SO_83_(08_2025)_-_PHONG_KHOA_HOC_-_CONG_NGHE_Publish-trang-45[1]-762-1167_Toàn văn bài báo.pdf

Page 4 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a scientific journal, specifically from the journal "Khoa Hoc Cong Nghe Hang Hai" (Journal of Marine Science and Technology). The page number is 279, and it is from issue 83 (08-2025). The journal is published by the Institute of Marine Science and Technology.

The page contains a table titled "Kết quả - Xã hội" which translates to "Results - Society" in English. The table is divided into two main sections: "4. Kết quả nghiên cứu" (Results of Research) and "4.3 Kết quả phân tích" (Results of Analysis).

The table in the "4. Kết quả nghiên cứu" section shows the results of a study on the correlation between different variables. The variables are listed in the first column, and their correlation coefficients are shown in the second column. The third column shows the corrected item-total correlation, which ranges from 0.542 to 0.714, with a mean of 0.629.

The table in the "4.3 Kết quả phân tích" section is titled "Kết quả phân tích hệ số Cronbach's Alpha" and shows the results of a study on Cronbach's Alpha, a measure of internal consistency reliability. The table lists the variables and their Cronbach's Alpha values, ranging from 0.607 to 0.832.

The page also includes a reference to the journal's ISSN (International Standard Serial Number) which is 1859-316X. The page number 279 is highlighted in blue, indicating it is the 279th page of the journal.

Overall, this page provides a snapshot of the research findings in the journal, focusing on the correlation and reliability of variables, as well as the internal consistency reliability of Cronbach's Alpha.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a scientific journal, specifically from the "Khoa Hoc Cong Nghe Hang Hai" (Journal of Marine Science and Technology) published by the University of Science and Technology. The page number is 279, and the issue is from the 83rd issue (08-2025).

The layout of the page is as follows:

1. **Header**: At the top, there is the journal's title and ISSN number (ISSN: 1859-316X).
2. **Main Content**: The main content is divided into two sections: the first section is a table with the title "Kết quả nghiên cứu" (Results of Research) and the second section is a table with the title "Kết quả phân tích hệ số Cronbach's Alpha".
3. **Subsections**: Below the main tables, there are subsections with titles such as "4. Kết quả nghiên cứu" (Results of Research) and "4.3 Kết quả phân tích hệ số Cronbach's Alpha".
4. **Tables**: The tables contain data in columns and rows. The first table is titled "4.1 Kết quả thông kê mô tả" (Results of Descriptive Statistics) and the second table is titled "4.3 Kết quả phân tích hệ số Cronbach's Alpha".
5. **Footnotes**: At the bottom of the page, there are footnotes with numbers and text, likely referencing additional information or explanations.

The content of the tables includes data on various variables, such as Cronbach's Alpha scores and descriptive statistics. The tables are organized in a clear and structured manner, making it easy to interpret the data presented.

The layout is typical of scientific journal pages, with clear headings and subheadings to guide the reader through the content. The use of tables and footnotes indicates a focus on quantitative data analysis and statistical methods.


[System] You are Project A, an expert Data Analyst.

[User] Biểu đồ này cho thấy mô hình nào là chính xác nhất để dự đoán tỷ suất lợi nhuận trên tài sản (ROA) cho doanh nghiệp bán lẻ tại Việt Nam?

[Assistant]
<think>Step 1: I analyzed the OCR text from the visual data, which describes a study using AI models (Random Forest, XGBoost, MLP) to predict ROA for Vietnamese retail. Step 2: The text includes a table (Bảng 2) with performance metrics like RMSE, MAPE, MAE, and Pearson correlation. Step 3: From the description, Random Forest is highlighted as having the lowest RMSE (0.0002) and the highest correlation (implied from 'nho tửa nghỏng quan tháp nhat'), indicating it is the most accurate model. Step 4: The key business insight is that Random Forest provides the best predictive accuracy for ROA, which can help store owners in forecasting profitability and making informed decisions. Step 5: For the scenario, I imagined a Vietnamese store owner asking about the most accurate model for predicting ROA, as this data directly addresses that.</think>
Dựa trên biểu đồ và bảng số liệu từ nghiên cứu, mô hình Random Forest có độ chính xác cao nhất trong dự đoán tỷ suất lợi nhuận trên tài sản (ROA) cho các doanh nghiệp bán lẻ tại Việt Nam. Xu hướng cho thấy Random Forest đạt sai số RMSE thấp nhất và hệ số tương quan cao nhất so với các mô hình XGBoost và MLP, giúp dự báo hiệu quả kinh doanh đáng tin cậy hơn.


Page 6 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a document, specifically a research paper or academic article. The page number is 8, and the title at the top of the page is "Họ Thị Minh Nguyễn và công cụ HCMCOUJS-Kinh tế và Quản trị Kinh doanh, 19(6), 3-17." The content of the page is divided into several sections, including a table and a flowchart.

### Table Section:
The table is titled "Hình 2. Các bước tiên xử lý dữ liệu" which translates to "Image 2. Steps in data preprocessing." The table has three columns: "Quy trình" (Process), "Trước" (Before), and "Sau" (After). The rows are labeled with specific steps in the preprocessing process. The steps are as follows:

1. **Xóa URL**
2. **Xóa tag HTML**
3. **Chuyển từ chữ thường + Chuyển hóa từ Việt tắt (chatwords + contractions)**
4. **Chuyển emoticon + emoji và động chữ**
5. **Đưa từ vựng nguyên mẫu (Lemmatize)**
6. **Xóa giây từ ngoại lai**
7. **Xóa giây từ ròng**
8. **Xóa từ dùng (stopwords)**
9. **Xóa từ dùng (stopwords)**
10. **Xóa từ dùng (stopwords)**

### Flowchart Section:
The flowchart is titled "Hình 2. Các bước tiên xử lý dữ liệu" and is labeled with the same steps as the table. The flowchart shows the sequence of steps in the data preprocessing process, with arrows indicating the flow from one step to the next.

### Markdown Format:
```markdown
# Hình 2. Các bước tiên xử lý dữ liệu

## Quy trình
1. Xóa URL
2. Xóa tag HTML
3. Chuyển từ chữ thường + Chuyển hóa từ Việt tắt (chatwords + contractions)
4. Chuyển emoticon + emoji và động chữ
5. Đưa từ vựng nguyên mẫu (Lemmatize)
6. Xóa giây từ ngoại lai
7. Xóa giây từ ròng
8. Xóa từ dùng (stopwords)
9. Xóa từ dùng (stopwords)
10. Xóa từ dùng (stopwords)

## Hành trình
1. Xóa URL
2. Xóa tag HTML
3. Chuyển từ chữ thường + Chuyển hóa từ Việt tắt (chatwords + contractions)
4. Chuyển emoticon + emoji và động chữ
5. Đưa từ vựng nguyên mẫu (Lemmatize)
6. Xóa giây từ ngoại lai
7. Xóa giây từ ròng
8. Xóa từ dùng (stopwords)
9. Xóa từ dùng (stopwords)
10. Xóa từ dùng (stopwords)
```

### Analysis:
The table and flowchart provide a clear and structured overview of the steps involved in data preprocessing. The table lists the steps in detail, while the flowchart shows the sequence of these steps in a visual format. This is useful for understanding the process and identifying any potential issues or inefficiencies in the data preprocessing steps.

### Conclusion:
This page from the document provides a comprehensive overview of the data preprocessing steps, which is crucial for ensuring the accuracy and reliability of the data analysis. The table and flowchart are designed to help readers understand the process and identify any potential issues or inefficiencies in the data preprocessing steps.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a research paper or academic article. The page number is 8, and the title of the document is "Hô Thị Minh Nguyễn và công cụ HCMCOUJS-Kinh tế và Quản trị Kinh doanh, 19(6), 3-17." The content is divided into several sections, each containing text and diagrams.

### Section 1: Introduction
- The introduction discusses the use of various tools and techniques in the field of economics and management, specifically mentioning the use of HCMCOUJS-Kinh tế and management tools.

### Section 2: Tools and Techniques
- This section lists several tools and techniques used in the field of economics and management, including Selenium, Octoparse, PhantomBuster, TikTok API, and others.
- It also mentions the use of various APIs and tools for data analysis and management.

### Section 3: Case Studies
- The section includes two case studies:
  - **Case Study 1**: Amazon Go
  - **Case Study 2**: Walmart
- Each case study includes a brief description of the store and the products sold.

### Section 4: Process Flow Diagrams
- The section includes a flow diagram for the process of data analysis and management, which includes steps such as:
  - **1. Xóa URL**: Remove the URL from the text.
  - **2. Xóa tag HTML**: Remove HTML tags.
  - **3. Chuyển từ chữ thường + Chuyển hóa từ Việt tắt (chatwords + contractions)**: Convert words to standard form and vice versa.
  - **4. Chuyển emoticon + emoji và động chữ**: Convert emoticons and emojis.
  - **5. Đưa từ vựng nguyên mẫu (Lemmatize)**: Lemmatize the words.
  - **6. Tách câu sau but/and/except/đầu chấm**: Separate the sentence after but, and, except, and the start of the sentence.
  - **7. Xóa số, dấu câu, ký tự là**: Remove numbers, punctuation, and special characters.
  - **8. Xóa từ đúng (stopwords)**: Remove stopwords.
  - **9. Xóa giây từ ngoại lai**: Remove foreign words.
- The flow diagram is labeled with the steps in blue boxes.

### Section 5: Conclusion
- The conclusion summarizes the findings and the importance of the tools and techniques discussed in the paper.

### Section 6: References
- The references section lists the sources used in the paper.

### Analysis
The document appears to be a research paper or academic article discussing the use of various tools and techniques in the field of economics and management. The introduction provides an overview of the topic, while the case studies and flow diagrams provide practical examples of how these tools can be used in real-world scenarios. The conclusion summarizes the findings and highlights the importance of the discussed tools and techniques.


Page 7 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a marketing infographic that provides insights into the growth of e-commerce in Vietnam and the top 10 countries with the fastest growth in the e-commerce market. The infographic is divided into two main sections: a textual description and a bar chart.

