Discover how AI For E-Commerce teaches you to run every part of an online shop with AI — products, traffic, ads, email and pricing — and finish holding forty-eight files built from your own shop’s numbers.
Most shop owners have been prompting AI for months and have nothing finished to show for it: every chat starts from nothing, product decisions still come down to gut feel, and the email list sits there because the flows were never built. The AI For E-Commerce course takes a different route. Every lesson’s prompts read files you have already built and write a new named file the next lesson picks up, so the work adds up instead of starting again.
It starts from the very beginning and takes you through to an expert level. You don’t need a shop, sales or any AI experience: a complete worked shop ships with the course, so you can do every lesson before your own data is ready.
👉 See the full AI For E-Commerce course here →
🔍 What Is AI For E-Commerce?
AI For E-Commerce is a complete course in six sections: thirty-one lessons, seven live builds and eleven workshops, with about ten hours of video. Every lesson comes with a video and an SOP PDF that holds the full prompts, and leaves you with a named file in your store project.
If your own data isn’t ready, you work on Northmill Coffee, a fictional coffee retailer that ships with the course — 29 products, 600 customers and 1,829 orders across six files that all agree with each other. When your own exports are ready, you run the whole thing again on yours. The course is $197 as a one-off payment with lifetime access and every future update, and the page states a 30-day money-back guarantee.
👤 Who This Course Is For
This course is ideal for:
✔ Complete beginners who want to start an online shop with AI from day one
✔ Shop owners running Shopify, WooCommerce or any platform that exports a CSV
✔ Pre-launch founders who want to practise on a complete worked shop first
✔ E-commerce marketers who want campaigns and email flows built on real numbers
✔ Anyone who can read a spreadsheet and follow a numbered list
It isn’t designed for anyone who wants prompts to paste and ship without reading the output. The prompts are written to check their own work, and some of them will tell you a test isn’t worth running.
📚 What You’ll Learn (Course Highlights)
Here’s a breakdown of the six sections inside AI For E-Commerce:
🔹 0. Your Claude Store Project
Set up the six files your store runs on and the naming convention that lets every later lesson find them, so you stop re-explaining your shop each time you open AI.
🔹 1. Foundations and the Shared Customer Asset
Where AI actually pays in a store, a customer voice dataset in your buyers’ own words, personas built from behaviour rather than guesses, a search intent matrix and a store readiness audit with baseline numbers.
🔹 2. Product Discovery and Validation
A trend funnel, a 25-product shortlist, a competitor spy grid, a weighted product scoring matrix and marketplace validation — so you decide what to launch and what to drop on one model you can argue with.
🔹 3. Traffic and Demand Generation
A pain dictionary, long-tail SEO and answer-engine pages, fifteen ad angles, a thirty-test creative matrix, an honest ad forecast against your break-even, a Google Shopping feed rewrite and a creator and UGC brief.
🔹 4. Email, SMS and Loyalty Automation
Who you may lawfully contact, one customer score, six lifecycle flows, personalised recommendation rules, post-purchase lifetime value levers and how to measure whether a campaign is worth sending.
🔹 5. Price, Discount and Promotion
What a discount really costs in profit, which products can carry one, what free shipping is costing you, how to build a discounted offer, a promotional calendar costed first and how to tell whether a price change worked.
🔹 The eleven workshops
Each workshop is a five-page SOP plus a short recording of the prompts being run, and together they turn the files you have built into Google Ads, Facebook, Instagram, Reddit and TikTok campaigns, and into welcome, abandoned cart, post-purchase, win-back, re-permission and upsell flows. Each section also ends with a live build of that section’s prompts.
👉 Explore the AI For E-Commerce curriculum →
📈 Outcomes You Can Expect
According to the course page, you finish holding:
✔ Forty-eight named files with your own shop’s figures in them
✔ A product scoring matrix that tells you what to launch and what to drop
✔ Ad angles, a creative matrix and a shopping feed built off your own break-even
✔ Six lifecycle email flows and the rules behind your recommendations
✔ A costed promotional calendar and a discount cost calculator
✔ Step-by-step SOPs and prompts you can re-run whenever your data changes
The page is clear that it won’t promise you a revenue number. It promises the finished work, built from your own data.
💡 Why This Course Matters
Using AI to write words is easy. Using it to make decisions — which products deserve the money, which ads actually pay, what a discount really costs — needs your own figures and prompts that refuse to guess.
AI For E-Commerce is built around files rather than one long chat, because a long chat loses its early outputs and starts making them up again. Each file is built once and read by every lesson after it, so nothing in the course gets built twice.
🔎 Course Summary
Course Name: AI For E-Commerce
Category: AI For E-Commerce
Focus: Running product research, traffic, ads, email and pricing with AI, built on your own shop’s data
Price: $197, one-off, lifetime access
Ideal For: Beginners, pre-launch founders, shop owners and e-commerce marketers
🔗 Learn More
Ready to turn months of prompting into finished work? Get full details, the complete curriculum and the FAQ on the course page: