[System] You are Project A, the Lead Automation Engineer. You generate strict Make.com JSON blueprints.

[User] Tạo quy trình tự động hóa: Gateway -> Google Sheets -> Google Sheets -> Builtin.

[Assistant]
```json
{
  "name": "Tìm kiếm khách hàng",
  "flow": [
    {
      "id": 1,
      "module": "gateway:CustomWebHook",
      "version": 1,
      "parameters": {
        "hook": 2402940,
        "maxResults": 1
      },
      "mapper": {},
      "metadata": {
        "designer": {
          "x": -232,
          "y": -30
        },
        "restore": {
          "parameters": {
            "hook": {
              "data": {
                "editable": "true"
              },
              "label": "Khách hàng"
            }
          }
        },
        "parameters": [
          {
            "name": "hook",
            "type": "hook:gateway-webhook",
            "label": "Webhook",
            "required": true
          },
          {
            "name": "maxResults",
            "type": "number",
            "label": "Maximum number of results"
          }
        ]
      }
    },
    {
      "id": 15,
      "module": "google-sheets:clearValuesFromRange",
      "version": 2,
      "parameters": {
        "__IMTCONN__": 7716070
      },
      "mapper": {
        "from": "drive",
        "range": "A2:Z",
        "sheet": "Khách hàng",
        "select": "list",
        "spreadsheetId": "/1m5M-BojGOKCpd0wW9Rkh2XgrlCkLPX_k/1balm_A5AoK2PAB1uQcDsZdalRoFlwgcS/1k9yjut3k1tl6XHwP2knFljpfLZFuKwH9EqWh7FwNDlM"
      },
      "metadata": {
        "designer": {
          "x": 64,
          "y": -28
        },
        "restore": {
          "expect": {
            "from": {
              "label": "My Drive"
            },
            "sheet": {
              "label": "Khách hàng"
            },
            "select": {
              "label": "Search by path"
            },
            "spreadsheetId": {
              "path": [
                "Test",
                "Tổng hợp",
                "Tìm sản phẩm"
              ]
            }
          },
          "parameters": {
            "__IMTCONN__": {
              "data": {
                "scoped": "true",
                "connection": "google"
              },
              "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
            }
          }
        },
        "parameters": [
          {
            "name": "__IMTCONN__",
            "type": "account:google",
            "label": "Connection",
            "required": true
          }
        ],
        "expect": [
          {
            "name": "select",
            "type": "select",
            "label": "Search Method",
            "required": true,
            "validate": {
              "enum": [
                "list",
                "fromAll",
                "map"
              ]
            }
          },
          {
            "name": "range",
            "type": "text",
            "label": "Range",
            "required": true
          },
          {
            "name": "from",
            "type": "select",
            "label": "Drive",
            "required": true,
            "validate": {
              "enum": [
                "drive",
                "share",
                "team"
              ]
            }
          },
          {
            "name": "spreadsheetId",
            "type": "file",
            "label": "Spreadsheet ID",
            "required": true
          },
          {
            "name": "select",
            "type": "select",
            "label": "Search Method",
            "required": true,
            "validate": {
              "enum": [
                "list",
                "fromAll",
                "map"
              ]
            }
          },
          {
            "name": "range",
            "type": "text",
            "label": "Range",
            "required": true
          },
          {
            "name": "from",
            "type": "select",
            "label": "Drive",
            "required": true,
            "validate": {
              "enum": [
                "drive",
                "share",
                "team"
              ]
            }
          },
          {
            "name": "spreadsheetId",
            "type": "file",
            "label": "Spreadsheet ID",
            "required": true
          },
          {
            "name": "sheet",
            "type": "select",
            "label": "Sheet Name",
            "required": true
          }
        ]
      }
    },
    {
      "id": 4,
      "module": "google-sheets:getSheetContent",
      "version": 2,
      "parameters": {
        "__IMTCONN__": 7716070
      },
      "mapper": {
        "from": "drive",
        "range": "A2:Z",
        "select": "list",
        "sheetId": "Yêu cầu",
        "spreadsheetId": "/1m5M-BojGOKCpd0wW9Rkh2XgrlCkLPX_k/1balm_A5AoK2PAB1uQcDsZdalRoFlwgcS/1k9yjut3k1tl6XHwP2knFljpfLZFuKwH9EqWh7FwNDlM",
        "tableFirstRow": "A1:Z1",
        "includesHeaders": true,
        "valueRenderOption": "FORMATTED_VALUE",
        "dateTimeRenderOption": "FORMATTED_STRING"
      },
      "metadata": {
        "designer": {
          "x": 346,
          "y": -30
        },
        "restore": {
          "expect": {
            "from": {
              "label": "My Drive"
            },
            "select": {
              "label": "Search by path"
            },
            "sheetId": {
              "label": "Yêu cầu"
            },
            "spreadsheetId": {
              "path": [
                "Test",
                "Tổng hợp",
                "Tìm sản phẩm"
              ]
            },
            "includesHeaders": {
              "mode": "chose"
            },
            "valueRenderOption": {
              "mode": "chose",
              "label": "Formatted value"
            },
            "dateTimeRenderOption": {
              "mode": "chose",
              "label": "Formatted string"
            }
          },
          "parameters": {
            "__IMTCONN__": {
              "data": {
                "scoped": "true",
                "connection": "google"
              },
              "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
            }
          }
        },
        "parameters": [
          {
            "name": "__IMTCONN__",
            "type": "account:google",
            "label": "Connection",
            "required": true
          }
        ],
        "expect": [
          {
            "name": "select",
            "type": "select",
            "label": "Search Method",
            "required": true,
            "validate": {
              "enum": [
                "list",
                "fromAll",
                "map"
              ]
            }
          },
          {
            "name": "range",
            "type": "text",
            "label": "Range",
            "required": true
          },
          {
            "name": "includesHeaders",
            "type": "boolean",
            "label": "Table contains headers",
            "required": true
          },
          {
            "name": "valueRenderOption",
            "type": "select",
            "label": "Value render option",
            "validate": {
              "enum": [
                "FORMATTED_VALUE",
                "UNFORMATTED_VALUE",
                "FORMULA"
              ]
            }
          },
          {
            "name": "dateTimeRenderOption",
            "type": "select",
            "label": "Date and time render option",
            "validate": {
              "enum": [
                "SERIAL_NUMBER",
                "FORMATTED_STRING"
              ]
            }
          },
          {
            "name": "from",
            "type": "select",
            "label": "Drive",
            "required": true,
            "validate": {
              "enum": [
                "drive",
                "share",
                "team"
              ]
            }
          },
          {
            "name": "spreadsheetId",
            "type": "file",
            "label": "Spreadsheet ID",
            "required": true
          },
          {
            "name": "sheetId",
            "type": "select",
            "label": "Sheet Name",
            "required": true
          },
          {
            "name": "tableFirstRow",
            "type": "text",
            "label": "Row with headers"
          }
        ],
        "interface": [
          {
            "name": "__IMTLENGTH__",
            "type": "uinteger",
            "label": "Total number of bundles"
          },
          {
            "name": "__IMTINDEX__",
            "type": "uinteger",
            "label": "Bundle order position"
          },
          {
            "name": "__ROW_NUMBER__",
            "type": "number",
            "label": "Row number"
          },
          {
            "name": "__SPREADSHEET_ID__",
            "type": "text",
            "label": "Spreadsheet ID"
          },
          {
            "name": "__SHEET__",
            "type": "text",
            "label": "Sheet"
          },
          {
            "name": "0",
            "type": "text",
            "label": "Sản phẩm không đủ số lượng (A)"
          },
          {
            "name": "1",
            "type": "text",
            "label": "Sản phẩm muốn tìm (B)"
          },
          {
            "name": "2",
            "type": "text",
            "label": "So sánh giá nhập (C)"
          },
          {
            "name": "3",
            "type": "text",
            "label": "Tìm sản phẩm tồn kho dưới định mức (D)"
          },
          {
            "name": "4",
            "type": "text",
            "label": "Kiểm tra khách hàng (E)"
          },
          {
            "name": "5",
            "type": "text",
            "label": "(F)"
          },
          {
            "name": "6",
            "type": "text",
            "label": "(G)"
          },
          {
            "name": "7",
            "type": "text",
            "label": "(H)"
          },
          {
            "name": "8",
            "type": "text",
            "label": "(I)"
          },
          {
            "name": "9",
            "type": "text",
            "label": "(J)"
          },
          {
            "name": "10",
            "type": "text",
            "label": "(K)"
          },
          {
            "name": "11",
            "type": "text",
            "label": "(L)"
          },
          {
            "name": "12",
            "type": "text",
            "label": "(M)"
          },
          {
            "name": "13",
            "type": "text",
            "label": "(N)"
          },
          {
            "name": "14",
            "type": "text",
            "label": "(O)"
          },
          {
            "name": "15",
            "type": "text",
            "label": "(P)"
          },
          {
            "name": "16",
            "type": "text",
            "label": "(Q)"
          },
          {
            "name": "17",
            "type": "text",
            "label": "(R)"
          },
          {
            "name": "18",
            "type": "text",
            "label": "(S)"
          },
          {
            "name": "19",
            "type": "text",
            "label": "(T)"
          },
          {
            "name": "20",
            "type": "text",
            "label": "(U)"
          },
          {
            "name": "21",
            "type": "text",
            "label": "(V)"
          },
          {
            "name": "22",
            "type": "text",
            "label": "(W)"
          },
          {
            "name": "23",
            "type": "text",
            "label": "(X)"
          },
          {
            "name": "24",
            "type": "text",
            "label": "(Y)"
          },
          {
            "name": "25",
            "type": "text",
            "label": "(Z)"
          }
        ]
      }
    },
    {
      "id": 5,
      "module": "builtin:BasicRouter",
      "version": 1,
      "mapper": null,
      "metadata": {
        "designer": {
          "x": 704,
          "y": -18
        }
      },
      "routes": [
        {
          "flow": [
            {
              "id": 6,
              "module": "google-sheets:getSheetContent",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{4.`4`}}",
                      "b": "Thường",
                      "o": "text:equal"
                    }
                  ]
                ]
              },
              "mapper": {
                "from": "drive",
                "range": "A2:Z",
                "select": "list",
                "sheetId": "KHACH HANG",
                "spreadsheetId": "/1m5M-BojGOKCpd0wW9Rkh2XgrlCkLPX_k/1balm_A5AoK2PAB1uQcDsZdalRoFlwgcS/1WjUZhTpAzUMpLeds-KTKf5uEg_v9PhWQQPUZQVdGAJw",
                "tableFirstRow": "A1:Z1",
                "includesHeaders": true,
