AI in Retail & E-commerce
Personalization, SKU-level forecasting, visual merchandising, pricing, and inventory — with the creepy line clearly marked.
Last updated: 2026-05-19
What you'll learn
By the end of this course you'll be able to:
- Personalization tiers — light, medium, deep — and where the creepy line sits
- Demand forecasting at SKU level (not just category level)
- Visual merchandising AI — store layouts, planograms, and digital shelf
- Customer service at retail scale, across languages
- Pricing AI — dynamic, promotional, and competitor-aware
- Inventory localization across stores, dark stores, and marketplaces
Who this is for
Retail and e-commerce leaders — CEOs, COOs, CMOs, heads of digital, category directors, and supply-chain leads. Especially relevant for omnichannel retailers across GCC, India, and Africa managing high-SKU assortments, regional pricing dynamics, and customers who switch between physical and digital touchpoints without warning.
Curriculum
8 chapters · 2 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. The retail-AI fit map
- Identify 7 use cases that ship in modern retail and e-commerce
- Apply the "margin impact vs trust risk" matrix to each candidate
2. Personalization without crossing the creepy line
- Pick the right personalization tier for the surface and the segment
- Apply 3 design patterns that keep personalization on the right side of trust
3. Demand forecasting at SKU level
- Move from category-level to SKU-level forecasts that planners trust
- Handle long-tail SKUs and new-product introductions
4. Visual merchandising AI
- Apply vision AI to planogram compliance and store-floor analytics
- Use AI for digital-shelf merchandising on marketplaces
5. Customer service at scale
- Run multilingual, omnichannel customer service across chat, voice, and email
- Design escalation paths that protect CSAT during peak season
6. Pricing AI
- Use AI for dynamic, promotional, and competitor-aware pricing
- Avoid the 3 pricing AI patterns that damage long-term loyalty
7. Inventory localization
- Localize stocking across stores, dark stores, and 3P fulfilment nodes
- Couple inventory AI to last-mile delivery realities in your markets
Capstone: Capstone: Your retail AI roadmap
- Pick 3 use cases sequenced across 2 quarters and 2 channels
- Define margin, CSAT, and stock-availability KPIs your CEO will track
Capstone deliverable: Every learner who completes this course produces «Your 2-Quarter Retail AI Roadmap» — a tangible artifact you take back to your organization.
Curriculum live · full chapter content rolling out through 2026.
The outline, learning objectives, references, and capstone deliverable are published. Full chapter content (video, narration, exercises) ships progressively. Get notified when each chapter goes live.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
NRF — State of Retail and the Consumer
National Retail Federation · Source link
Gartner — Retail Industry Insights
Gartner · Source link
Microsoft Industry — Retail and Consumer Goods
Microsoft · Source link
World Economic Forum — Future of Jobs Report
WEF · Source link
Course details
Track
By Industry
Level
Intermediate
Audience
Executive, Director, Manager
Function
Sales & Marketing, Operations & Supply Chain, Customer Service
Industry
Retail & E-commerce
Stack
Microsoft, Stack-agnostic
Paired Gennoor Way phase
diagnose, innovate
Format
video, reading
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
Or just keep learning. We recommend next:
Just finished «AI in Retail & E-commerce». Want this to go further at your organization?