Recommended products — personalized for every customer
Our AI engine learns from customer behavior and offers relevant products — on the product page, in cart, and in customer history. Increases AOV by 15-30%.
AI Recommendation Engine — extra sales that work on their own
AI that learns customer behavior in real time and proposes the right product to the right person — boosts AOV by 15-30%
- Recommendations on product page — "Customers who bought this also bought..."
- Recommendations in cart — "Complete with..." — smart upsell
- Post-purchase recommendations — email/WhatsApp with items that fit the purchase
- AI trains on your data — not a generic model
- Built-in A/B testing — to know which recommendations actually work
What the Recommendation Engine includes
AI that has learned your business — and recommends the products that grow your margin
Activate the recommendation engine in 3 steps
From first setup to extra sales running automatically — in one day
Click "Enable AI Recommendations" in StoreChart. AI starts training on your products, orders, and history.
Product page? Cart? Post-purchase email? All of them? Enable the placements that fit your store.
Within 7-14 days — a report showing how much AI added. Most clients see +15% AOV within a month.
AI Product Recommendations — how it works
A deep dive into AI Product Recommendations core capabilities in StoreChart
Frequently asked questions about AI Recommendations
AI learns from 3 sources: (1) the customer's purchase and browsing history; (2) behavior of similar customers who bought the same product; (3) product correlations (those who bought X also bought Y in the past). The model updates every night with new data — it gets smarter over time.
Related capabilities
Ready to grow AOV by 15-30% — without working more?
AI that has learned your business, proposes the right product, and counts the lift for you