AI for e-commerce

About this course

This course covers applying AI across an online store — from SKU unit economics to product pages, traffic, and reviews. It addresses a problem familiar to anyone running a catalog of hundreds of SKUs: there's never enough hands for content, review analysis, and demand forecasting, so decisions get made by gut feel.

The training runs on your real assortment: 'Product Page' covers gathering attributes and writing fact-based titles; 'Traffic' covers building search semantics and keeping ad campaigns under control; 'Customers' covers pulling questions, reviews, and returns into one feedback system. The final project in 'Operations' is calculating the reorder point and safety stock for ten key SKUs.

The course is for online store owners and managers running an assortment of at least a few dozen SKUs. You'll need your own sales export covering at least a few months. No special technical background is required.

What you'll learn

• Calculate SKU unit economics and split the assortment into groups
• Plan for demand and seasonality instead of reacting after the fact
• Gather product attributes and write fact-based listings
• Use image and video generation where it actually helps
• Build search semantics and keep ad campaigns under control
• Pull questions, reviews, and returns into one feedback system
• Forecast demand and calculate the reorder point
• Build a weekly report from five key numbers

What you'll end up with

• A rebuilt product page for one 10-SKU group, based on verified facts
• A quarterly traffic plan for one product group
• A quarterly feedback system for your assortment
• An operations plan with reorder points and safety stock

This course isn't for you if you're looking for ad-platform setup or ready-made creatives — it's about decisions built on data, not the technical setup of ad accounts.