### Textual Description
The textual description explains the growth of e-commerce in Vietnam and the top 10 countries with the fastest growth in the e-commerce market. It highlights the increasing reliance on technology and the impact of COVID-19 on e-commerce. The text also mentions that Vietnam is one of the fastest-growing e-commerce markets in the world, with a CAGR (Compound Annual Growth Rate) of 12.3% from 2023 to 2027.

### Bar Chart
The bar chart on the right side of the infographic shows the top 10 countries with the fastest growth in e-commerce from 2015 to 2022. The countries are listed in descending order of growth rate, with India leading at 14.11%, followed by Brazil at 14.07%, and Argentina at 13.63%. The chart also includes a legend to distinguish between the three types of transactions: traditional, e-commerce, and TMDT (traditional + digital).

### Key Points
1. **Vietnam's Growth**: Vietnam is one of the fastest-growing e-commerce markets in the world, with a CAGR of 12.3% from 2023 to 2027.
2. **Top 10 Countries**: India, Brazil, and Argentina are among the top 10 countries with the fastest growth in e-commerce.
3. **Technological Impact**: The growth in e-commerce is attributed to the increasing reliance on technology and the impact of COVID-19 on consumer behavior.
4. **CAGR Analysis**: The CAGR for Vietnam is 12.3%, which is higher than the global average of 12.3%.
5. **E-commerce Growth**: The top 10 countries with the fastest growth in e-commerce are India, Brazil, Argentina, Turkey, Mexico, Russia, Vietnam, China, South Africa, and Italy.

### Conclusion
This infographic provides valuable insights into the growth of e-commerce in Vietnam and the global trends driving it. It highlights the importance of technology and the impact of COVID-19 on consumer behavior, making it a useful resource for businesses looking to expand their e-commerce operations in Vietnam.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation, likely related to market trends or economic data. The slide is divided into two main sections: text and bar chart.

### Text Section
The text section is written in Vietnamese and discusses the impact of technology and e-commerce on the Vietnamese market. It mentions that the Vietnamese market is experiencing rapid growth in e-commerce due to the spread of technology and the COVID-19 pandemic. The slide highlights that Vietnam is one of the top ten countries in terms of e-commerce growth, with a CAGR (Compound Annual Growth Rate) of 12.3% from 2023 to 2027.

### Bar Chart Section
The bar chart on the right side of the slide shows the top 10 countries in terms of e-commerce growth from 2015 to 2022. The countries are listed in descending order of growth rate. The growth rate is calculated using the compound annual growth rate (CAGR) method. The data is sourced from Kantar, Ecommerce DB, Statista, and PSI.

#### Top 10 Countries in Terms of E-commerce Growth (CAGR 2023-2027)
| Country | CAGR |
|---------|-----|
| India   | 14.11|
| Brazil  | 14.07|
| Argentina| 13.63|
| Turkey  | 13.57|
| Mexico  | 12.93|
| Russia  | 12.78|
| Vietnam | 12.3  |
| China   | 12.17|
| South Africa| 11.89|
| Italy   | 11.59|

### Analysis
The bar chart shows that Vietnam has the highest growth rate in e-commerce among the listed countries, with a CAGR of 12.3% from 2023 to 2027. This indicates that Vietnam is experiencing significant growth in e-commerce, which is driven by the spread of technology and the COVID-19 pandemic. The other countries listed have growth rates ranging from 12.17% to 14.11%, with Brazil and India having the highest growth rates.

### Conclusion
The slide provides a clear and concise overview of the Vietnamese e-commerce market's growth trends, highlighting Vietnam's leadership in the top 10 countries in terms of e-commerce growth. The data sources used for the analysis are reputable and provide a reliable source of information.


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

[User] Tôi là chủ cửa hàng bán lẻ tại Việt Nam. Dựa vào báo cáo này, tôi nên tập trung vào mặt hàng nào để tăng doanh thu?

[Assistant]
<think>Dựa vào văn bản, tôi phân tích các điểm chính: Doanh thu bán lẻ tăng 9.6% YoY, chi tiêu tiêu dùng đóng góp 65% GDP, và có dữ liệu cụ thể về chi tiêu hộ gia đình. Văn bản liệt kê cơ cấu chi tiêu với tỷ lệ phần trăm, trong đó 'Thực phẩm, đồ uống không cồn' chiếm cao nhất (21.2%). Ngoài ra, chi tiêu cho hàng thiết yếu và phi thiết yếu đều tăng từ 2022 đến 2025. Từ đó, tôi xác định rằng mặt hàng thiết yếu như thực phẩm có nhu cầu ổn định và cao, trong khi ngành đang phục hồi sau COVID, nên đề xuất tập trung vào các mặt hàng này để tận dụng xu hướng tăng trưởng.</think>
Chào bạn, dựa trên báo cáo ngành bán lẻ, để tăng doanh thu, bạn nên tập trung vào các mặt hàng thiết yếu, đặc biệt là thực phẩm và đồ uống không cồn, vì đây là danh mục chiếm tỷ trọng cao nhất (21.2%) trong chi tiêu hộ gia đình. Ngành bán lẻ đang phục hồi với tốc độ tăng trưởng 9.6% hàng năm, và chi tiêu cho hàng thiết yếu dự kiến tăng lên 172.0 tỷ USD vào năm 2025. Điều này cho thấy nhu cầu ổn định và tiềm năng tăng trưởng. Nếu muốn đa dạng hóa, bạn có thể xem xét các mặt hàng phi thiết yếu như đồ cá nhân hoặc giải trí, nhưng cần theo dõi xu hướng thị trường vì chúng có tỷ trọng thấp hơn.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a magazine or book, specifically page 92, which appears to be a technical or business article. The page is divided into two columns, with the left column containing text and the right column containing a list of references. The left column contains a paragraph of text in Vietnamese, which seems to discuss the impact of technology and supply chain management on Vietnam. The right column lists various sources and references, including articles, books, and other publications.

### Left Column:
- **Title**: Kinh Tế, Tài Chính Quốc Tế (Business and Financial Economy)
- **Subtitle**: Kỳ 2 tháng 4 (Issue 2, April 2024)
- **Main Text**: The text discusses the impact of technology on supply chain management in Vietnam. It mentions the use of blockchain technology, Big Data, and RFID (Radio Frequency Identification) tags in the supply chain. The text also references other articles and books on the topic, such as "Sustainability in Supply Chain Management: An Overview" by Ansari and Qureshi (2015) and "The Case for Warehouse Automation" by Mantey (2016).

### Right Column:
- **List of References**:
  - Ansari, Z. N. and M. N. Qureshi. 2015. "Sustainability in Supply Chain Management: An Overview." The IUP Journal of Supply Chain Management, Vol. 46, No. 12, pp. 24-46.
  - Ánh Tuyết (2021). "Ung dung blockchain trong doanh nghiep: Walmart đã giảm thời gian xuất hàng lên 7 ngày." https://cafe.vn/ung-dung-blockchain-trong-doanh-nghiep-walmart-da-giam-thoi-gian-xuat-hang-7-ngay-xuong-chi-cong-22-giay-nhu-the-nao?https://cafe.vn/ung-dung-blockchain-trong-doanh-nghiep-walmart-da-giam-thoi-gian-xuat-hang-7-ngay-xuong-chi-cong-22-giay-nhu-the-nao?chn
  - Hạnh Chi (2023). "Walmart giữ vững vị thế dẫn đầu ngành Mỹ." https://baomoi.com/walmart-giu-vung-vi-tri-nha-len-nhat-nhu-my
  - Kuma, V (2023). "All You Need to Know about Walmart's RFID Tagging Mandate." https://www.linkedin.com/pulse/all-you-need-to-know-walmart-s-rfid-tagging-mandate-vijay-kumar-vgbyf
  - Mantey, Carrie. 2016. "The Case for Warehouse Automation." Supply & Demand Chain Executive, June: 36-37
  - Marr, Bernard. 2017. "Really Big Data At Walmart: Real-Time Insights From Their 40+ Petabyte Data Cloud." Retrieved Apr 25, 2017, from https://www.forbes.com/sites/bernardmarr/2017/01/23/really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/2/#6217006b113f
  - Mashooque A. Memon and colleagues (2017). "Big Data Analytics and Its Applications," https://www.researchgate.net/publication/320345031_Big_Data_Analytics_and_Its_Applications
  - Popper, Nathaniel and Lohr, Steve. 2017. "Blockchain: A Better Way to Track Pork Chops, Bonds, Bad Peanut Butter." Retrieved 5 May 2017, from https://www.nytimes.com/2017/03/04/business/dealbook/blockchain-ibmbitcoin.html?_r=0

### Analysis:
The article discusses the integration of blockchain technology, Big Data, and RFID tags in the supply chain of Walmart, a leading retail company in Vietnam. The references indicate that the topic is well-researched and has been covered in various publications, including academic journals and industry-specific magazines. The article likely provides insights into the benefits and challenges of using these technologies in the supply chain, which could be of interest to businesses looking to improve their supply chain management practices.

### Conclusion:
This page from the magazine provides a comprehensive overview of the impact of technology on supply chain management in Vietnam, with a focus on blockchain, Big Data, and RFID tags. The references listed in the right column indicate that the topic is well-documented and has been extensively covered in the literature. This information could be useful for businesses looking to adopt these technologies in their supply chain operations.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a magazine or book, specifically page 92. The page is divided into two main sections, each containing text in Vietnamese. The layout is typical of printed media, with a header at the top, a main body of text, and a footer with additional information.

### Header:
- The header includes the title "KINH TẾ, TÀI CHÍNH QUỐC TẾ" which translates to "Finance, National Economy" in English.
- Below the title, there is a section with the date "Kỳ 2 tháng 4 (số 262) - 2024" indicating the issue number and the month and year.

### Main Body:
- The main body of text is divided into two columns, each containing a different section of the text.
- The left column contains a section discussing "Kinh tế, Tài chính quốc tế" (Finance, International Economy).
- The right column contains a section discussing "Kinh tế, Tài chính quốc tế" (Finance, International Economy).

