AI for Retail & E-Commerce (Global)
Use AI to forecast demand, optimize pricing, segment customers, and analyze reviews. Built for retail professionals in the US, UK, EU, and Australia.
"Forecast Black Friday demand for 20 SKUs, identify at-risk customers in segment data, and summarize 300 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 + omnichannel overview, scoped to GDPR/CCPA and FTC consumer-protection rules
- 2
Demand Forecasting
AI-powered demand forecast with seasonal (Black Friday/Prime Day) adjustments
- 3
Dynamic Pricing
Pricing recommendations with competitor analysis, MAP-policy and Robinson-Patman aware
- 4
Customer Segmentation
RFM-based customer segments with action plans, profiled within GDPR/CCPA consent limits
- 5
Review & Sentiment Analysis
Sentiment report with product improvement recommendations, screening FTC-deceptive-review signals
- 6
Your Retail AI Toolkit
Reusable prompt library for daily retail operations, with PCI-DSS-safe handling of payment data
Production patterns you'll master
Synthetic data included
- Sales history (40 SKUs, 12 months)
- Seasonal calendar (Black Friday, Prime Day)
- Pricing history (20 products)
- Competitor prices (Amazon, Walmart, Target)
- Customer transactions (500)
- RFM analysis (200 customers)
- Product reviews (300)
- NPS survey (150 responses)
- Prompt library (30 templates)
- Chatbot scenarios (15)
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 (global)?
First course free. $20 per course after that.