                "valueRenderOption": "FORMATTED_VALUE",
                "dateTimeRenderOption": "FORMATTED_STRING"
              },
              "metadata": {
                "designer": {
                  "x": 1335,
                  "y": -347
                },
                "restore": {
                  "expect": {
                    "from": {
                      "label": "My Drive"
                    },
                    "select": {
                      "label": "Search by path"
                    },
                    "sheetId": {
                      "label": "KHACH HANG"
                    },
                    "spreadsheetId": {
                      "path": [
                        "Test",
                        "Tổng hợp",
                        "Tổng hợp Danh sách Khách hàng"
                      ]
                    },
                    "includesHeaders": {
                      "mode": "chose"
                    },
                    "valueRenderOption": {
                      "mode": "chose",
                      "label": "Formatted value"
                    },
                    "dateTimeRenderOption": {
                      "mode": "chose",
                      "label": "Formatted string"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "select",
                    "type": "select",
                    "label": "Search Method",
                    "required": true,
                    "validate": {
                      "enum": [
                        "list",
                        "fromAll",
                        "map"
                      ]
                    }
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "name": "includesHeaders",
                    "type": "boolean",
                    "label": "Table contains headers",
                    "required": true
                  },
                  {
                    "name": "valueRenderOption",
                    "type": "select",
                    "label": "Value render option",
                    "validate": {
                      "enum": [
                        "FORMATTED_VALUE",
                        "UNFORMATTED_VALUE",
                        "FORMULA"
                      ]
                    }
                  },
                  {
                    "name": "dateTimeRenderOption",
                    "type": "select",
                    "label": "Date and time render option",
                    "validate": {
                      "enum": [
                        "SERIAL_NUMBER",
                        "FORMATTED_STRING"
                      ]
                    }
                  },
                  {
                    "name": "from",
                    "type": "select",
                    "label": "Drive",
                    "required": true,
                    "validate": {
                      "enum": [
                        "drive",
                        "share",
                        "team"
                      ]
                    }
                  },
                  {
                    "name": "spreadsheetId",
                    "type": "file",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "tableFirstRow",
                    "type": "text",
                    "label": "Row with headers"
                  }
                ],
                "interface": [
                  {
                    "name": "__IMTLENGTH__",
                    "type": "uinteger",
                    "label": "Total number of bundles"
                  },
                  {
                    "name": "__IMTINDEX__",
                    "type": "uinteger",
                    "label": "Bundle order position"
                  },
                  {
                    "name": "__ROW_NUMBER__",
                    "type": "number",
                    "label": "Row number"
                  },
                  {
                    "name": "__SPREADSHEET_ID__",
                    "type": "text",
                    "label": "Spreadsheet ID"
                  },
                  {
                    "name": "__SHEET__",
                    "type": "text",
                    "label": "Sheet"
                  },
                  {
                    "name": "0",
                    "type": "text",
                    "label": "Tên khách hàng * (A)"
                  },
                  {
                    "name": "1",
                    "type": "text",
                    "label": "Mã khách hàng (B)"
                  },
                  {
                    "name": "2",
                    "type": "text",
                    "label": "Mã nhóm khách hàng (C)"
                  },
                  {
                    "name": "3",
                    "type": "text",
                    "label": "Tổng chi tiêu (D)"
                  },
                  {
                    "name": "4",
                    "type": "text",
                    "label": "Ngày mua cuối cùng (E)"
                  },
                  {
                    "name": "5",
                    "type": "text",
                    "label": "Điểm hiện tại (F)"
                  },
                  {
                    "name": "6",
                    "type": "text",
                    "label": "Điện thoại (G)"
                  },
                  {
                    "name": "7",
                    "type": "text",
                    "label": "(H)"
                  },
                  {
                    "name": "8",
                    "type": "text",
                    "label": "(I)"
                  },
                  {
                    "name": "9",
                    "type": "text",
                    "label": "(J)"
                  },
                  {
                    "name": "10",
                    "type": "text",
                    "label": "(K)"
                  },
                  {
                    "name": "11",
                    "type": "text",
                    "label": "(L)"
                  },
                  {
                    "name": "12",
                    "type": "text",
                    "label": "(M)"
                  },
                  {
                    "name": "13",
                    "type": "text",
                    "label": "(N)"
                  },
                  {
                    "name": "14",
                    "type": "text",
                    "label": "(O)"
                  },
                  {
                    "name": "15",
                    "type": "text",
                    "label": "(P)"
                  },
                  {
                    "name": "16",
                    "type": "text",
                    "label": "(Q)"
                  },
                  {
                    "name": "17",
                    "type": "text",
                    "label": "(R)"
                  },
                  {
                    "name": "18",
                    "type": "text",
                    "label": "(S)"
                  },
                  {
                    "name": "19",
                    "type": "text",
                    "label": "(T)"
                  },
                  {
                    "name": "20",
                    "type": "text",
                    "label": "(U)"
                  },
                  {
                    "name": "21",
                    "type": "text",
                    "label": "(V)"
                  },
                  {
                    "name": "22",
                    "type": "text",
                    "label": "(W)"
                  },
                  {
                    "name": "23",
                    "type": "text",
                    "label": "(X)"
                  },
                  {
                    "name": "24",
                    "type": "text",
                    "label": "(Y)"
                  },
                  {
                    "name": "25",
                    "type": "text",
                    "label": "(Z)"
                  }
                ]
              }
            },
            {
              "id": 7,
              "module": "builtin:BasicAggregator",
              "version": 1,
              "parameters": {
                "feeder": 6
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{6.`2`}}",
                      "b": "BANLE",
                      "o": "text:equal"
                    },
                    {
                      "a": "{{6.`3`}}",
                      "b": "5000000",
                      "o": "number:less"
                    }
                  ]
                ]
              },
              "mapper": {
                "0": "{{6.`0`}}",
                "1": "{{6.`1`}}",
                "2": "{{6.`2`}}",
                "3": "{{6.`3`}}",
                "4": "{{6.`4`}}",
                "5": "{{6.`5`}}",
                "6": "{{6.`6`}}"
              },
              "metadata": {
                "designer": {
                  "x": 1660,
                  "y": -349
                },
                "restore": {
                  "extra": {
                    "feeder": {
                      "label": "Google Sheets - Get Range Values [2]"
                    },
                    "target": {
                      "label": "Custom"
                    }
                  }
                }
              }
            },
            {
              "id": 12,
              "module": "google-sheets:updateMultipleRows",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "mapper": {
                "rows": "{{7.array}}",
                "range": "A2:Z",
                "sheetId": "Khách hàng",
                "spreadsheetId": "1k9yjut3k1tl6XHwP2knFljpfLZFuKwH9EqWh7FwNDlM",
                "valueInputOption": "USER_ENTERED"
              },
              "metadata": {
                "designer": {
                  "x": 1960,
                  "y": -349
                },
                "restore": {
                  "expect": {
                    "rows": {
                      "mode": "edit"
                    },
                    "sheetId": {
                      "mode": "chose",
                      "label": "Khách hàng"
                    },
                    "valueInputOption": {
                      "mode": "chose",
                      "label": "User entered"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "spreadsheetId",
                    "type": "text",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "valueInputOption",
                    "type": "select",
                    "label": "Value input option"
                  },
                  {
                    "type": "hidden"
                  },
                  {
                    "mode": "edit",
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "mode": "edit",
                    "name": "rows",
                    "spec": {
                      "name": "value",
                      "spec": [
                        {
                          "name": "values",
                          "spec": {
                            "type": "text",
                            "label": "Column"
                          },
                          "type": "array",
                          "label": "Values",
                          "labels": {
                            "add": "Add value"
                          }
                        }
                      ],
                      "type": "collection",
                      "label": "Row"
                    },
                    "type": "array",
                    "label": "Rows"
                  }
                ]
              }
            }
          ]
        },
        {
          "flow": [
            {
              "id": 8,
              "module": "google-sheets:getSheetContent",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{4.`4`}}",
                      "b": "Vip",
                      "o": "text:equal"
                    }
                  ]
                ]
              },
              "mapper": {
                "from": "drive",
                "range": "A2:Z",
                "select": "list",
                "sheetId": "KHACH HANG",
                "spreadsheetId": "/1m5M-BojGOKCpd0wW9Rkh2XgrlCkLPX_k/1balm_A5AoK2PAB1uQcDsZdalRoFlwgcS/1WjUZhTpAzUMpLeds-KTKf5uEg_v9PhWQQPUZQVdGAJw",
                "tableFirstRow": "A1:Z1",
                "includesHeaders": true,
                "valueRenderOption": "FORMATTED_VALUE",
                "dateTimeRenderOption": "FORMATTED_STRING"
              },
              "metadata": {
                "designer": {
                  "x": 1349,
                  "y": -110
                },
                "restore": {
                  "expect": {
                    "from": {
