Practical Tutorial on Building an E-Commerce BI System with Codex

This course comes from E-Commerce 108 and shows you how to build an e-commerce BI system with Codex. It takes you from zero to a genuinely usable e-commerce BI system using CODEX. The course starts from the most painful points: data scattered across platforms, reports pieced together by hand, and bosses who need decisions but cannot get the numbers. Using AI programming, we run through the entire chain from data extraction, cleaning, modeling, and visualization to automatic report generation, so you can deliver a reusable data dashboard without grinding through code. Suitable for e-commerce operations staff, data analysts, professionals looking to transition into AI programming, and managers who want to drive decisions with data. No deep programming background required; just follow along.

This course follows real e-commerce business scenarios as its main thread and breaks the BI system into actionable steps: requirement gathering, metric definition, data modeling, permission control, front-end and back-end integration, and performance optimization. You can complete each module in the order of the table of contents and replace the sample data with your own store data to gradually build reusable report templates. The course emphasizes following along and deliverability, and is suitable for professionals who want to reduce manual reporting, improve data viewing efficiency, and use AI to assist in building systems. Through a complete workflow exercise, you can better understand the relationship between business metrics and data dashboards, providing a foundation for subsequent operational analysis and management decisions.

• 1.Understanding Codex and BI: Turning "I Want to See the Business Clearly" into Specific Requirements
• 2.Breaking Down Business Metrics: Sales, Order Count, Average Order Value, Gross Margin

• 3.Product Analysis Model: SKU, Category, Sales Volume, and Sell-Through
• 4.Traffic Analysis Model: The Relationship Between Impressions, Clicks, Conversion, and ROI

• 5.Filtering and Permissions: Control Visible Content by Store, Date, and Role
• 6.Front-End and Back-End Integration: Making Pages Display Real Data from the Database
• 7.Experience and Performance Optimization: Fixing Errors, Adjusting Layout, and Improving Loading Speed

💡 Learning Tip:The course content is based on industry practices at the time of publication. It is recommended to combine your study with the latest platform rules.