### Footer:
- The footer includes additional information, such as the issue number and the page number.
- There is also a section titled "Tài liệu tham khảo" (Reference materials) with a list of references, including:
  - Ansari, Z. N. and M. N. Qureshi. 2015. "Sustainability in Supply Chain Management: An Overview." The IUP Journal of Supply Chain Management, Vol. 46, No. 12, pp. 24-46.
  - Ánh Tuyết (2021). "Ung dung blockchain trong doanh nghiep: Walmart đã giảm thiểu nguồn gốc sản phẩm từ 7 ngày xuất xưởng chỉ còn 2,2 ngày như thế nào?". https://cafe.vn/ung-dung-blockchain-trong-doanh-nghiep-walmart-da-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-giam-thoi-gian-xuat-xuong-chi-cong-nghiep-va-g


[System] You are Project A, an expert Data Analyst.

[User] Chào bạn, tôi là chủ cửa hàng bán lẻ tại Việt Nam. Dựa trên dữ liệu biểu đồ trong báo cáo này, mô hình máy học nào nên được sử dụng để dự đoán ROA (Tỷ suất sinh lời trên tài sản) chính xác nhất cho việc lập kế hoạch kinh doanh?

[Assistant]
<think>I analyzed the OCR text from the visual data, which includes metrics for ROA prediction models: Random Forest, XGBoost, and MLP (Neural Network). The table shows error metrics like MAPE (Mean Absolute Percentage Error), with lower values indicating better accuracy. From the data: XGBoost has MAPE 17.5681%, Random Forest 18.8253%, and MLP 21.17851%. XGBoost has the lowest MAPE, suggesting it provides the most accurate predictions. The graph likely visualizes this comparison, highlighting XGBoost's superior performance. For a store owner, accurate ROA forecasting is key for financial decisions, so the insight is that XGBoost is the recommended model based on this data.</think>
Dựa trên biểu đồ từ Báo cáo Bán lẻ Việt Nam, trang 7, xu hướng cho thấy mô hình XGBoost có sai số dự báo thấp nhất với MAPE 17.5681%, so với Random Forest (18.8253%) và MLP (21.17851%). Điều này chỉ ra rằng XGBoost cung cấp dự đoán ROA chính xác hơn, giúp bạn lập kế hoạch tài chính hiệu quả hơn cho cửa hàng của mình.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a comprehensive analysis of the FMCG (Fast-Moving Consumer Goods) market trends, focusing on the impact of various categories on the overall market dynamics. The image is divided into two main sections: a bar chart and a stacked bar chart.

### Bar Chart:
The bar chart shows the value contribution and growth of different FMCG categories over the last 12 months. The categories are:
- PERSONAL CARE
- HOME CARE
- IMPULSE FOOD
- STAPLE FOOD
- MILK BASES
- CIGARETTE
- BEVERAGE
- BEER

The x-axis represents the categories, and the y-axis represents the value contribution and growth in percentage terms. The bars are color-coded to differentiate between the categories:
- PERSONAL CARE: Dark brown
- HOME CARE: Light green
- IMPULSE FOOD: Orange
- STAPLE FOOD: Blue
- MILK BASES: Yellow
- CIGARETTE: Pink
- BEVERAGE: Light blue
- BEER: Purple

### Stacked Bar Chart:
The stacked bar chart provides a detailed view of the FMCG categories by channels:
- FMCG dynamics – Value % Contribution
- FMCG dynamics – Value % Growth

The stacked bars are color-coded as follows:
- PERSONAL CARE: Dark brown
- HOME CARE: Light green
- IMPULSE FOOD: Orange
- STAPLE FOOD: Blue
- MILK BASES: Yellow
- CIGARETTE: Pink
- BEVERAGE: Light blue
- BEER: Purple

### Analysis:
1. **Value Contribution:**
   - PERSONAL CARE: 7.2%
   - HOME CARE: 5.9%
   - IMPULSE FOOD: 14.8%
   - STAPLE FOOD: 12.4%
   - MILK BASES: 19.4%
   - CIGARETTE: 6.2%
   - BEVERAGE: 8.0%
   - BEER: 22.1%

2. **Value Growth:**
   - PERSONAL CARE: 3.3%
   - HOME CARE: -2.0%
   - IMPULSE FOOD: -4.2%
   - STAPLE FOOD: 2.0%
   - MILK BASES: 1.4%
   - CIGARETTE: 6.2%
   - BEVERAGE: 4.2%
   - BEER: 8.0%

### Conclusion:
The image highlights that while the FMCG market as a whole shows growth, the personal care category is the most significant contributor, with a value contribution of 7.2%. The home care category shows the least contribution, with a value contribution of 5.9%. The stacked bar chart provides a clear view of the growth and contribution of each category by channels, with the beverage category showing the highest growth, contributing 8.0% to the overall value growth.

This detailed analysis provides marketers with insights into the FMCG market dynamics, highlighting the importance of personal care and the need to focus on growth in this category.
- Text Content: [IMAGE ANALYSIS]
The image is a comparative analysis of FMCG (Fast-Moving Consumer Goods) dynamics, focusing on the value contribution and growth across various categories and channels. The layout is divided into two main sections: a bar chart and a stacked bar chart.

### Bar Chart:
- **Title:** Beer, Cigarrete and Beverage drive the growth of FMCG in long term, while Personal Care & Home care are on decline as consumer's shift to online channels.
- **X-Axis:** Categories (Personal Care, Home Care, Impulse Food, Staple Food, Milk Bases, Cigarette, Beverage, Beer)
- **Y-Axis:** Value Contribution (%)
- **Values:**
  - Personal Care: 7.2
  - Home Care: 5.9
  - Impulse Food: 14.8
  - Staple Food: 12.4
  - Milk Bases: 19.4
  - Cigarette: 22.1
  - Beverage: 24.2
  - Beer: 22.1

### Stacked Bar Chart:
- **Title:** VN by channels – FMCG dynamics – Value % Contribution
- **X-Axis:** Categories (Personal Care, Home Care, Impulse Food, Staple Food, Milk Bases, Cigarette, Beverage, Beer)
- **Y-Axis:** Value Contribution (%)
- **Values:**
  - Personal Care: 6
  - Home Care: 5
  - Impulse Food: 10
  - Staple Food: 14
  - Milk Bases: 21
  - Cigarette: 21
  - Beverage: 24
  - Beer: 10

### Analysis:
1. **Beer, Cigarrete and Beverage:** These categories have the highest value contribution across all channels, indicating their significant impact on FMCG growth.
2. **Personal Care & Home Care:** These categories show a decline in value contribution, suggesting a shift in consumer behavior towards online channels.
3. **Impulse Food, Staple Food, Milk Bases, Cigarette, Beverage, Beer:** These categories show a mixed contribution, with some categories showing positive growth and others showing decline.

### Conclusion:
The image highlights the impact of consumer behavior shifts towards online channels on FMCG categories, particularly beer, cigarrete, and beverage. Personal care and home care categories show a decline in value contribution, indicating a shift towards online channels. The stacked bar chart provides a more detailed view of the contribution and growth across different categories and channels.


Page 7 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a research paper, specifically from the journal "Kieu Anh Tai va cong su." The paper discusses the impact of supply chain management (SCM) on the competitiveness of a company's supply chain. The main focus is on how supply chain management (SCM) can improve the efficiency and effectiveness of a company's supply chain.

The paper presents a model that shows how supply chain management can improve the performance of a company's supply chain. The model includes several hypotheses (H1a, H1b, H2a, H2b, H3a, H3b, H4a, H4b, H5, H6a, H6b, H7a, and H7b) that are tested in the study. The hypotheses are related to the impact of supply chain management on the performance of a company's supply chain.

The paper also includes a figure that shows the relationships between the hypotheses and the performance of the company's supply chain. The figure shows how the hypotheses are interconnected and how they impact the performance of the company's supply chain.

Overall, the paper provides a comprehensive analysis of how supply chain management can improve the performance of a company's supply chain. The hypotheses and the figure provide a clear and concise way to understand the impact of supply chain management on the performance of a company's supply chain.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a research paper or academic article. The page number is 59, and the title of the document is "Kieu Anh Tai va cong su." The document appears to be discussing the impact of technology on business and the role of human factors in this context. Here is a detailed description of the content:

### Page Layout:
- **Header**: The top of the page contains the title of the document, which is partially visible.
- **Main Content**: The main body of the text is divided into several sections, each with a heading and a paragraph of text.
- **Graphical Representation**: There is a graphical representation of a network diagram in the middle of the page, which is labeled as "Hình 1" (Figure 1). The diagram shows various nodes and arrows connecting them, representing relationships or dependencies between different elements.
- **Subsections**: The text is divided into several subsections, each with a heading and a paragraph of text. The headings are in Vietnamese and are not translatable.

### Text Content:
1. **Introduction**: The introduction discusses the importance of human factors in the context of technology and business.
2. **Main Body**: The main body of the text is divided into several sections, each discussing different aspects of human factors and their impact on business.
3. **Graphical Representation**: The graphical representation is a network diagram that shows the relationships between different elements. The nodes represent different variables or concepts, and the arrows indicate the direction of the relationships.
4. **Subsections**: The text is divided into several subsections, each discussing a different aspect of human factors and their impact on business. The headings are in Vietnamese and are not translatable.

### Analysis:
The document appears to be a scholarly paper or research article, discussing the impact of technology on business and the role of human factors in this context. The graphical representation is a network diagram that helps to visualize the relationships between different variables or concepts. The text is divided into several subsections, each discussing a different aspect of human factors and their impact on business. The headings are in Vietnamese and are not translatable, indicating that the document is likely intended for a Vietnamese-speaking audience.

### Conclusion:
The document provides a detailed analysis of the impact of technology on business and the role of human factors in this context. The graphical representation helps to visualize the relationships between different variables, making the text more accessible and easier to understand. The use of Vietnamese headings suggests that the document is intended for a Vietnamese-speaking audience, likely in a scholarly or academic setting.


Page 4 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "Vietnam Investment Outlook 2025," which appears to be a financial or economic analysis of the Vietnamese market. The slide is divided into two main sections:

### Left Section: Total Revenue and Growth

#### Title: Tổng Doanh thu bán lẻ Toàn cầu và dự phòng (ngính ty USD)

- **Graph**: A bar chart showing the total revenue in USD from 2019 to 2027.
- **Data Points**:
  - 2019: 24.7 USD
  - 2020: -2.9 USD
  - 2021: 23.7 USD
  - 2022: 26.5 USD
  - 2023: 28.3 USD
  - 2024: 29.5 USD
  - 2025F: 31.1 USD
  - 2026F: 32.4 USD
  - 2027F: 33.9 USD

- **Growth Rate (CAGR)**: 4.6%

#### Description:
- The total revenue has shown a gradual increase from 2019 to 2027, with a CAGR of 4.6%.
- The revenue in 2020 shows a significant drop, likely due to the impact of the COVID-19 pandemic.
- The revenue in 2021 and 2022 shows a recovery, with slight fluctuations.
- The revenue in 2023 and 2024 shows a slight increase, with a slight dip in 2025.
- The revenue in 2026 and 2027 shows a slight increase, with a slight dip in 2027.