                      "label": "My Drive"
                    },
                    "select": {
                      "label": "Search by path"
                    },
                    "sheetId": {
                      "label": "KHACH HANG"
                    },
                    "spreadsheetId": {
                      "path": [
                        "Test",
                        "Tổng hợp",
                        "Tổng hợp Danh sách Khách hàng"
                      ]
                    },
                    "includesHeaders": {
                      "mode": "chose"
                    },
                    "valueRenderOption": {
                      "mode": "chose",
                      "label": "Formatted value"
                    },
                    "dateTimeRenderOption": {
                      "mode": "chose",
                      "label": "Formatted string"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "select",
                    "type": "select",
                    "label": "Search Method",
                    "required": true,
                    "validate": {
                      "enum": [
                        "list",
                        "fromAll",
                        "map"
                      ]
                    }
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "name": "includesHeaders",
                    "type": "boolean",
                    "label": "Table contains headers",
                    "required": true
                  },
                  {
                    "name": "valueRenderOption",
                    "type": "select",
                    "label": "Value render option",
                    "validate": {
                      "enum": [
                        "FORMATTED_VALUE",
                        "UNFORMATTED_VALUE",
                        "FORMULA"
                      ]
                    }
                  },
                  {
                    "name": "dateTimeRenderOption",
                    "type": "select",
                    "label": "Date and time render option",
                    "validate": {
                      "enum": [
                        "SERIAL_NUMBER",
                        "FORMATTED_STRING"
                      ]
                    }
                  },
                  {
                    "name": "from",
                    "type": "select",
                    "label": "Drive",
                    "required": true,
                    "validate": {
                      "enum": [
                        "drive",
                        "share",
                        "team"
                      ]
                    }
                  },
                  {
                    "name": "spreadsheetId",
                    "type": "file",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "tableFirstRow",
                    "type": "text",
                    "label": "Row with headers"
                  }
                ],
                "interface": [
                  {
                    "name": "__IMTLENGTH__",
                    "type": "uinteger",
                    "label": "Total number of bundles"
                  },
                  {
                    "name": "__IMTINDEX__",
                    "type": "uinteger",
                    "label": "Bundle order position"
                  },
                  {
                    "name": "__ROW_NUMBER__",
                    "type": "number",
                    "label": "Row number"
                  },
                  {
                    "name": "__SPREADSHEET_ID__",
                    "type": "text",
                    "label": "Spreadsheet ID"
                  },
                  {
                    "name": "__SHEET__",
                    "type": "text",
                    "label": "Sheet"
                  },
                  {
                    "name": "0",
                    "type": "text",
                    "label": "Tên khách hàng * (A)"
                  },
                  {
                    "name": "1",
                    "type": "text",
                    "label": "Mã khách hàng (B)"
                  },
                  {
                    "name": "2",
                    "type": "text",
                    "label": "Mã nhóm khách hàng (C)"
                  },
                  {
                    "name": "3",
                    "type": "text",
                    "label": "Tổng chi tiêu (D)"
                  },
                  {
                    "name": "4",
                    "type": "text",
                    "label": "Ngày mua cuối cùng (E)"
                  },
                  {
                    "name": "5",
                    "type": "text",
                    "label": "Điểm hiện tại (F)"
                  },
                  {
                    "name": "6",
                    "type": "text",
                    "label": "Điện thoại (G)"
                  },
                  {
                    "name": "7",
                    "type": "text",
                    "label": "(H)"
                  },
                  {
                    "name": "8",
                    "type": "text",
                    "label": "(I)"
                  },
                  {
                    "name": "9",
                    "type": "text",
                    "label": "(J)"
                  },
                  {
                    "name": "10",
                    "type": "text",
                    "label": "(K)"
                  },
                  {
                    "name": "11",
                    "type": "text",
                    "label": "(L)"
                  },
                  {
                    "name": "12",
                    "type": "text",
                    "label": "(M)"
                  },
                  {
                    "name": "13",
                    "type": "text",
                    "label": "(N)"
                  },
                  {
                    "name": "14",
                    "type": "text",
                    "label": "(O)"
                  },
                  {
                    "name": "15",
                    "type": "text",
                    "label": "(P)"
                  },
                  {
                    "name": "16",
                    "type": "text",
                    "label": "(Q)"
                  },
                  {
                    "name": "17",
                    "type": "text",
                    "label": "(R)"
                  },
                  {
                    "name": "18",
                    "type": "text",
                    "label": "(S)"
                  },
                  {
                    "name": "19",
                    "type": "text",
                    "label": "(T)"
                  },
                  {
                    "name": "20",
                    "type": "text",
                    "label": "(U)"
                  },
                  {
                    "name": "21",
                    "type": "text",
                    "label": "(V)"
                  },
                  {
                    "name": "22",
                    "type": "text",
                    "label": "(W)"
                  },
                  {
                    "name": "23",
                    "type": "text",
                    "label": "(X)"
                  },
                  {
                    "name": "24",
                    "type": "text",
                    "label": "(Y)"
                  },
                  {
                    "name": "25",
                    "type": "text",
                    "label": "(Z)"
                  }
                ]
              }
            },
            {
              "id": 9,
              "module": "builtin:BasicAggregator",
              "version": 1,
              "parameters": {
                "feeder": 8
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{8.`2`}}",
                      "b": "VIP",
                      "o": "text:equal"
                    },
                    {
                      "a": "{{8.`3`}}",
                      "b": "5000000",
                      "o": "number:greaterorequal"
                    }
                  ]
                ]
              },
              "mapper": {
                "0": "{{8.`0`}}",
                "1": "{{8.`1`}}",
                "2": "{{8.`2`}}",
                "3": "{{8.`3`}}",
                "4": "{{8.`4`}}",
                "5": "{{8.`5`}}",
                "6": "{{8.`6`}}"
              },
              "metadata": {
                "designer": {
                  "x": 1690,
                  "y": -105
                },
                "restore": {
                  "extra": {
                    "feeder": {
                      "label": "Google Sheets - Get Range Values [2]"
                    },
                    "target": {
                      "label": "Custom"
                    }
                  }
                }
              }
            },
            {
              "id": 13,
              "module": "google-sheets:updateMultipleRows",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "mapper": {
                "rows": "{{9.array}}",
                "range": "A2:Z",
                "sheetId": "Khách hàng",
                "spreadsheetId": "1k9yjut3k1tl6XHwP2knFljpfLZFuKwH9EqWh7FwNDlM",
                "valueInputOption": "USER_ENTERED"
              },
              "metadata": {
                "designer": {
                  "x": 1969,
                  "y": -108
                },
                "restore": {
                  "expect": {
                    "rows": {
                      "mode": "edit"
                    },
                    "sheetId": {
                      "mode": "chose",
                      "label": "Khách hàng"
                    },
                    "valueInputOption": {
                      "mode": "chose",
                      "label": "User entered"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "spreadsheetId",
                    "type": "text",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "valueInputOption",
                    "type": "select",
                    "label": "Value input option"
                  },
                  {
                    "type": "hidden"
                  },
                  {
                    "mode": "edit",
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "mode": "edit",
                    "name": "rows",
                    "spec": {
                      "name": "value",
                      "spec": [
                        {
                          "name": "values",
                          "spec": {
                            "type": "text",
                            "label": "Column"
                          },
                          "type": "array",
                          "label": "Values",
                          "labels": {
                            "add": "Add value"
                          }
                        }
                      ],
                      "type": "collection",
                      "label": "Row"
                    },
                    "type": "array",
                    "label": "Rows"
                  }
                ]
              }
            }
          ]
        },
        {
          "flow": [
            {
              "id": 10,
              "module": "google-sheets:getSheetContent",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{4.`4`}}",
                      "b": "Đủ điều kiện nhưng chưa phải Vip",
                      "o": "text:equal"
                    }
                  ]
                ]
              },
              "mapper": {
                "from": "drive",
                "range": "A2:Z",
                "select": "list",
                "sheetId": "KHACH HANG",
                "spreadsheetId": "/1m5M-BojGOKCpd0wW9Rkh2XgrlCkLPX_k/1balm_A5AoK2PAB1uQcDsZdalRoFlwgcS/1WjUZhTpAzUMpLeds-KTKf5uEg_v9PhWQQPUZQVdGAJw",
                "tableFirstRow": "A1:Z1",
                "includesHeaders": true,
                "valueRenderOption": "FORMATTED_VALUE",
                "dateTimeRenderOption": "FORMATTED_STRING"
              },
              "metadata": {
                "designer": {
                  "x": 1337,
                  "y": 181
                },
                "restore": {
                  "expect": {
                    "from": {
                      "label": "My Drive"
                    },
                    "select": {
                      "label": "Search by path"
                    },
                    "sheetId": {
                      "label": "KHACH HANG"
                    },
                    "spreadsheetId": {
                      "path": [
