AI for Retail & E-Commerce
Use AI to forecast demand, optimize pricing, segment customers, and analyze reviews. Built for retail management students, e-commerce entrepreneurs, and D2C brand owners.
"Forecast Diwali demand for these 20 SKUs, find at-risk customers in segment data, and summarize 60 product reviews — all with AI prompts"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI in Retail Today
AI retail tools landscape + Indian market overview
- 2
Demand Forecasting
AI-powered demand forecast with festival adjustments
- 3
Dynamic Pricing
Pricing recommendations with competitor analysis
- 4
Customer Segmentation
RFM-based customer segments with action plans
- 5
Review & Sentiment Analysis
Sentiment report with product improvement recommendations
- 6
Your Retail AI Toolkit
Reusable prompt library for daily retail operations
Production patterns you'll master
Synthetic data included
- Sales history (20 SKUs, 12 months)
- Festival calendar (15 events)
- Pricing history (15 products)
- Competitor prices (4 platforms)
- Customer transactions (500)
- RFM analysis (50 customers)
- Product reviews (60)
- NPS survey (100 responses)
- Prompt library (25 templates)
- Chatbot scenarios (10)
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your ai for retail & e-commerce?
First course free. $20 per course after that.