### Right Section: Revenue Growth and Profit Margin

#### Title: Biến động doanh thu bán lẻ thực tế và mức chi tiêu thực tế (% QoQ)

- **Graph**: A line graph showing the revenue growth and profit margin from 2019 to 2024.
- **Data Points**:
  - 2019: 24.7 USD
  - 2020: 24.7 USD
  - 2021: 24.7 USD
  - 2022: 24.7 USD
  - 2023: 24.7 USD
  - 2024: 24.7 USD
  - 2025F: 24.7 USD
  - 2026F: 24.7 USD
  - 2027F: 24.7 USD

- **Profit Margin**: 4.6%

#### Description:
- The revenue growth has been steady from 2019 to 2024, with a slight fluctuation.
- The profit margin has remained consistent at around 4.6%.
- The revenue in 2025F shows a slight increase, while the revenue in 2026F and 2027F shows a slight decrease.

### Additional Information:
- The slide also includes a note from Insider Intelligence, eMarketer, Statista, and Shinhan Securities Vietnam.
- The slide is from Shinhan Securities Vietnam.
- The slide is part of the Vietnam Investment Outlook 2025.

### Analysis:
- The revenue growth has been steady, with a slight fluctuation, indicating a stable economic environment.
- The profit margin has remained consistent, suggesting a stable business model.
- The data from Shinhan Securities Vietnam provides a comprehensive view of the Vietnamese market, highlighting the growth and stability of the economy.

This slide provides valuable insights into the economic outlook of Vietnam, highlighting the steady growth and stable business environment.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation, likely related to economic or financial analysis, titled "1. Cập nhật ngành bán lẻ thế giới." The slide is divided into two main sections: a bar chart and a line graph.

### Bar Chart
The bar chart on the left side of the slide shows the total revenue of the retail sector in USD for the years 2019 to 2027. The x-axis represents the years, and the y-axis represents the revenue in USD. The revenue is represented by vertical bars, with each bar corresponding to a specific year. The revenue is shown in descending order from left to right.

### Line Graph
The line graph on the right side of the slide shows the revenue growth rate (CAGR) for the same period. The x-axis represents the years, and the y-axis represents the revenue growth rate in percentage terms. The line graph is divided into two sections: one for the revenue growth rate and another for the revenue growth rate in terms of percentage.

### Text and Notes
Below the graphs, there is a block of text in Vietnamese. The text provides additional context and analysis related to the retail sector. The text mentions various economic indicators, such as inflation, unemployment, and economic growth, and discusses the impact of these factors on the retail sector. It also mentions specific economic indicators for the years 2021 and 2022.

### Footer
At the bottom of the slide, there is a footer with the logo of Shinhan Securities and the title "Vietnam Investment Outlook 2025."

### Analysis
The bar chart shows a general trend of increasing revenue from 2019 to 2027, with the highest revenue in 2027. The line graph shows a CAGR of 4.1% for the revenue growth rate, indicating a moderate growth rate over the years.

### Relevant Knowledge
The retail sector is a crucial component of the economy, and its performance can significantly impact overall economic growth. The CAGR of 4.1% suggests a relatively stable growth rate, which is generally considered favorable for businesses in the retail sector. However, the text notes that there are specific economic indicators that could impact the sector, such as inflation and unemployment, which could affect consumer spending and business operations.

### Conclusion
The slide provides a comprehensive overview of the retail sector's performance over the past few years, with a focus on revenue growth and economic indicators. The CAGR of 4.1% indicates a moderate growth rate, but the text highlights the potential impact of specific economic indicators on the sector.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a research paper titled "HCMCOUJS-Kinh tế và Quản trị Kinh doanh, 19(10), 58-71." The page is focused on a table that discusses the results of a study on the impact of various factors on customer satisfaction and loyalty. The table is titled "Khái niệm và nội dung biến quan sát" which translates to "Concept and content of the observed variable."

The table is divided into two main columns: "Hệ số chuẩn hóa" (Standardized Coefficient) and "Hệ số tay chuẩn hóa" (Standardized Coefficient of Hand). The table lists several factors and their standardized coefficients, along with their p-values and significance levels.

Here is a breakdown of the factors and their standardized coefficients:

1. **Tối lượng nội với người khác nhau điều thích cụ thể khi mua hàng ở X**
   - **Hệ số chuẩn hóa**: 0.85
   - **Hệ số tay chuẩn hóa**: 0.74

2. **Lồng trung thành (CR = 0.897; AVE = 0.744)**
   - **Hệ số chuẩn hóa**: 0.92
   - **Hệ số tay chuẩn hóa**: 0.92

3. **Tối lượng với mọi người là X rất tốt**
   - **Hệ số chuẩn hóa**: 0.92
   - **Hệ số tay chuẩn hóa**: 0.88

4. **Tối lượng với mọi người nên mua hàng ở X**
   - **Hệ số chuẩn hóa**: 0.88
   - **Hệ số tay chuẩn hóa**: 0.79

The table also includes a note at the bottom indicating that the data were collected from a sample of 100 customers. The authors note that the study was conducted in Vietnam and that the results are based on a sample of 100 customers.

The table provides a clear and concise summary of the study's findings, highlighting the standardized coefficients and their significance levels, which are crucial for understanding the impact of different factors on customer satisfaction and loyalty.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a research paper. The page number is 66, and the title of the document is "Nguyen Van Tuân. HCMCOUJS-Kinh te va Quan tri Kinh doanh, 19(10), 58-71." The document appears to be discussing statistical analysis and findings related to a study on the impact of various factors on economic development.

The content of the page is divided into several sections:

1. **Title Section:**
   - The title is in Vietnamese and translates to "The impact of various factors on economic development."

2. **Table:**
   - The table is titled "Khái niệm và nội dung biến quan sát" which translates to "Concept and content of observed variables."

3. **Columns:**
   - The table has three columns:
     - The first column is labeled "Khái niệm và nội dung biến quan sát" (Concept and content of observed variables).
     - The second column is labeled "Hệ số tần chuẩn hóa" (Standardized coefficient).
     - The third column is labeled "Hệ số tần chuẩn hóa" (Standardized coefficient).

4. **Rows:**
   - The table has five rows:
     - The first row contains the following variables:
       - "Tối lượng sản xuất với người khác nhau" (Production output with different people)
       - "Tối lượng sản xuất (CR = 0.897; AVE = 0.744)" (Production output (CR = 0.897; AVE = 0.744))
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
     - The second row contains the following variables:
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
     - The third row contains the following variables:
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
     - The fourth row contains the following variables:
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
     - The fifth row contains the following variables:
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)
       - "Tối lượng sản xuất với người khác nhau là X rát tốt" (Production output with different people is X good)

5. **Footer:**
   - The footer contains the following text:
     - "Người: Kết quả phân tích dữ liệu của tác giả"
     - "4.1.4. Kiểm định các giá thay đổi với mô hình cấu trúc SEM"
     - "Kết quả uóc lượng (Bảng 3) cho thấy các giá thay đổi H1, H2, H3, H4,


Page 7 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a marketing journal, specifically from the journal "Journal of Marine Science and Technology." The page number is 282, and it is from the 83rd issue, dated 08-2025. The page is titled "KINH TÉ - XÃ HỘI," which translates to "Market Trends - Trends in the Market."

The content of the page is a list of references to various articles and studies related to service quality and customer satisfaction in the context of logistics and supply chain management. The references are organized in a table format, with each reference listed in a separate row. The references are as follows:

1. [1] Bô Công Thương (2024). Báo cáo Logistics Việt Nam 2024: Khu Thương mại tự do. NXB Công thương.
2. [2] Cronin, J. J. & Taylor, S. A., (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, pp. 55-68.
3. [3] C. Grönroos (1984). A Service Quality Model and its Marketing Implications. European Journal of Marketing, No.18 (4), pp.36-44.
4. [4] Parasuraman, A.; Zeithaml, V.A. and Berry, L., (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, pp.41-50.
5. [5] Dospinescu, O., Dospinescu, N. and Bostan, I., (2022). Determinants of e-commerce satisfaction: a comparative study between Romania and Moldova. Kybernetes, Vol.51, No.12, pp.1-17.
6. [6] Liu, X., He, M., Gao, F. and Xie, P., (2008). An empirical study of online shopping customer satisfaction in China: a holistic perspective. International Journal of Retail & Distribution Management, Vol.36, No.11, pp.919-940.
7. [7] Wang, M. and Huarng, S.A.,(2022). An empirical study of internet store customer postshopping satisfaction. Information Systems, Vol.3, pp.632-638.
8. [8] Nguyen Trung Tien và công sự (2023). Nghĩen cứu các yếu tố ảnh hưởng đến sự hài lòng chất lượng dịch vụ mua sắm trực tuyến của người tiêu dùng trên thị trường Cần Thơ. Tập chí Công Thương - Các kết quả nghiên cứu khoa học và ứng dụng công nghệ, Số 4.
9. [9] Nguyễn Lan, Nguyễn Thu Hà & Tàn Thị Khánh Phương (2021). An Empirical Study of Customers' Satisfaction and Repurchase Intention on Online Shopping in Vietnam. The Journal of Asian Finance, Economics and Business, Vol.8, No.1, pp.971-983.
10. [10] Vũ Thị Hạnh, Nguyễn Thị Bích (2021). Phân tích các yếu tố ảnh hưởng đến sự hài lòng của khách hàng về chất lượng dịch vụ logistics ở miền Bắc Việt Nam. Tập chí Quản lý và Kinh tế quốc tế, Số 143.
11. Mentzer, J. T.; Flint, D. J.; & Hult, G. T. M., (2001). Logistics Service Quality as a Segment- Customized Process. Journal of Marketing, No.65, pp.82-104.
12. Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson (2010). Multivariate data analysis. Upper Saddle River, NJ, Prentice Hall.
13. R. A. Peterson (1994). A meta-analysis of Cronbach's coefficient alpha. Journal of Consumer Research, Vol.21, pp.381-391.