                        "Test",
                        "Tổng hợp",
                        "Tổng hợp Danh sách Khách hàng"
                      ]
                    },
                    "includesHeaders": {
                      "mode": "chose"
                    },
                    "valueRenderOption": {
                      "mode": "chose",
                      "label": "Formatted value"
                    },
                    "dateTimeRenderOption": {
                      "mode": "chose",
                      "label": "Formatted string"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "select",
                    "type": "select",
                    "label": "Search Method",
                    "required": true,
                    "validate": {
                      "enum": [
                        "list",
                        "fromAll",
                        "map"
                      ]
                    }
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "name": "includesHeaders",
                    "type": "boolean",
                    "label": "Table contains headers",
                    "required": true
                  },
                  {
                    "name": "valueRenderOption",
                    "type": "select",
                    "label": "Value render option",
                    "validate": {
                      "enum": [
                        "FORMATTED_VALUE",
                        "UNFORMATTED_VALUE",
                        "FORMULA"
                      ]
                    }
                  },
                  {
                    "name": "dateTimeRenderOption",
                    "type": "select",
                    "label": "Date and time render option",
                    "validate": {
                      "enum": [
                        "SERIAL_NUMBER",
                        "FORMATTED_STRING"
                      ]
                    }
                  },
                  {
                    "name": "from",
                    "type": "select",
                    "label": "Drive",
                    "required": true,
                    "validate": {
                      "enum": [
                        "drive",
                        "share",
                        "team"
                      ]
                    }
                  },
                  {
                    "name": "spreadsheetId",
                    "type": "file",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "tableFirstRow",
                    "type": "text",
                    "label": "Row with headers"
                  }
                ],
                "interface": [
                  {
                    "name": "__IMTLENGTH__",
                    "type": "uinteger",
                    "label": "Total number of bundles"
                  },
                  {
                    "name": "__IMTINDEX__",
                    "type": "uinteger",
                    "label": "Bundle order position"
                  },
                  {
                    "name": "__ROW_NUMBER__",
                    "type": "number",
                    "label": "Row number"
                  },
                  {
                    "name": "__SPREADSHEET_ID__",
                    "type": "text",
                    "label": "Spreadsheet ID"
                  },
                  {
                    "name": "__SHEET__",
                    "type": "text",
                    "label": "Sheet"
                  },
                  {
                    "name": "0",
                    "type": "text",
                    "label": "Tên khách hàng * (A)"
                  },
                  {
                    "name": "1",
                    "type": "text",
                    "label": "Mã khách hàng (B)"
                  },
                  {
                    "name": "2",
                    "type": "text",
                    "label": "Mã nhóm khách hàng (C)"
                  },
                  {
                    "name": "3",
                    "type": "text",
                    "label": "Tổng chi tiêu (D)"
                  },
                  {
                    "name": "4",
                    "type": "text",
                    "label": "Ngày mua cuối cùng (E)"
                  },
                  {
                    "name": "5",
                    "type": "text",
                    "label": "Điểm hiện tại (F)"
                  },
                  {
                    "name": "6",
                    "type": "text",
                    "label": "Điện thoại (G)"
                  },
                  {
                    "name": "7",
                    "type": "text",
                    "label": "(H)"
                  },
                  {
                    "name": "8",
                    "type": "text",
                    "label": "(I)"
                  },
                  {
                    "name": "9",
                    "type": "text",
                    "label": "(J)"
                  },
                  {
                    "name": "10",
                    "type": "text",
                    "label": "(K)"
                  },
                  {
                    "name": "11",
                    "type": "text",
                    "label": "(L)"
                  },
                  {
                    "name": "12",
                    "type": "text",
                    "label": "(M)"
                  },
                  {
                    "name": "13",
                    "type": "text",
                    "label": "(N)"
                  },
                  {
                    "name": "14",
                    "type": "text",
                    "label": "(O)"
                  },
                  {
                    "name": "15",
                    "type": "text",
                    "label": "(P)"
                  },
                  {
                    "name": "16",
                    "type": "text",
                    "label": "(Q)"
                  },
                  {
                    "name": "17",
                    "type": "text",
                    "label": "(R)"
                  },
                  {
                    "name": "18",
                    "type": "text",
                    "label": "(S)"
                  },
                  {
                    "name": "19",
                    "type": "text",
                    "label": "(T)"
                  },
                  {
                    "name": "20",
                    "type": "text",
                    "label": "(U)"
                  },
                  {
                    "name": "21",
                    "type": "text",
                    "label": "(V)"
                  },
                  {
                    "name": "22",
                    "type": "text",
                    "label": "(W)"
                  },
                  {
                    "name": "23",
                    "type": "text",
                    "label": "(X)"
                  },
                  {
                    "name": "24",
                    "type": "text",
                    "label": "(Y)"
                  },
                  {
                    "name": "25",
                    "type": "text",
                    "label": "(Z)"
                  }
                ]
              }
            },
            {
              "id": 11,
              "module": "builtin:BasicAggregator",
              "version": 1,
              "parameters": {
                "feeder": 10
              },
              "filter": {
                "name": "",
                "conditions": [
                  [
                    {
                      "a": "{{10.`2`}}",
                      "b": "BANLE",
                      "o": "text:equal"
                    },
                    {
                      "a": "{{10.`3`}}",
                      "b": "5000000",
                      "o": "number:greaterorequal"
                    }
                  ]
                ]
              },
              "mapper": {
                "0": "{{10.`0`}}",
                "1": "{{10.`1`}}",
                "2": "{{10.`2`}}",
                "3": "{{10.`3`}}",
                "4": "{{10.`4`}}",
                "5": "{{10.`5`}}",
                "6": "{{10.`6`}}"
              },
              "metadata": {
                "designer": {
                  "x": 1722,
                  "y": 182
                },
                "restore": {
                  "extra": {
                    "feeder": {
                      "label": "Google Sheets - Get Range Values [2]"
                    },
                    "target": {
                      "label": "Custom"
                    }
                  }
                }
              }
            },
            {
              "id": 14,
              "module": "google-sheets:updateMultipleRows",
              "version": 2,
              "parameters": {
                "__IMTCONN__": 7716070
              },
              "mapper": {
                "rows": "{{11.array}}",
                "range": "A2:Z",
                "sheetId": "Khách hàng",
                "spreadsheetId": "1k9yjut3k1tl6XHwP2knFljpfLZFuKwH9EqWh7FwNDlM",
                "valueInputOption": "USER_ENTERED"
              },
              "metadata": {
                "designer": {
                  "x": 1992,
                  "y": 171
                },
                "restore": {
                  "expect": {
                    "rows": {
                      "mode": "edit"
                    },
                    "sheetId": {
                      "mode": "chose",
                      "label": "Khách hàng"
                    },
                    "valueInputOption": {
                      "mode": "chose",
                      "label": "User entered"
                    }
                  },
                  "parameters": {
                    "__IMTCONN__": {
                      "data": {
                        "scoped": "true",
                        "connection": "google"
                      },
                      "label": "My Google connection (sonht.23bi14386@usth.edu.vn)"
                    }
                  }
                },
                "parameters": [
                  {
                    "name": "__IMTCONN__",
                    "type": "account:google",
                    "label": "Connection",
                    "required": true
                  }
                ],
                "expect": [
                  {
                    "name": "spreadsheetId",
                    "type": "text",
                    "label": "Spreadsheet ID",
                    "required": true
                  },
                  {
                    "name": "valueInputOption",
                    "type": "select",
                    "label": "Value input option"
                  },
                  {
                    "type": "hidden"
                  },
                  {
                    "mode": "edit",
                    "name": "sheetId",
                    "type": "select",
                    "label": "Sheet Name",
                    "required": true
                  },
                  {
                    "name": "range",
                    "type": "text",
                    "label": "Range",
                    "required": true
                  },
                  {
                    "mode": "edit",
                    "name": "rows",
                    "spec": {
                      "name": "value",
                      "spec": [
                        {
                          "name": "values",
                          "spec": {
                            "type": "text",
                            "label": "Column"
                          },
                          "type": "array",
                          "label": "Values",
                          "labels": {
                            "add": "Add value"
                          }
                        }
                      ],
                      "type": "collection",
                      "label": "Row"
                    },
                    "type": "array",
                    "label": "Rows"
                  }
                ]
              }
            }
          ]
        }
      ]
    }
  ],
  "metadata": {
    "instant": true,
    "version": 1,
    "scenario": {
      "roundtrips": 1,
      "maxErrors": 3,
      "autoCommit": true,
      "autoCommitTriggerLast": true,
      "sequential": false,
      "slots": null,
      "confidential": false,
      "dataloss": false,
      "dlq": false,
      "freshVariables": false
    },
    "designer": {
      "orphans": []
    },
    "zone": "eu2.make.com",
    "notes": []
  }
}
```


