toolathon123/brazil-argentina-ecommerce-cost-optimization

Brazil-Argentina E-Commerce Cost Optimization Dataset

Real-time operational dataset collected by a cross-border e-commerce retail company headquartered in São Paulo, Brazil, with operations in Buenos Aires, Argentina. This dataset is published to support the Data Science team's model training and cost-structure analysis during the quarterly cost-optimization program.

Overview

• Number of records: 500
• Time span: Rolling window covering the most recent 7 days (collection period: 2026-08-06 to 2026-08-13 UTC)
• Geography: Brazil (São Paulo, Rio de Janeiro, Curitiba, Belo Horizonte) and Argentina (Buenos Aires, Córdoba, Rosario, Mendoza)
• Content: Orders, logistics, inventory, and pricing information for e-commerce products
• File: brazil_argentina_ecommerce_cost_optimization.csv

Data Source

The data is sourced from the company's real-time operational pipeline that aggregates data from:

1. Order Management System (OMS) — sales orders, selling prices, and sales volumes.
2. Logistics & Fulfillment Platform — inbound/outbound freight and last-mile delivery costs per order line.
3. Warehouse / Inventory Management System (WMS) — storage costs and current stock status per SKU.
4. Pricing Engine — unit costs and final selling prices after promotional adjustments.

All monetary values are reported in USD as a normalized reporting currency for cross-country cost benchmarking between Brazil (BRL operations) and Argentina (ARS operations).

Collection Time

• Collection mode: Real-time / streaming ingestion with periodic snapshots.
• Collection window: Data collected continuously during the 7 days preceding 2026-08-13 14:16 UTC.
• collected_at field: UTC timestamp capturing when each record was ingested into the data lake.

Field Descriptions

Column	Type	Description
product_id	string	Unique identifier of the product / SKU (e.g., PRD-00001).
product_name	string	Human-readable product name.
category	string	Product category (Electronics, Fashion, Home & Kitchen, Beauty & Personal Care, Sports & Outdoors, Toys & Games, Grocery & Food).
region	string	City and country of sale/fulfillment (e.g., São Paulo, Brazil, Buenos Aires, Argentina).
unit_cost	float	Procurement/manufacturing unit cost in USD.
selling_price	float	Final selling price per unit in USD.
logistics_cost	float	Logistics & last-mile delivery cost per unit in USD.
storage_cost	float	Warehousing/storage cost per unit in USD.
profit_margin	float	Gross margin percentage computed as (selling_price - unit_cost - logistics_cost - storage_cost) / selling_price * 100. Negative values indicate loss-making items.
sales_volume	int	Number of units sold in the observed window.
stock_status	string	Inventory status: in_stock, low_stock, out_of_stock, pre_order.
collected_at	datetime	UTC timestamp of record ingestion (ISO YYYY-MM-DD HH:MM:SS).

Intended Use

• Training regression/classification models for cost optimization and profitability prediction.
• Analyzing logistics and storage cost drivers across Brazil and Argentina.
• Inventory planning and stock-status forecasting.
• Cross-region pricing and margin benchmarking.

Usage Restrictions

• Internal use: This dataset is intended for the internal Data Science and cost-optimization teams of the company. Distribution outside the company requires prior written approval.
• No PII: All records are fully anonymized; no personally identifiable information (PII) or customer data is included.
• No commercial redistribution: Redistribution or resale of this dataset for commercial purposes is prohibited without explicit consent.
• Data freshness: The data represents a rolling 7-day snapshot. Use collected_at to filter by time and re-pull the latest snapshot for production use.
• Currency note: Values are normalized to USD; currency conversion rates applied at collection time should be considered when comparing across periods.
• Not for medical/legal use: This dataset is provided "as is" for analytical purposes only and should not be used for any regulated decision-making without validation.

License

This dataset is shared under a restrictive internal license (license: other). See "Usage Restrictions" above.

Contact

Data Engineering / Cost Optimization Program — project: project_20260813_004922_3536e88b.