The references are likely to be related to studies on service quality, customer satisfaction, and logistics in the context of supply chain management. The page seems to be discussing the impact of various factors on customer satisfaction in the context of online shopping and logistics.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a scholarly journal, specifically from the "Khoa Hoc Cong Nghe Hang Hai" (Journal of Marine Science and Technology) published by the University of Science and Technology. The page number is 282, and it is from the 83rd issue, dated 08-2025.

The page contains a mix of text in both Vietnamese and English. The main content is divided into two sections: the left side contains a list of references, and the right side contains a section of text discussing the topic of "Kinh Te - Xa Hoi" (Economics - Trade).

The references section includes the following entries:
1. [1] Bô Công Thương (2024). Báo cáo Logistics Việt Nam 2024: Khu Thương mại tự do. NXB Công Thương.
2. [2] Cronin, J. J. & Taylor, S. A., (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, pp. 55-68.
3. [3] C. Grönroos (1984). A Service Quality Model and its Marketing Implications. European Journal of Marketing, No.18 (4), pp.36-44.
4. [4] Parasuraman, A.; Zeithaml, V.A. and Berry, L., (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, pp.41-50.
5. [5] Dospinescu, O., Dospinescu, N. and Bostan, I., (2022). Determinants of e-commerce satisfaction: a comparative study between Romania and Moldova. Kybernetes, Vol.51, No.12, pp.1-17.
6. [6] Liu, X., He, M., Gao, F. and Xie, P., (2008). An empirical study of online shopping customer satisfaction in China: a holistic perspective. International Journal of Retail & Distribution Management, Vol.36, No.11, pp.919-940.
7. [7] Wang, M. and Huarng, S.A.,(2022). An empirical study of internet store customer postshopping satisfaction. Information Systems, Vol.3, pp.632-638.
8. [8] Nguyen Trung Tien và công sự (2023). Nghĩa cừu các yếu tố ảnh hưởng đến sự hài lòng chất lượng dịch vụ mua sắm trực tuyến của người tiêu dùng trên thị trường Cần Thơ. Tập chí Công Thương - Các kết quả nghiên cứu khoa học và ứng dụng công nghệ, Số 4.
9. [9] Nguyễn Lan, Nguyễn Thu Hà & Tàn Thị Khánh Phương (2021). An Empirical Study of Customers' Satisfaction and Repurchase Intention on Online Shopping in Vietnam. The Journal of Asian Finance, Economics and Business, Vol.8, No.1, pp.971-983.
10. [10] Vũ Thị Hạnh, Nguyễn Thị Bích (2021). Phân tích các yếu tố ảnh hưởng đến sự hài lòng của khách hàng về chất lượng dịch vụ logistics ở miền Bắc Việt Nam. Tập chí Quản lý và Kinh tế quốc tế, Số 143.
11. Mentzer, J. T.; Flint, D. J.; & Hult, G. T. M., (2001). Logistics Service Quality as a Segment- Customized Process. Journal of Marketing, No.65, pp.82-104.
12. Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson (2010). Multivariate data analysis. Upper Saddle River, NJ, Prentice Hall.
13. R. A. Peterson (1994). A meta-analysis of Cronbach's coefficient alpha. Journal of Consumer Research, Vol.21, pp.381-391.

The right section of the page contains a section of text discussing the topic of "Kinh Te - Xa Hoi" (Economics - Trade). The text is written in Vietnamese and discusses various economic and trade-related topics, including service quality, logistics, and customer satisfaction.


Page 6 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a technical or academic document, specifically a research paper or report. The page number is 19, and it is part of a larger document titled "TAP CHI KHOA HOC VÀ CONG NGHÈ TRƯỜNG ĐẠI HỌC HƯNG VƯONG" (TAP CHI KHOA HOC AND CONG NGHÈ TRƯỜNG UNIVERSITY OF HUNG VƯONG).

The content of the page is divided into several sections, each discussing different aspects of a study or analysis. Here is a detailed description of the content:

1. **Title Section**: The title is "4.2. KET QUÁ ĐỰ BÁO" (4.2. ESTIMATION), which translates to "4.2. Estimation" in English. This section likely discusses the estimation methods used in the study.

2. **Table of Results**: The table is titled "Bảng 2. KET QUÁ ĐỰ BÁO ROA" (Table 2. ESTIMATION OF ROA). This table shows the results of various estimation methods for ROA (Return on Assets). The table includes columns for different methods such as Random Forest, XGBoost, and MLP (Neural Network). The rows show the results for each method, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Pearson Correlation Coefficient (Pearson Correlation R), and Theil's U.

3. **Graphs and Charts**: There are several graphs and charts in the table, which are likely visual representations of the data. These charts include scatter plots, bar charts, and histograms, which help in visualizing the relationships between different variables.

4. **Discussion Section**: The discussion section follows the table of results, providing insights into the performance of the different estimation methods. It likely discusses the accuracy, precision, and reliability of each method.

5. **Conclusion Section**: The conclusion section summarizes the findings and provides a final statement about the study's results.

The overall content of the page appears to be focused on statistical analysis and estimation techniques, specifically in the context of ROA estimation. The use of tables, graphs, and charts helps in presenting the data in a clear and concise manner, making it easier for readers to understand the results and conclusions of the study.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a book or academic paper. The page number is 19, and the document is titled "TAP CHI KHOA HOC VÀ CONG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯONG" (TAP CHI KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯONG). The page number is 14-24, indicating it is part of a larger document.

The content of the page is divided into several sections, each containing text and graphical data. Here is a detailed description of the page:

### Header:
- **Title**: TAP CHI KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯONG
- **Page Number**: 14-24

### Main Content:
1. **Introduction Section**:
   - The text discusses the impact of various economic indicators on the ROE (Return on Equity) of different industries in Vietnam. It mentions that the ROE is influenced by factors such as CPI (Consumer Price Index), USD-VND Exchange Rate, Gold Price, WTI Oil Price, and Brent Oil Price.

2. **Graphical Data**:
   - **Graph 2**: **Kết quả dự báo ROA**
     - **Columns**:
       - **Mô hình**: Random Forest, XGBoost, MLP (Neural Network)
       - **RMSE**: 0.0926, 0.0992, 0.1031
       - **MAPE**: 73.5290, 40.2614, 66.2759
       - **MAE**: 0.0742, 0.0735, 0.0830
       - **Pearson Correlation R**: 0.9079, 0.8975, 0.8864
       - **Theil’s U**: 0.0929, 0.1000, 0.1045
     - **Legend**:
       - **Random Forest**: Blue dots
       - **XGBoost**: Red dots
       - **MLP (Neural Network)**: Green dots
     - **Axes**:
       - **X-axis**: Mô hình
       - **Y-axis**: RMSE, MAPE, MAE, Pearson Correlation R, Theil’s U

3. **Graph 3**: **Giá trị thực tế và dự báo ROA**
   - **Columns**:
     - **Mô hình**: Random Forest, XGBoost
     - **Giá trị thực tế**: 0, 0.05, 0.1, 0.15, 0.2, 0.25
     - **Giá trị dự báo**: 0.05, 0.1, 0.15, 0.2, 0.25
     - **Legend**:
       - **Random Forest**: Green bars
       - **XGBoost**: Red bars
     - **Axes**:
       - **X-axis**: Mô hình
       - **Y-axis**: Giá trị thực tế, Giá trị dự báo

4. **Graph 4**: **Giá trị thực tế và dự báo ROA**
   - **Columns**:
     - **Mô hình**: Random Forest, XGBoost
     - **Giá trị thực tế**: 0, 0.05, 0.1, 0.15, 0.2, 0.25
     - **Giá trị dự báo**: 0.05, 0.1, 0.15, 0.2, 0.25
     - **Legend**:
       - **Random Forest**: Green bars
       - **XGBoost**: Red bars
     - **Axes**:
       - **X-axis**: Mô hình
       - **Y-axis**: Giá trị thực tế, Giá trị dự báo

### Analysis:
- **Random Forest**: The Random Forest model has the lowest RMSE, MAPE, MAE, Pearson Correlation R, and Theil’s U values.
- **XGBoost**: The XGBoost model has the highest RMSE, MAPE, MAE, Pearson Correlation R, and Theil’s U values.
- **MLP (Neural Network)**: The MLP (Neural Network) model has the highest RMSE, MAPE, MAE, Pearson Correlation R, and Theil’s U values.

### Conclusion:
The study


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

[User] Dựa trên dữ liệu về lạm phát và chi tiêu bán lẻ năm 2024, tôi nên lập kế hoạch kinh doanh thế nào để tối đa hóa doanh thu?

[Assistant]
<think>1. Extract key data from the text: CPI in Nov 2024 increased 2.65% YoY, average 11 months up 3.69% (below government target of 4-4.5%), indicating controlled inflation. 2. Retail spending grew 8.8% YoY in Nov 2024 and for 11 months, with real growth excluding price factors at 5.8%, showing recovery and positive consumer demand. 3. Tourism data: International visitors up 41% YoY, domestic tourism strong, which can boost retail sales, especially in sectors like souvenirs or hospitality. 4. Relate to store owner: With low inflation, consumer purchasing power is stable, and increased spending suggests higher sales potential. 5. Infer strategies: Plan inventory based on demand trends, consider marketing to tourists, adjust pricing moderately to align with inflation while staying competitive, and focus on volume growth given positive outlook.</think>
Dựa trên báo cáo, lạm phát được kiểm soát (CPI tháng 11/2024 tăng 2.65%, thấp hơn mục tiêu), và chi tiêu bán lẻ tăng 8.8% so với cùng kỳ, cho thấy ngành đang phục hồi. Để tối đa hóa doanh thu: 1) Tăng cường quảng cáo và khuyến mãi để thu hút khách hàng, đặc biệt trong bối cảnh chi tiêu tiêu dùng tăng. 2) Điều chỉnh giá sản phẩm nhẹ (khoảng 2-3%) để phù hợp với lạm phát, nhưng giữ cạnh tranh vì nhu cầu cao. 3) Tập trung vào các sản phẩm liên quan đến du lịch (nếu có), vì lượng khách quốc tế và nội địa tăng mạnh. 4) Lập kế hoạch tồn kho dựa trên xu hướng tăng trưởng, chuẩn bị cho các tháng cao điểm cuối năm. Triển vọng tích cực, nên cân nhắc mở rộng hoặc đầu tư thêm vào cửa hàng.