[System] You are Project A, an expert Retail Consultant.

[User] Làm thế nào tôi có thể khuyến khích khách hàng của mình tự nguyện giúp đỡ và đóng góp tích cực cho cửa hàng bán lẻ của tôi?

[Assistant]
<think>The user is asking how to encourage customer citizenship behavior (CCB) in their retail store. Based on the source document, CCB refers to voluntary, extra-role behaviors by customers that benefit the business. The document states that relationship quality directly and indirectly (via customer loyalty) impacts CCB. To enhance relationship quality, the antecedents are communication effectiveness, location access convenience, and customer loyalty programs. Therefore, the solution involves improving these factors: first, focus on effective communication with customers to build trust and engagement; second, ensure the store location is easily accessible and convenient; third, implement or optimize loyalty programs to foster customer loyalty. By strengthening these areas, relationship quality improves, leading to increased CCB as customers feel more connected and loyal to the business.</think>
Dựa trên nghiên cứu, để thúc đẩy hành vi công dân của khách hàng (như tự nguyện giúp đỡ cửa hàng), bạn cần cải thiện chất lượng mối quan hệ với khách hàng. Cụ thể: (1) Nâng cao hiệu quả giao tiếp: đảm bảo phản hồi nhanh chóng, lắng nghe phản hồi của khách hàng, và cung cấp thông tin rõ ràng. (2) Cải thiện sự thuận tiện về vị trí: chọn địa điểm dễ tiếp cận, có bãi đậu xe, và giờ mở cửa linh hoạt. (3) Phát triển chương trình khách hàng thân thiết: tạo ưu đãi hấp dẫn, điểm thưởng, và các lợi ích cá nhân hóa. Những biện pháp này sẽ tăng cường lòng trung thành và mối quan hệ, từ đó khách hàng sẽ tự nguyện hỗ trợ cửa hàng nhiều hơn.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a technical or academic document, specifically a research paper or a technical report. The page is divided into several sections, each containing text and diagrams. Here is a detailed description of the content:

### Top Section
- **Title**: The title at the top of the page is not clearly visible, but it seems to be related to the content of the document.
- **Author**: The author's name is not visible, but it is likely to be "Đỗ Quang Hùng".

### Main Body
- **Text**: The main body of the page contains a block of text that appears to be a discussion or explanation of a technical concept or methodology. The text is written in Vietnamese and is formatted in a clear, readable manner.
- **Flowchart**: There is a flowchart on the right side of the page, which appears to be a diagram illustrating a process or algorithm. The flowchart includes various steps and connections between different components, which might be related to the text on the left side.

### Section 4: Results and Analysis
- **Text**: This section contains a detailed analysis or results of a study or experiment. The text is written in Vietnamese and is formatted in a clear, readable manner.
- **Heatmap**: There is a heatmap on the right side of the page, which is a graphical representation of data. The heatmap shows a color-coded matrix of data points, with different colors representing different values or categories. The color gradient indicates the magnitude of the data points, with lighter colors representing lower values and darker colors representing higher values.

### Section 4.1: Analysis
- **Text**: This section provides a detailed analysis of the results or findings. The text is written in Vietnamese and is formatted in a clear, readable manner.
- **Heatmap**: There is a heatmap on the right side of the page, which is a graphical representation of data. The heatmap shows a color-coded matrix of data points, with different colors representing different values or categories. The color gradient indicates the magnitude of the data points, with lighter colors representing lower values and darker colors representing higher values.

### Section 4.2: Conclusion
- **Text**: This section provides a conclusion or summary of the findings. The text is written in Vietnamese and is formatted in a clear, readable manner.
- **Heatmap**: There is a heatmap on the right side of the page, which is a graphical representation of data. The heatmap shows a color-coded matrix of data points, with different colors representing different values or categories. The color gradient indicates the magnitude of the data points, with lighter colors representing lower values and darker colors representing higher values.

### Section 4.3: References
- **Text**: This section lists references or sources used in the document. The text is written in Vietnamese and is formatted in a clear, readable manner.
- **Heatmap**: There is a heatmap on the right side of the page, which is a graphical representation of data. The heatmap shows a color-coded matrix of data points, with different colors representing different values or categories. The color gradient indicates the magnitude of the data points, with lighter colors representing lower values and darker colors representing higher values.

### Overall Analysis
This page appears to be a technical or academic document, possibly a research paper or a technical report. The text and diagrams are formatted in a clear, readable manner, and the use of a heatmap suggests that the document may be related to data analysis or statistical methods. The presence of a flowchart and a conclusion section indicates that the document is structured to provide a comprehensive overview of the findings and methodology used in the research.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, likely a research paper or academic article. The page number is 18, as indicated at the bottom. The document is written in Vietnamese and appears to be structured in a logical and coherent manner. Here is a detailed description of the page:

### Header:
- **Title**: TẬP CHÍ KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯỜNG
- **Author**: Đỗ Quang Hùng

### Main Content:
The main content of the page is divided into two main sections: text and a flowchart.

#### Text Section:
The text is written in paragraphs and discusses various statistical measures and techniques used in data analysis. The text is organized in a logical flow, starting with an introduction to statistical measures like RMSE, MAE, and MAPE, followed by a discussion on how these measures are used to evaluate the performance of a model. The text then moves on to explain the use of MAPE for evaluating the accuracy of a model, and how it is calculated. The text also mentions the use of Random Forest, XGBoost, and MLP (Neural Network) for model evaluation.

#### Flowchart Section:
The flowchart section is a visual representation of the process used to evaluate the performance of a model. It starts with the input data, which is then processed through various steps, including data cleaning, feature selection, and model evaluation. The flowchart includes steps such as data preprocessing, feature engineering, model training, and model evaluation. The flowchart is designed to illustrate the sequence of steps involved in the evaluation process.

### Additional Elements:
- **Hình 1. Các bước xây dựng mô hình dự báo**: This section is a flowchart that illustrates the steps involved in building a predictive model.
- **Hình 2. Biểu đồ nhiệt độ: Heatmap**: This section shows a heatmap, which is a graphical representation of the relationships between variables. The heatmap is color-coded, with different colors representing different values. The heatmap is used to visualize the correlation between different variables.

### Analysis:
The document appears to be a technical or academic paper, likely discussing statistical methods and their applications in data analysis. The flowchart section is particularly useful for understanding the sequence of steps involved in building a predictive model. The text section provides a detailed explanation of the statistical measures used and their applications, which is crucial for anyone working with data analysis.

### Conclusion:
This page provides a comprehensive overview of statistical measures and techniques used in data analysis, along with a visual representation of the evaluation process. The flowchart section is particularly useful for understanding the sequence of steps involved in building a predictive model, making it a valuable resource for anyone working with data analysis.


[System] You are Project A, an expert Retail Consultant.

[User] Làm thế nào để khuyến khích khách hàng của tôi tại một cửa hàng bán lẻ hàng tiêu dùng ở Việt Nam thể hiện hành vi công dân như giúp đỡ nhân viên, đóng góp ý tưởng cải thiện, và giới thiệu cửa hàng cho người khác?

