Recommendations that react to every shopper.
They're worked out the moment the page loads, from what that shopper just looked at and what's in their cart. You choose the logic once, and it runs for every shopper.
Same shirt. Two shoppers. Different recommendations.
One shopper has spent the morning looking at swim shorts. The other has pink loafers in the cart. Both open the same blue linen shirt, and each gets recommendations for where they're headed, the beach or Saturday night.
The one-minute film shows it end to end. Read why it matters
You're still in charge.
Set it up in a few steps.
Each step reads like a sentence. Show what's similar to what they viewed, what goes with their cart, and what they looked at last.
Choose how much each one counts.
Mix this product, their views and their cart. Your rules still hold, so sold-out products stay out and pinned products stay where you put them.
Preview it before you save.
See what a sample shopper would get, with their own cart and viewing history.
Live on Shopify in every plan, and on Centra and custom storefronts.
More than 'people also bought'.
Generic recommendations get ignored. Depict starts from what it knows on every visit, the product on the page, what the shopper has viewed and what's in their cart, and follows the logic you chose. No data science team or manual tagging required.
- Product on the page
- Viewed products
- Cart contents
Recommendation strategies
Product
Keep shoppers inside your brand and style.
AOV
Raise order value with upsells and cross-sells that fit.
Behaviour
Use what the shopper just did to show what's next.
Every strategy is a starting point, not a takeover. Manual Picks lets you hand-select any slot, and your pins and filters apply to every recommendation.
Platform capabilities
- Product page
- Cart
- Checkout
- Custom
Recommendations that scale.
An AI-enriched catalogue, merchandising rules, every market and store, and analytics that close the loop. The same foundations that power Depict search and collections.
Enriched catalogue.
Most engines call products 'similar' if they share a tag or category. Depict's AI reads every product image and description, so similarity means visual and stylistic similarity, not just shared metadata. Better pairs, with no manual tagging required.
Merchandising rules.
Each recommendation has its own controls. Pin what belongs, filter by price, collection or tag, and keep sold-out products out.
Multi-market & multi-store.
Tailor recommendations per market, language and store. Each audience gets locally relevant suggestions without maintaining separate configurations.
Analytics.
See which strategies drive revenue, which placements convert and where shoppers drop off. Actionable data to keep every recommendation slot earning its real estate.
Built for scale, every day.
See Depict recommendations in action.
Book a 30-minute demo and see how an AI-enriched catalogue lifts every recommendation.