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

[User] Tôi sở hữu một cửa hàng bán đồ điện tử tại Hà Nội. Dựa vào dữ liệu FDI và xu hướng Hallyu, tôi có nên nhập thêm sản phẩm từ Hàn Quốc không?

[Assistant]
<think>First, extract relevant data from the text: FDI section shows South Korea as the #2 investor in Vietnam in 2024, with implement capital increasing from 2015 to 2024, indicating strong economic ties and potential consumer demand for Korean products. Second, the retail landscape section mentions 'Hallyu in Vietnam,' which refers to the Korean Wave and suggests cultural influence and popularity of Korean goods in the market. Third, combine this information: high FDI from South Korea implies business opportunities and familiarity with Korean brands, while Hallyu indicates consumer interest. Therefore, importing Korean products could tap into this demand and leverage market trends.</think>
Vâng, dựa trên dữ liệu từ tài liệu, bạn nên cân nhắc nhập thêm sản phẩm từ Hàn Quốc. Hàn Quốc là nhà đầu tư lớn thứ hai tại Việt Nam năm 2024, với vốn đầu tư tăng qua các năm, cho thấy mối quan hệ kinh tế chặt chẽ và có thể dẫn đến nhu cầu tiêu dùng cao đối với hàng hóa Hàn Quốc. Đồng thời, xu hướng Hallyu (Làn sóng Hàn Quốc) đang phổ biến tại Việt Nam, điều này khuyến khích sự quan tâm của người tiêu dùng đối với sản phẩm văn hóa và điện tử Hàn Quốc. Việc này có thể giúp cửa hàng của bạn thu hút khách hàng và tận dụng thị trường đang phát triển, nhưng hãy theo dõi động thái thị trường để điều chỉnh phù hợp.


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

[User] Là một chủ cửa hàng bán lẻ nhỏ độc lập ở Việt Nam, tôi muốn cải thiện hiệu quả kinh doanh thông qua số hóa. Tôi nên tập trung vào những bước nào đầu tiên?

[Assistant]
<think>The source document includes an article titled 'Thúc đẩy số hóa và dịch vụ hóa trong các cửa hàng bán lẻ nhỏ, độc lập tại Việt Nam' (Enhancing digitalization and servitization in Vietnamese small, independent retailers). This suggests that digitalization and improved services are key strategies. To solve the user's query, I first identify the core recommendation from the title: start with basic digital tools to streamline operations and enhance customer service, as servitization implies adding value through services. Next, I infer practical steps: begin by digitizing inventory management and sales processes, then integrate simple online payment or customer engagement tools. This aligns with common retail challenges and the document's focus on small, independent stores in Vietnam. Finally, ensure the advice is actionable and based on the implied themes from the text, avoiding assumptions beyond what's provided.</think>
Dựa trên nghiên cứu về số hóa và dịch vụ hóa trong cửa hàng bán lẻ nhỏ, bạn nên bắt đầu bằng cách số hóa quản lý kho hàng và hệ thống bán hàng cơ bản, chẳng hạn sử dụng phần mềm quản lý bán lẻ đơn giản. Sau đó, tập trung vào dịch vụ khách hàng thông qua các kênh số như tạo trang mạng xã hội hoặc ứng dụng đặt hàng trực tuyến để tăng sự tiện lợi và lòng trung thành. Ưu tiên các công cụ phù hợp với ngân sách và quy mô nhỏ, đồng thời đánh giá hiệu quả thường xuyên để điều chỉnh.


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

[User] Tôi là chủ một cửa hàng bán lẻ tại Việt Nam và đang gặp khó khăn trong việc dự đoán lợi nhuận tương lai. Làm thế nào tôi có thể sử dụng trí tuệ nhân tạo để cải thiện việc dự báo hiệu quả tài chính như ROA và ROE?

[Assistant]
<think>The source document discusses using AI and ML models to forecast ROA and ROE for retail businesses in Vietnam, highlighting that traditional methods like linear regression are limited with non-linear data. Studies by Kayakus, Tutcu, and He show AI/ML's effectiveness. To address the user's query, I need to outline steps based on the text: 1) Collect historical financial data (2010-2024) and macro variables (CPI, exchange rate, gold price, VN-Index, oil price). 2) Use AI/ML models such as ANN or SVR, as referenced, to handle complex patterns. 3) Compare model performance to identify the best one for accurate forecasting. This approach leverages the document's findings to provide practical guidance.</think>
Dựa trên nghiên cứu hiện tại, để sử dụng AI dự báo hiệu quả tài chính như ROA và ROE cho cửa hàng của bạn, hãy làm theo các bước sau: 1) Thu thập dữ liệu tài chính lịch sử của cửa hàng và kết hợp với các biến vĩ mô như CPI, tỷ giá, giá vàng, VN-Index, và giá dầu. 2) Áp dụng các mô hình học máy như ANN hoặc SVR (được đề cập trong nghiên cứu) để xử lý dữ liệu phi tuyến và biến động. 3) So sánh hiệu suất giữa các mô hình để chọn ra phương pháp dự báo tối ưu, giúp bạn ra quyết định hiệu quả hơn.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or report, specifically page 16. The text is in Vietnamese and discusses various financial and economic metrics related to companies. The page is divided into two main sections:

1. **Table of Companies**:
   - The table lists 12 companies, each with a unique code (Mã công ty) and their respective names (Tên công ty).
   - The table also includes the stock exchange code (Sàn niêm yết) for each company.

2. **Introduction to the Companies**:
   - The text explains that the companies listed are part of a larger group and are expected to grow in the future.
   - It mentions that the companies are expected to have a positive impact on the economy and are expected to have a positive impact on the economy.

The text is well-organized and provides a clear overview of the companies listed, making it easy for readers to understand the context and significance of each company. The use of specific codes and stock exchange codes helps in identifying the companies and their respective positions in the market.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document titled "TẬP CHÍ KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯƠNG" authored by Đỗ Quang Hùng. The page number is 16. The document appears to be a part of a larger academic or research work, possibly related to business or economics.

The content of the page is divided into two main sections:

1. **Table of Companies**:
   - The table lists 12 companies with their respective names, stock symbols, and stock exchange codes (HOSE, HNX, UPCOM).
   - The table is structured as follows:
     - Columns: Mã công ty (Company Code), Tên công ty (Company Name), Sàn niêm yết (Stock Exchange).
     - Rows: Each row corresponds to a different company listed in the table.

2. **Introduction to the Companies**:
   - The introduction discusses the companies' roles and significance in the context of the document.
   - It mentions that the companies are part of a larger study or research project, likely related to the Vietnamese economy and business.

The layout is straightforward, with clear headings and a structured table that provides a quick reference to the companies listed. The text is formatted in a readable font, and the table is neatly organized, making it easy to navigate and understand the information presented.

Overall, the document seems to be a part of a larger academic or research project, focusing on the companies listed in the table. The table provides a concise and organized way to present the information, making it accessible for further analysis or reference.


Page 8 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a slide from a presentation, likely discussing the market share and growth of various retail chains in Vietnam. The slide is titled "Những 'Tay Chơi' lớn trên thị trường bán lẻ" which translates to "Some 'Chips' that are Large on the Retail Market."

### Key Points on the Slide:

1. **Introduction**:
   - The slide starts with a brief introduction to retail in Vietnam, highlighting the importance of retail chains in the market.

2. **Market Share Analysis**:
   - There is a bar chart that shows the total sales of various retail chains in Vietnam.
   - The chart includes the following retail chains:
     - Vincom (1,747 m2)
     - Central Retail (1,200 m2)
     - Aeon (1,040 m2)
     - Lotte Retail (253 m2)

3. **Chain Comparison**:
   - The chart compares the total sales of these chains.
   - Vincom has the highest sales, followed by Central Retail, Aeon, and Lotte Retail.

4. **Chain Growth**:
   - The slide mentions that the growth of these chains is significant.
   - Vincom, Central Retail, and Aeon have shown strong growth in recent years.

5. **Chain Strategy**:
   - The slide discusses the strategies of these chains.
   - Vincom, Central Retail, and Aeon are known for their strategic growth and expansion plans.

### Additional Information:
- The slide also includes a paragraph that discusses the growth of retail chains in Vietnam.
- It mentions that Vincom, Central Retail, and Aeon are expected to continue growing in the future.
- The slide also includes a reference to the "PSI tổng hợp và ưu tiên" which translates to "Total Summary and Priorities."

### Conclusion:
This slide provides a comprehensive overview of the retail market in Vietnam, focusing on the growth and strategies of major retail chains. The bar chart and the accompanying text provide clear insights into the market dynamics and future prospects of these chains.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, likely a report or analysis, focusing on retail market trends in Vietnam. The layout is divided into several sections:

1. **Header Section**:
   - The header contains the title in bold, "Những 'Tay Chơi' Lớn Trên Thị Trường Bán Lẻ," which translates to "Some Big Players in the Retail Market."

2. **Main Body Section**:
   - The main body contains a paragraph discussing the growth of retail in Vietnam, mentioning specific companies such as Vincom, Central Retail, Aeon, and Lotte Retail.
   - There is a bar graph on the right side of the page, showing the total sales of these companies in square meters (m²).

3. **Graph Section**:
   - The bar graph is divided into four bars, each representing a different company:
     - Vincom: 1,747 m²
     - Central Retail: 1,200 m²
     - Aeon: 1,040 m²
     - Lotte Retail: 253 m²

4. **Additional Text**:
   - Below the graph, there is a paragraph explaining the growth of retail in Vietnam and the role of these companies in the market.
   - The paragraph mentions that the growth of retail in Vietnam is driven by the expansion of large-scale retail chains such as Vincom, Central Retail, Aeon, and Lotte Retail.

5. **Footer Section**:
   - The footer contains the source of the data, "PSI tổng hợp và quốc tế."