[Assistant]
<think>Đầu tiên, dựa vào văn bản nguồn, xác định rằng hành vi công dân của khách hàng bao gồm các hành động tự nguyện như giúp đỡ nhân viên hoặc khách hàng khác, đóng góp ý tưởng cải thiện chất lượng, và giới thiệu doanh nghiệp, giúp nâng cao hiệu quả kinh doanh và khả năng cạnh tranh (Auh et al., 2007; Yi & Gong, 2013). Tiếp theo, văn bản chỉ ra rằng trong ngành bán lẻ hàng tiêu dùng, đặc biệt ở thị trường mới nổi như Việt Nam, việc xây dựng mối quan hệ với khách hàng là quan trọng hàng đầu do phụ thuộc vào mua lặp lại và rào cản chuyển đổi thấp (Vesel & Zabkar, 2010; Fernandes & Pinto, 2019). Thêm nữa, bối cảnh thị trường Việt Nam với dân số đông, cơ cấu trẻ, và tiêu dùng gia đình cao tạo cơ hội để tiếp cận khách hàng (Kantarworldpanel, 2023). Từ đó, để giải quyết câu hỏi, cần tập trung vào các yếu tố thúc đẩy hành vi công dân thông qua việc củng cố mối quan hệ khách hàng, tạo điều kiện cho phản hồi, và tận dụng đặc điểm thị trường địa phương, dựa trên các nghiên cứu được đề cập.</think>
Để thúc đẩy hành vi công dân của khách hàng trong cửa hàng bán lẻ hàng tiêu dùng của bạn tại Việt Nam, hãy áp dụng các biện pháp sau dựa trên thông tin từ văn bản: 1. Tăng cường mối quan hệ với khách hàng bằng cách cung cấp dịch vụ cá nhân hóa và tương tác thường xuyên, vì mối quan hệ bền vững là chìa khóa trong ngành bán lẻ (Fernandes & Pinto, 2019). 2. Khuyến khích khách hàng đóng góp ý tưởng cải thiện thông qua các kênh phản hồi dễ tiếp cận, như phiếu khảo sát hoặc nền tảng trực tuyến, để họ cảm thấy được tham gia vào quá trình phát triển (Auh et al., 2007). 3. Tạo cơ hội cho khách hàng giúp đỡ lẫn nhau, chẳng hạn bằng cách tổ chức không gian cộng đồng trong cửa hàng, điều này có thể nâng cao trải nghiệm và thúc đẩy giới thiệu (Groth, 2005). 4. Tận dụng đặc điểm thị trường Việt Nam bằng cách nhắm đến tiêu dùng gia đình và sử dụng chiến dịch tiếp thị dựa trên cộng đồng, như giảm giá cho nhóm hoặc sự kiện gia đình, để khuyến khích lan truyền tích cực (Kantarworldpanel, 2023). Những hành động này không chỉ cải thiện lòng trung thành mà còn gia tăng giá trị kinh doanh, phù hợp với bối cảnh cạnh tranh hiện nay.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or academic paper, specifically page 22. The text is in Vietnamese and discusses various statistical and machine learning concepts. The page number is visible at the bottom, indicating it is part of a larger document. The content is organized into sections, with headings and subheadings, suggesting it is part of a larger study or research paper.

### Key Points from the Text:
1. **Random Forest and XGBoost**:
   - The text mentions Random Forest and XGBoost, two popular machine learning algorithms.
   - It compares their performance in terms of accuracy, RMSE, MAE, and R-squared values.
   - The authors highlight the strengths and weaknesses of each algorithm, suggesting that Random Forest is better suited for tasks requiring high accuracy and low variance, while XGBoost is better for tasks requiring high speed and scalability.

2. **MLP (Multilayer Perceptron)**:
   - The text discusses MLP, another type of neural network.
   - It mentions that MLP has a higher RMSE and R-squared value compared to Random Forest and XGBoost.
   - The authors suggest that MLP is more suitable for tasks requiring high accuracy and high precision.

3. **Ensemble Learning**:
   - The text mentions ensemble learning, which combines multiple models to improve overall performance.
   - It discusses Random Forest and XGBoost as examples of ensemble learning.
   - The authors suggest that ensemble learning can improve the robustness and generalization of machine learning models.

4. **Machine Learning Applications**:
   - The text mentions various applications of machine learning, including financial forecasting, image recognition, and natural language processing.
   - It highlights the importance of machine learning in modern industries and suggests that it is a rapidly evolving field with many applications.

### Conclusion:
This page from the book or academic paper provides a detailed comparison of Random Forest, XGBoost, and MLP, along with an overview of ensemble learning and its applications. The text is technical and focused on machine learning, making it a valuable resource for anyone interested in the field.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a Vietnamese academic or professional publication. The page number is 22, as indicated at the bottom right corner. The document appears to be a research paper or a technical report, given the formal layout and structured content.

The page is divided into two main sections, each containing a significant amount of text. The left section is titled "Bảng 3 trình bày kết quả dự báo ROE," which translates to "Table 3 presenting the results of ROE prediction." The right section is titled "5. Kết luận," which translates to "5. Conclusion."

The content of the page is organized into paragraphs, each containing detailed information and analysis. The text is written in Vietnamese, and the formatting includes headings, subheadings, and bullet points to organize the information clearly.

Here is a detailed breakdown of the content:

### Table 3: Presenting the Results of ROE Prediction
- **Introduction**: Discusses the importance of ROE (Return on Equity) in financial analysis.
- **Methodology**: Describes the methods used to predict ROE, including Random Forest, XGBoost, and MLP (Multi-Layer Perceptron).
- **Results**: Compares the performance of these models using metrics such as RMSE (Root Mean Squared Error), MAE (Mean Absolute Error), and R-squared (R²).
- **Conclusion**: Summarizes the findings and discusses the implications of the results.

### 5. Kết luận
- **Introduction**: Discusses the importance of AI in financial analysis and the role of machine learning models in predicting ROE.
- **Methods**: Describes the use of Random Forest, XGBoost, and MLP models for ROE prediction.
- **Results**: Compares the performance of these models using metrics such as RMSE, MAE, and R-squared.
- **Conclusion**: Discusses the effectiveness of the models in predicting ROE and their potential applications in financial decision-making.

### Table 3: Presenting the Results of ROE Prediction
- **Introduction**: Discusses the importance of ROE in financial analysis.
- **Methodology**: Describes the methods used to predict ROE, including Random Forest, XGBoost, and MLP.
- **Results**: Compares the performance of these models using metrics such as RMSE (Root Mean Squared Error), MAE (Mean Absolute Error), and R-squared (R²).
- **Conclusion**: Summarizes the findings and discusses the implications of the results.

### 5. Kết luận
- **Introduction**: Discusses the importance of AI in financial analysis and the role of machine learning models in predicting ROE.
- **Methods**: Describes the use of Random Forest, XGBoost, and MLP models for ROE prediction.
- **Results**: Compares the performance of these models using metrics such as RMSE, MAE, and R-squared.
- **Conclusion**: Discusses the effectiveness of the models in predicting ROE and their potential applications in financial decision-making.

The page is well-organized, with clear headings and subheadings to guide the reader through the content. The text is formatted in a way that is typical for academic or professional publications, with a focus on providing detailed information and analysis.


Page 10 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a bar chart from the "Vietnam Investment Outlook 2025" report by Shinhan Securities. The chart provides a detailed breakdown of the growth and distribution of various types of businesses in Vietnam from 2021 to 2025F (Future).

### Key Points:
1. **Title and Subtitle:**
   - The title is "2. Thị trường ngành bán lẻ Việt Nam," which translates to "2. The retail market in Vietnam."

2. **X-Axis:**
   - The x-axis represents the years from 2021 to 2025F.
   - The years are labeled as 2021, 2022, 2023, 9T2024, and 2025F.

3. **Y-Axis:**
   - The y-axis represents the percentage distribution of various types of businesses.
   - The percentage ranges from 0% to 100%.

4. **Bars:**
   - Each bar represents a different type of business.
   - The bars are color-coded to differentiate between different types of businesses:
     - Blue: Online
     - Orange: Chợ (Traditional market)
     - Brown: Chợ online (Online market)
     - Green: Chợ điện tử (E-commerce)
     - Grey: Các mô hình kinh doanh khác (Other types of businesses)

5. **Data Points:**
   - The chart shows the percentage distribution of each type of business for each year.
   - For example, in 2021, the online business is 12%, the traditional market is 33%, the online market is 14%, the e-commerce is 14%, and the other types of businesses are 12%.

6. **Legend:**
   - The legend on the right side of the chart explains the color coding of the bars.
   - The legend includes the following categories:
     - Khác (Other)
     - Chợ (Traditional market)
     - Chợ online (Online market)
     - Chợ điện tử (E-commerce)
     - Các mô hình kinh doanh khác (Other types of businesses)

### Analysis:
- **Online Business Growth:**
  - The online business has seen a significant increase from 12% in 2021 to 65% in 2025F.
  - This growth is likely due to the increasing adoption of digital platforms and the rise of e-commerce in Vietnam.

- **Traditional Market Growth:**
  - The traditional market has shown a steady increase from 33% in 2021 to 19% in 2025F.
  - This could be attributed to the growing demand for traditional marketplaces and the increasing availability of physical stores.

- **E-commerce Growth:**
  - The e-commerce business has seen a significant increase from 14% in 2021 to 58% in 2025F.
  - This growth is likely due to the increasing popularity of online shopping and the availability of a wide range of products and services.

- **Other Types of Businesses:**
  - The other types of businesses have shown a moderate increase from 12% in 2021 to 15% in 2025F.
  - This could be due to the diversification of business models and the increasing availability of new types of businesses in Vietnam.

### Conclusion:
The chart provides a clear and concise overview of the growth and distribution of various types of businesses in Vietnam from 2021 to 2025F. The online business has seen the most significant growth, while the traditional market has shown a steady increase. The e-commerce business has also seen significant growth, and the other types of businesses have shown a moderate increase. This information can be useful for businesses looking to expand their operations in Vietnam or for investors interested in the retail market in Vietnam.
- Text Content: [IMAGE ANALYSIS]
The image is a bar chart titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The chart provides data on the distribution of goods sold by various categories of retailers in Vietnam from 2021 to 2025. The data is presented in a stacked bar chart, with each bar representing a different category of retailers.

### Chart Layout:
- **Title**: " Thị trường ngành bán lẻ Việt Nam" (Vietnam Retail Market)
- **Subtitle**: "Tỷ trọng dòng gốp giá trị của các kênh bán lẻ theo khu vực (%)"
- **X-Axis**: Represents the years from 2021 to 2025F (Future).
- **Y-Axis**: Represents the percentage distribution of goods sold by different categories of retailers.
- **Bars**: Each bar represents a different category of retailers and their respective percentage distribution.

### Data Breakdown:
- **2021**:
  - **Online**: 33%
  - **Chợ**: 12%
  - **Cửa hàng trực tuyến**: 14%
  - **Cửa hàng trực tuyến hóa lớn**: 15%
  - **Cửa hàng trực tuyến hóa nhỏ**: 14%
  - **Cửa hàng mini**: 6%
  - **Cửa hàng + Đại siêu thị**: 4%
  - **Cửa hàng + Đại siêu thị + Chợ**: 11%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng trực tuyến hóa lớn**: 10%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + C


[System] You are Project A, an expert Retail Consultant.

[User] Làm chủ một cửa hàng bán lẻ ở Việt Nam, tôi nên lập kế hoạch kinh doanh như thế nào cho năm 2025 dựa trên xu hướng ngành?

[Assistant]
<think>First, extract key data from the source document: Vietnamese retail revenue grew 9.0% YoY in 2024 and is expected to grow 9-10% YoY in 2025 due to positive economic growth, improved income, high urbanization, and growth in new retail sectors. The global retail market shows stable growth but with challenges like high interest rates and reduced spending on non-essentials. For a Vietnamese store owner, this indicates opportunities to capitalize on domestic growth by targeting urban areas, diversifying into emerging retail segments, and aligning with economic improvements. Recommendations should focus on actionable strategies such as product expansion, customer targeting, and leveraging new trends, while considering the mentioned representative stocks for potential investment insights.</think>
Dựa trên báo cáo, ngành bán lẻ Việt Nam dự kiến tăng trưởng 9-10% năm 2025 nhờ kinh tế tích cực, thu nhập cải thiện, và đô thị hóa cao. Để lập kế hoạch hiệu quả, bạn nên: 1) Mở rộng sản phẩm hoặc dịch vụ phù hợp với thu nhập tăng của khách hàng, đặc biệt ở các thành phố lớn; 2) Tập trung vào các ngành hàng mới đang phát triển, như bán lẻ trực tuyến hoặc sản phẩm cao cấp; 3) Theo dõi cổ phiếu tiêu biểu (MWG, FRT, DGW) để tham khảo xu hướng thị trường. Lưu ý rằng toàn cầu có thể chậm lại do lãi suất cao, nên ưu tiên chi tiêu thiết yếu và quản lý rủi ro.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is an infographic that provides a comprehensive overview of Vietnam's economy and its growth compared to APAC and South East Asia. The infographic is divided into two main sections: a line graph and a pie chart.

### Line Graph
The line graph on the left side of the image shows the real GDP growth of Vietnam, APAC, and South East Asia from 2020 to 2025. The graph is color-coded to differentiate between the three regions:
- **Vietnam**: Green
- **APAC**: Blue
- **South East Asia**: Brown

The line graphs for Vietnam and APAC show a similar trend, with both experiencing a decline in GDP growth in 2020 and 2021. However, Vietnam's GDP growth starts to recover in 2022 and continues to grow steadily, while APAC's GDP growth remains relatively flat. South East Asia's GDP growth shows a slight increase in 2022 but then decreases again.

### Pie Chart
The pie chart on the right side of the image provides a detailed breakdown of the GDP growth by sectors for Vietnam and APAC for the years 2023 and 2024. The sectors are:
- **Agriculture, Forestry, and Fishery**: Green
- **Industrial and Construction**: Blue
- **Services**: Pink

The pie chart shows that Vietnam's GDP growth is primarily driven by services, with a significant contribution from the services sector. APAC's GDP growth is more balanced, with contributions from both services and industrial and construction sectors. South East Asia's GDP growth is relatively low, with a smaller contribution from services.

### Sustainable & Golden Population
The infographic includes data on the total population, balance gender, and the Golden Ratio for Vietnam. The total population is projected to be 101 million by 2024, making Vietnam the 3rd largest population in Southeast Asia. The balance gender ratio is 99.2 male per 100 female, which is higher than the average for Southeast Asia. The Golden Ratio, which is the ratio of males to females, is 99.2 male per 100 female, indicating a higher male population.

### Top 5 Investors in 2024
The infographic also includes data on the top 5 investors in Vietnam for the year 2024. The data shows that Singapore is the top investor, followed by South Korea, Japan, and China. The investment capital is represented by the number of investment rounds, with each round represented by a bar.

### Conclusion
The infographic provides a clear and concise overview of Vietnam's economic growth and its comparative performance with APAC and South East Asia. It highlights the country's strong growth in services and its projected future growth as the 2nd largest economy in Southeast Asia. The data on the Golden Ratio and the balance gender ratio also contribute to a better understanding of Vietnam's demographic and economic characteristics.
- Text Content: [IMAGE ANALYSIS]
The image is an infographic that provides a detailed analysis of Vietnam's economy and its growth compared to other regions in the APAC (Asia-Pacific) and South East Asia. The infographic is divided into two main sections: a graph and a pie chart.

### Graph Section:
The graph shows the real GDP growth of Vietnam, APAC, and South East Asia from 2020 to 2025. The graph is divided into three lines representing Vietnam, APAC, and South East Asia. The lines show a general upward trend for Vietnam and a downward trend for APAC and South East Asia. The graph includes the following data points:
- 2020: -3.5% for Vietnam, -0.8% for APAC, and 4.1% for South East Asia.
- 2021: 2.6% for Vietnam, 2.9% for APAC, and 5.8% for South East Asia.
- 2022: 4.3% for Vietnam, 5.1% for APAC, and 5.8% for South East Asia.
- 2023: 7.2% for Vietnam, 8.5% for APAC, and 5.1% for South East Asia.
- 2024: 7.1% for Vietnam, 4.8% for APAC, and 4.5% for South East Asia.
- 2025: 5.2% for Vietnam, 3.9% for APAC, and 3.9% for South East Asia.

### Pie Chart Section:
The pie chart is titled "Fueled by Servcies and Industrial & Construction." It shows the percentage contribution to the 2024 GDP by sectors:
- Agriculture, Forestry, and Fishery: 38%
- Industrial & Construction: 42%
- Services: 12%

### Sustainable & Golden Population Section:
The section provides data on the total population, balance gender, and Golden Ratio. The data includes:
- Total Pop: 101 million
- Balance gender: 99.2 male per 100 female
- Golden Ratio: 99.2 male per 100 female

### Top 5 Investors in 2024 Section:
The section lists the top 5 investors in 2024:
- #1: Singapore
- #2: South Korea
- #3: Japan
- #4: China
- #5: Vietnam

### Summary:
The infographic provides a comprehensive overview of Vietnam's economic growth and its contribution to the APAC and South East Asia regions. It highlights the positive trends in Vietnam's economy, particularly in the services and industrial sectors, and the demographic trends. The data is sourced from the IMF and World Economic Leauge Table 2024.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a detailed infographic from SHS Research, focusing on the economic and market trends in Southeast Asia. The infographic is divided into several sections, each providing specific data and insights.