The layout is clear and organized, with the main body providing the most detailed information, while the graph and additional text provide supplementary insights. The use of bold text and clear headings helps in organizing the content effectively.


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

[User] Tôi sở hữu một cửa hàng tạp hóa nhỏ ở Thành phố Hồ Chí Minh và đang đối mặt với tình trạng thiếu lao động và chi phí nguyên vật liệu tăng cao. Làm thế nào tôi có thể áp dụng công nghệ để cải thiện chuỗi cung ứng của mình?

[Assistant]
<think>First, recognize the challenges: labor shortage and high material costs, as mentioned in the source document as key issues in retail supply chains. The text indicates that internal efficiency alone is insufficient, and applying advanced technologies like AI, automation, cloud computing, and data analytics is crucial for optimization. For a Vietnamese store owner, start by identifying specific pain points—here, stockouts and costs—and leverage technology to address them. Based on the text, use data analytics for demand forecasting to reduce stockouts and optimize inventory, adopt cloud-based systems for real-time operations and better supplier coordination, and consider automation to mitigate labor shortages. Emphasize learning from Walmart's experience by gradually integrating scalable, cost-effective solutions tailored to local context.</think>
Chào anh/chị, để giải quyết vấn đề thiếu lao động và chi phí nguyên vật liệu cao trong chuỗi cung ứng, anh/chị có thể áp dụng công nghệ dựa trên các khuyến nghị từ nghiên cứu. Đầu tiên, sử dụng công cụ phân tích dữ liệu để dự báo nhu cầu, giúp giảm tình trạng hết hàng và tối ưu hóa tồn kho. Thứ hai, triển khai hệ thống quản lý kho hàng trên nền tảng điện toán đám mây để tự động hóa các tác vụ, cải thiện hiệu quả và giảm phụ thuộc vào lao động. Thứ ba, xem xét tích hợp trí tuệ nhân tạo (AI) để tối ưu đặt hàng và vận chuyển, từ đó giảm chi phí. Bắt đầu với các giải pháp đơn giản như số hóa hồ sơ và sử dụng ứng dụng di động, rồi mở rộng dần. Học hỏi kinh nghiệm từ Walmart, nhưng điều chỉnh phù hợp với quy mô cửa hàng nhỏ tại Việt Nam để đạt hiệu quả bền vững.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a marketing presentation slide titled "NGÀNH HÀNG NỘI BẤT" (Niche Market). The slide is divided into two main sections: "Hàng tiêu dùng nhanh" (Fast-moving consumer goods) and "Top mặt hàng tăng trưởng nhanh nhất trên kênh phân phối trực tuyến 2022 (%YoY)" (Top-selling products with the fastest growth on the e-commerce channel in 2022 (%YoY)).

### Fast-moving consumer goods (Hàng tiêu dùng nhanh)

#### Text Description

The text on the left side of the slide provides a brief overview of the top-selling products in Vietnam. The products listed are:
1. Kem chong nang (Kem chong nang)
2. Chăm sóc tay và cơ thể (Hand and body care)
3. Nước giải (Body wash)
4. Thức uống không cồn (Non-alcohol drink)
5. Sữa bột (Dairy products)

#### Bar Chart

The bar chart on the right side of the slide shows the percentage YoY growth for each product category. The top-selling products are:
1. Kem chong nang (Kem chong nang) - 84.2%
2. Chăm sóc tay và cơ thể (Hand and body care) - 82.2%
3. Nước giải (Body wash) - 62%
4. Thức uống không cồn (Non-alcohol drink) - 53.7%
5. Sữa bột (Dairy products) - 51%

### Business Analysis

The slide highlights the top-selling products in Vietnam, indicating that hand and body care products, non-alcohol drinks, and dairy products are the most popular among consumers. The growth rates for these products are also quite high, suggesting strong demand and potential for further growth in the e-commerce market.

### Conclusion

This slide is a valuable resource for businesses looking to understand the current trends and popular products in the Vietnamese market. By focusing on these top-selling items, businesses can target their marketing efforts more effectively and capitalize on the growing demand for these products.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, likely a report or analysis, focusing on the "NGÀNH HÀNG NỘI BẤT" (Industry). The layout is divided into two main sections: a textual section and a graphical section.

### Textual Section:
The textual section contains a paragraph of text in Vietnamese, which translates to:
"Thị trường bán lẻ hàng tiêu dùng ở Việt Nam được thông qua các nhà bán lẻ như Aeon, Lotte Mart, Saigon Co-op, Winmart và Bach hoa xanh. Tăng trưởng nhanh hàng tiêu dùng chủ yếu phụ thuộc vào tăng trưởng của ngành hàng không thể thiếu. Trong đó, các mặt hàng chung kiến tăng trưởng nhanh nhất là thức uống không cồn và chăm sóc cá nhân, đặc biệt là thông qua kênh phân phối trực tiếp."

Translated to English:
"The retail market for consumer goods in Vietnam is driven by various retailers such as Aeon, Lotte Mart, Saigon Co-op, Winmart, and Bach hoa xanh. Growth in consumer goods is mainly driven by the growth of the non-food sector. Among the fastest-growing categories are non-alcoholic beverages and personal care, particularly through direct distribution channels."

### Graphical Section:
The graphical section presents a bar chart titled "Top mặt hàng tăng trưởng nhanh nhất trên kênh phân phối trực tiếp 2022 (%YoY)" (The fastest-growing categories on direct distribution channels in 2022 (%YoY)). The chart includes five categories:
1. Kem chong nang (Non-alcoholic beverages)
2. Chăm sóc tay và cơ thể (Personal care)
3. Nước giải khát (Non-alcoholic beverages)
4. Thức uống không cồn (Non-alcoholic beverages)
5. Sữa bột (Dairy products)

Each category is represented by a horizontal bar, with the length of the bar indicating the percentage of growth compared to the previous year (%YoY). The bars are color-coded as follows:
- Light blue for Kem chong nang (Non-alcoholic beverages)
- Dark blue for Chăm sóc tay và cơ thể (Personal care)
- Light grey for Nước giải khát (Non-alcoholic beverages)
- Light blue for Thức uống không cồn (Non-alcoholic beverages)
- Light blue for Sữa bột (Dairy products)

### Analysis:
The bar chart shows that the fastest-growing categories on direct distribution channels in 2022 are:
1. Non-alcoholic beverages (Kem chong nang)
2. Personal care (Chăm sóc tay và cơ thể)
3. Non-alcoholic beverages (Nước giải khát)
4. Non-alcoholic beverages (Thức uống không cồn)
5. Dairy products (Sữa bột)

This indicates that the retail market for consumer goods in Vietnam is dominated by these categories, with non-alcoholic beverages and personal care being the most rapidly growing sectors.


Page 2 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "NGÀNH BÁN LÉ NĂM 2024: PHỤC HỒI." The slide is divided into two main sections: a textual section and a graph section.

### Textual Section
The textual section provides a detailed analysis of the CPI (Consumer Price Index) in Vietnam for the year 2024. The text highlights the following key points:

1. **CPI Trends:**
   - The CPI in Vietnam for the year 2024 is expected to be 2.65%, which is a significant increase from the previous year.
   - CPI inflation is expected to remain high, with a projected rate of 2.77%.
   - The CPI for the quarter ending November 2024 is expected to be 3.69%, which is higher than the CPI for the same quarter in 2023.

2. **CPI Breakdown:**
   - The CPI for the year 2024 is expected to be divided into two parts:
     - CPI for the first half of the year (January to June 2024) is expected to be 2.65%.
     - CPI for the second half of the year (July to December 2024) is expected to be 2.77%.

3. **CPI Trends by Month:**
   - The CPI for the first half of the year (January to June 2024) is expected to be 2.65%.
   - The CPI for the second half of the year (July to December 2024) is expected to be 2.77%.

4. **CPI Trends by Quarter:**
   - The CPI for the first quarter (January to March 2024) is expected to be 2.65%.
   - The CPI for the second quarter (April to June 2024) is expected to be 2.77%.

5. **CPI Trends by Month:**
   - The CPI for the first half of the year (January to June 2024) is expected to be 2.65%.
   - The CPI for the second half of the year (July to December 2024) is expected to be 2.77%.

### Graph Section
The graph section provides visual data on the CPI in Vietnam for the year 2024. The graph includes two main components:

1. **CPI Trend Graph:**
   - The graph shows the CPI trend over the year 2024.
   - The CPI trend is depicted with a line graph, which shows the CPI values for each month.
   - The graph highlights the significant increase in CPI inflation from 2023 to 2024.

2. **CPI Breakdown by Month:**
   - The graph also provides a breakdown of the CPI by month.
   - The graph shows the CPI values for each month, with a bar graph.
   - The bar graph shows the CPI values for each month, with the values increasing from the first half of the year to the second half of the year.

### Analysis
The slide provides a comprehensive analysis of the CPI in Vietnam for the year 2024, highlighting the significant increase in inflation rates. The text and graph together provide a clear and detailed view of the CPI trends and projections for the year 2024.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation, likely related to economic or financial data, titled "NGÀNH BÁN LÉ NĂM 2024: PHỤC HỒI." The slide is divided into several sections, including text and graphs.

### Text Content

1. **Title Section:**
   - The title is in bold and reads "NGÀNH BÁN LÉ NĂM 2024: PHỤC HỒI."

2. **Main Body:**
   - The main body of the text discusses the CPI (Consumer Price Index) in Vietnam for the year 2024.
   - It mentions that the CPI for the year 2024 is expected to be 2.65%, which is higher than the previous year's 2.77%.
   - The CPI for the quarter ending November 2024 is 3.69%, which is higher than the previous quarter's 3.64%.
   - The text also mentions that the CPI for the year 2024 is expected to be 3.69%, which is higher than the previous year's 3.64%.
   - The text further discusses the CPI for the quarter ending November 2024, which is expected to be 3.69%, which is higher than the previous quarter's 3.64%.

3. **Graphs:**
   - There are two graphs on the slide.
   - The first graph shows the CPI for Vietnam from January 2022 to November 2024.
   - The second graph shows the CPI for Vietnam from January 2022 to November 2024, with a focus on the CPI for the quarter ending November 2024.

### Graphs

1. **CPI for Vietnam:**
   - The graph shows a line graph with a trend line.
   - The line graph shows the CPI for Vietnam from January 2022 to November 2024.
   - The CPI for Vietnam is expected to be 2.65% in 2024, which is higher than the previous year's 2.77%.

2. **CPI for Vietnam:**
   - The graph shows a bar graph with a trend line.
   - The bar graph shows the CPI for Vietnam from January 2022 to November 2024.
   - The CPI for Vietnam is expected to be 3.69% in 2024, which is higher than the previous year's 3.64%.

### Additional Information:
- The slide is attributed to "ABS Research" and has a logo in the top right corner.
- The slide is numbered as "2" at the bottom right corner.

### Analysis

The slide provides a detailed analysis of the CPI for Vietnam for the year 2024, including the expected CPI for the quarter ending November 2024. The text and graphs are structured to provide a clear and concise overview of the economic data, highlighting the expected trends and changes in the CPI over the year.


Page 8 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a table titled "Tổng Quan Ngành Bán Lẻ" (General Overview of the Retail Industry) from SHS Research, which is a research company. The table provides a detailed breakdown of various retail chains in Vietnam, categorized by their types and locations. Here is a detailed description of the table:

### Table Title: Tổng Quan Ngành Bán Lẻ (General Overview of the Retail Industry)

#### Tên siêu thị/chủ sở hữu (Supermarket/Owner)
| Tên siêu thị/chủ sở hữu | Số lượng CH (Chợ) | Mô hình CH | Khu vực địa lý tập trung | Định vị |
|---------------------------|-------------------|-----------|---------------------|-----------|
| WinMart                   | 4.357             | CH tiện ích/Siêu thị lớn/Mini-super | Toàn quốc             | Tiện nghi, đông gỏi-chất lượng |
| Bách hóa Xanh             | 2.180             | Hàng tiêu dùng | Miền Nam/Trung | Re - Tươi |
| Co.opmart                | 702               | Siêu thị/CH tiện ích | Toàn quốc             | Phố thông |
| Kingfoodmart              | 107               | Chuyên hàng tiêu dùng | HCM                  | Tươi |
| AEON                     | 48                | Đại siêu thị/TTTM | Cao cấp              | Cho gia đình |
| Go!                    | 44                | Đại siêu thị | Các TP lớn | Cho gia đình |
| LAN CHI MART             | 24                | Siêu thị tổng hợp | Miền Bắc             | Vùng miền |
| Mega Market              | 21+               | Bán buôn/bán lẻ | Đô thị lớn | Sơ lược lớn |
| Fujimart                 | 19                | Siêu thị kiểu Nhật | HN                  | Chất lượng |
| BRG Mart                 | 15+               | Siêu thị cap cấp | Miền Bắc             | Cao cấp |

### Analysis:
1. **WinMart**: This is a large supermarket chain with a total of 4,357 stores across the country. It is located in the top position in terms of number of stores.
2. **Bách hóa Xanh**: This chain has 2,180 stores, primarily concentrated in the southern and central regions of Vietnam.
3. **Co.opmart**: With 702 stores, it is the second-largest chain in terms of number of stores.
4. **Kingfoodmart**: This chain has 107 stores, mainly located in Ho Chi Minh City.
5. **AEON**: It has 48 stores, with a focus on high-end shopping centers.
6. **Go!**: This chain has 44 stores, primarily in large cities.
7. **LAN CHI MART**: It has 24 stores, mainly in the northern region.
8. **Mega Market**: It has 21+ stores, with a mix of both large and small stores.
9. **Fujimart**: It has 19 stores, mainly in Hanoi.
10. **BRG Mart**: It has 15+ stores, with a mix of both large and small stores.

### Conclusion:
This table provides a comprehensive overview of the retail industry in Vietnam, highlighting the distribution and size of various retail chains. The data can be used by businesses, investors, and policymakers to understand the market dynamics and make informed decisions.
- Text Content: [IMAGE ANALYSIS]
The image is a table titled "TỔNG QUAN NGÀNH BÁN LÈ" which translates to "General Overview of Sales" in English. The table is organized into four columns and five rows, with the following details:

1. **Column 1**: Title of the column.
2. **Column 2**: Title of the column.
3. **Column 3**: Title of the column.
4. **Column 4**: Title of the column.
5. **Column 5**: Title of the column.

The table contains the following data:

| **Tên siêu thị/chuỗi** | **Số lượng CH** | **Mô hình CH** | **Khu vực địa lý tập trung** | **Định vị** |
|------------------------|----------------|--------------|-------------------------------|--------------|
| WinMart                | 4.357          | CH tiện ích/Siêu thị lõn/Mini-super | Toàn quốc                   | Tiện nghi, đông gởi-chất lượng |
| Bách hóa Xanh          | 2.180          | Hàng tươi sống                | Miền Nam/Trung             | Re - Tươi       |
| Co.opmart             | 702             | Siêu thị/CH tiện ích            | Toàn quốc                   | Phố thông       |
| Kingfoodmart           | 107             | Chuyên hàng tươi              | HCM                         | Tươi          |
| AEON                  | 48              | Đại siêu thị/TTTM               | Cao cấp                     | Cho gia đình    |
| Go!                  | 44              | Đại siêu thị                 | Các TP lõn                   | Cho gia đình    |
| LAN CHI MART           | 24              | Siêu thị tổng hợp             | Miền Bắc                     | Vùng miền      |
| Mega Market            | 21+             | Bán buôn/bán lẻ               | Đô thị lõn                   | Sơ lược lõn     |
| Fujimart               | 19              | Siêu thị kiểu Nhật             | HN                          | Chất lượng     |
| BRG MART               | 15+             | Siêu thị cap cấp               | Miền Bắc                     | Cao cấp       |

The table provides a detailed breakdown of the number of stores (CH) by type, location, and positioning within the market. The data is sourced from SHS Research, and the report is from Insight Asia, Masan Group.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image depicts the interior of a modern grocery store, showcasing a well-organized produce section. The store has a clean and modern design, with a focus on bright colors and a minimalist aesthetic. The produce section is filled with a variety of fruits and vegetables, including pumpkins, tomatoes, and other vegetables, arranged neatly on shelves and displays.

In the foreground, there is a person walking through the store, possibly browsing the produce. The store has a high ceiling with exposed beams, adding to the modern feel of the space. The lighting is bright and evenly distributed, ensuring that the produce is clearly visible.

On the left side of the image, there is a checkout counter where a cashier is working. The cashier is wearing a black uniform, and the counter is equipped with a cash register and a few other items. The cashier appears to be engaged in the process of serving a customer.

The right side of the image shows a section of the produce section, with a variety of pumpkins and other vegetables displayed on shelves. The pumpkins are arranged in a visually appealing manner, with some stacked on top of each other, creating a sense of depth and variety.

Overall, the image conveys a sense of modernity and convenience, with a focus on fresh produce and a well-organized shopping experience. The use of bright colors and a minimalist design contributes to a clean and inviting atmosphere.
- Text Content: [IMAGE ANALYSIS]
The image depicts the interior of a modern grocery store. The layout is well-organized, with a clean and spacious design. The store is brightly lit, with overhead lighting fixtures and natural light coming through large windows or skylights. The floor is made of polished stone or concrete, and the walls are painted in a neutral color, creating a bright and inviting atmosphere.

The store is divided into several sections, each containing various products. On the left side, there is a section with fresh produce, including vegetables and fruits. The produce section is well-stocked and organized, with different types of vegetables and fruits displayed on shelves and in bins. The produce is fresh and appears to be of high quality.

In the center of the store, there is a large display area with a variety of packaged goods, including canned goods, snacks, and other grocery items. The products are neatly arranged on shelves and in bins, making it easy for customers to find what they need.

On the right side of the store, there is a section with packaged goods, including meats, dairy products, and other grocery items. The products are also well-organized and displayed in a way that is easy for customers to navigate.

The store has a modern and sleek design, with clean lines and a minimalist aesthetic. The lighting is bright and even, with no harsh shadows or glare, making the store feel welcoming and comfortable. The overall atmosphere is one of convenience and convenience, with a focus on providing customers with a wide range of products in a clean and organized environment.


Page 10 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a research paper titled "Kiều Anh Tài và công cụ HCMCOUJS-Kinh tế và Quản trị Kinh doanh, 20(10), 54-70." The page is focused on the statistical analysis of data related to economic and financial variables. The specific section of the page is titled "4.2. Dánh giá thang do," which translates to "Rating the trend."

The page contains a table with several columns and rows, detailing various statistical measures such as Cronbach's Alpha, Cronbach's Beta, and Average Variance Extracted (AVE). The table is organized into two main sections: "Bảng 2" (Table 2) and "Bảng 3" (Table 3).

In Table 2, the table is divided into two columns: "Thành phần bậc 1" (First Component) and "Hệ số tài nguyên" (Resource Load). The table includes data for different economic and financial variables, such as "Định hướng doanh nghiệp (EO)," "Định hướng đổi mới (EOI)," "Định hướng chủ động (EOP)," and "Định hướng chấp nhận rủi ro (EOR)." Each variable is listed with its corresponding Cronbach's Alpha, Cronbach's Beta, and Average Variance Extracted (AVE).

In Table 3, the table is divided into two columns: "EOI" and "EOP." The table includes data for different economic and financial variables, such as "Giá trị chức năng (VFU)," "Giá trị nhận thức (VEP)," "Giá trị cảm xúc (VEM)," "Giá trị xả hơi (VSO)," and "Giá trị điều kiện (VCO)." Each variable is listed with its corresponding Cronbach's Alpha, Cronbach's Beta, and Average Variance Extracted (AVE).

The table provides a comprehensive analysis of the reliability and validity of the data collected, which is crucial for the interpretation of the research findings. The data is presented in a clear and organized manner, making it easy for readers to understand the statistical measures and their implications.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a research paper, specifically from the section titled "4.2. Dánh giá thang do". The page number is 62. The paper is titled "Kiều Anh Tài và công cụ. HCMCOUJS-Kinh tế và Quản trị Kinh doanh, 20(10), 54-70". The content is in Vietnamese and discusses the evaluation of the quality of the data and the reliability of the results.

The page contains a table with the following structure:

1. **Title**: "4.2. Dánh giá thang do"
2. **Subheading**: "Đánh giá thang do"
3. **Subheading**: "Đánh giá thang do"
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