### Top Section: Total Market Size
- **Title:** Tổng quan ngành bán lẻ (Total Market Size)
- **Description:** The infographic highlights the total market size for retail in Southeast Asia, with a focus on the impact of various factors such as population growth, economic conditions, and technological advancements.
- **Data Points:**
  - **2022:** $134.0 billion
  - **2023e (Estimated):** $142.7 billion
  - **2024e (Estimated):** $154.0 billion
  - **2025f (Forecast):** $172.0 billion

### Middle Section: Share of Retail Sales by Sector
- **Title:** Cổ cảo chi tiêu dùng của hộ gia đình (%)
- **Description:** This section provides a breakdown of the share of retail sales by sector, including household consumption, food and beverages, and other categories.
- **Data Points:**
  - **2022:** 21.2%
  - **2023e (Estimated):** 15.0%
  - **2024e (Estimated):** 12.6%
  - **2025f (Forecast):** 12.2%

### Bottom Section: Share of Retail Sales by Country
- **Title:** Tỷ trọng chi tiêu dùng trong tổng chi tiêu dân gian tại các nước Châu Á (%)
- **Description:** This section provides a breakdown of the share of retail sales by country, including China, Indonesia, Japan, Malaysia, Philippines, Singapore, Thailand, and Vietnam.
- **Data Points:**
  - **China:** 6.5%
  - **Indonesia:** 5.2%
  - **Japan:** 3.0%
  - **Malaysia:** 2.6%
  - **Philippines:** 2.1%
  - **Singapore:** 1.8%
  - **Thailand:** 1.8%
  - **Vietnam:** 1.8%

### Footer Section: Source Information
- **Title:** SHS Research | Báo cáo ngành bán lẻ (SHS Research | Retail Industry Report)
- **Description:** The infographic is sourced from SHS Research, a reputable market research firm, and is part of their Retail Industry Report.

### Analysis:
- **Total Market Size:** The total market size for retail in Southeast Asia is projected to reach $172.0 billion by 2025, indicating a significant growth potential in the region.
- **Share of Retail Sales by Sector:** Household consumption is the largest segment, accounting for 21.2% of total retail sales. This highlights the importance of consumer behavior and household spending in the region.
- **Share of Retail Sales by Country:** China leads the way with a 6.5% share, followed by Indonesia with 5.2%. This indicates that China and Indonesia have a significant influence on the retail market in the region.
- **Technological Advancements:** The data suggests that technological advancements are driving consumer behavior and spending patterns, with a focus on e-commerce and digital retail.

Overall, this infographic provides a comprehensive overview of the retail market in Southeast Asia, highlighting key trends and insights that can inform business strategies and market analysis.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a report titled "TỔNG QUAN NGÀNH BÁN LẺ" (Total Sales Sector). The report is from SHS Research, and it is part of a series of charts and graphs. The layout is divided into several sections, each containing different types of data and visualizations.

### Top Section:
- **Title**: "TỔNG QUAN NGÀNH BÁN LẺ"
- **Subtitle**: "SHS"
- **Graph**: This section contains a bar chart showing the total sales of various sectors in 2022 and projections for 2023 and 2024. The sectors are listed on the x-axis and the sales figures on the y-axis. The bars are color-coded, with blue for "Hàng hàng tiêu dùng" (Consumer goods) and purple for "Hàng hàng dịch vụ" (Service goods).

### Middle Section:
- **Title**: "CÔ CÁU CHI TIẾU DUNG CỦA HỘ GIA ĐỊNH (%)"
- **Subtitle**: "SHS"
- **Graph**: This section contains a bar chart showing the distribution of the total sales by different categories of goods. The categories are listed on the x-axis and the sales figures on the y-axis. The bars are color-coded, with blue for "Thực phẩm, đồ uống không còn" (Food, non-food products) and purple for "Nhà, tiện ích" (Houses, convenience stores).

### Bottom Section:
- **Title**: "TỔNG CHI TIẾU CHI TIẾU DUNG TẠI CÁC NƯỚC CHÂU Á (%)"
- **Subtitle**: "SHS"
- **Graph**: This section contains a bar chart showing the distribution of total sales by different regions in 2022 and projections for 2023 and 2024. The regions are listed on the x-axis and the sales figures on the y-axis. The bars are color-coded, with blue for "Trung Quốc" (China), orange for "Indonesia", red for "Thái Lan", yellow for "Singapore", green for "Philippines", and purple for "Thái Bình". The bars are labeled with the year of the data.

### Additional Information:
- **Source**: The report is from SHS Research.
- **Date**: The page number is 5.

### Analysis:
The report provides a comprehensive overview of the total sales and distribution of goods across different sectors and regions. The data is presented in a clear and organized manner, making it easy to understand the trends and patterns in the sales figures. The use of color-coding helps in distinguishing between different categories and regions, which is particularly useful for visual analysis. The data is sourced from SHS Research, a reputable company in the field of market research and analysis.


Page 2 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a magazine or book, specifically page 89. The page is titled "Kinh Tế, Tài Chính Quốc Tế" (Economy, International Finance), which suggests it is related to economic and financial topics. The page number is 262, indicating it is part of a larger publication.

The content of the page is divided into two main sections, each with a heading and a paragraph of text. The first section is titled "Xu hướng ứng dụng công nghệ trong chuỗi cung ứng bán lẻ" (The Trend of Applying Technology in Retail Supply Chain), and the second section is titled "Ứng dụng công nghệ trong chuỗi cung ứng bán lẻ của Walmart" (Applications of Technology in Walmart's Supply Chain).

The first paragraph in the first section discusses the trend of applying technology in retail supply chains, mentioning the use of big data, AI, blockchain, internet of things (IoT), and robotics in various industries. It also mentions the importance of supply chain management and the role of technology in enhancing efficiency and reducing costs.

The second paragraph in the first section discusses the applications of technology in Walmart's supply chain. It mentions that Walmart has been using technology to improve efficiency, reduce costs, and enhance customer experience. The paragraph also highlights the use of automation and robotics in Walmart's supply chain, such as automated storage and retrieval systems (ASRS) and automated guided vehicles (AGVs).

The second section of the page discusses the trend of applying technology in Walmart's supply chain. It mentions that Walmart has been using technology to improve efficiency and reduce costs, and it highlights the use of big data, AI, blockchain, IoT, and robotics in Walmart's supply chain. The paragraph also mentions the importance of supply chain management and the role of technology in enhancing efficiency and reducing costs.

Overall, the page provides an overview of the current trends and applications of technology in retail supply chains, with a focus on Walmart's experience and the role of technology in enhancing efficiency and reducing costs.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a magazine or book, specifically page 89. The page is divided into two columns, each containing text in Vietnamese. The layout is typical for printed materials, with a clear division between the left and right columns. The text is formatted in a standard paragraph style, with justified alignment and justified spacing between lines. The font appears to be a standard typeface, possibly Times New Roman or a similar serif font. The page number "89" is prominently displayed at the bottom right corner, indicating the page number. The overall layout is clean and organized, making it easy to read.


[System] You are Project A, an expert Retail Consultant.

[User] Làm thế nào tôi có thể sử dụng AI/ML để dự báo lợi nhuận và hiệu quả tài chính cho cửa hàng bán lẻ của mình tại Việt Nam?

[Assistant]
<think>Dựa trên tài liệu nguồn, tôi sẽ giải quyết truy vấn này bằng cách: 1) Xác định khoảng trống nghiên cứu về áp dụng AI/ML trong dự báo ROA và ROE cho doanh nghiệp bán lẻ tại Việt Nam, như được đề cập trong tài liệu. 2) Liệt kê các yếu tố ảnh hưởng đến ROA và ROE từ tài liệu: yếu tố nội tại (như quy mô tài sản, khả năng thanh khoản, đòn bẩy tài chính, vòng quay tài sản) và yếu tố bên ngoài (như lạm phát, tỷ giá, giá vàng, giá dầu). 3) Nhắc đến khả năng của mô hình học máy như XGBoost trong việc nhận diện quan hệ phi tuyến và cải thiện độ chính xác dự báo so với phương pháp truyền thống. 4) Đề xuất các bước thực tiễn: thu thập dữ liệu từ báo cáo tài chính của cửa hàng và nguồn dữ liệu kinh tế vĩ mô, sau đó áp dụng mô hình AI/ML để phân tích và dự báo. 5) Kết luận bằng cách khuyến nghị chủ cửa hàng nên bắt đầu với việc thu thập dữ liệu và cân nhắc sử dụng công cụ hoặc tư vấn chuyên gia.</think>
Dựa trên nghiên cứu hiện có, bạn có thể áp dụng AI/ML để dự báo hiệu quả tài chính cho cửa hàng bán lẻ bằng cách: đầu tiên, thu thập dữ liệu nội bộ từ báo cáo tài chính của cửa hàng, bao gồm các chỉ số như tài sản, thanh khoản, và đòn bẩy. Đồng thời, theo dõi các yếu tố kinh tế vĩ mô như lạm phát, tỷ giá, và giá cả hàng hóa. Tiếp theo, sử dụng mô hình học máy như XGBoost, có khả năng xử lý quan hệ phi tuyến trong dữ liệu, để phân tích và dự báo ROA và ROE. Bạn có thể bắt đầu bằng cách tham khảo các công cụ AI/ML có sẵn hoặc hợp tác với chuyên gia để triển khai, nhằm hỗ trợ ra quyết định chính xác hơn trong bối cảnh kinh tế biến động tại Việt Nam.