Tuned to every customer. Rooted in your brand.
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Most recommendation engines feel generic and shoppers ignore them. Depict reads every product with AI, picks the right strategy mix per shopper, and shares one set of merchandising rules with search and collections, so every recommendation slot earns its real estate.
HeadlessMore than ‘people also bought’.
Generic recommendations get ignored. Depict reads dozens of shopper signals on every visit, picks the right strategy mix for the context, product page, cart, returning visit, and surfaces results that feel hand-picked. No data science team or manual tagging required.
- Browse history
- Cart contents
- Search queries
- Session duration
- Location
- Time of day
Recommendation strategies
Product
AOV
Behaviour
Platform capabilities
- Product page
- Cart
- Checkout
- Custom
Recommendations that scale.
An AI-enriched catalogue, global 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.
Most setups need a separate merchandising config per surface, one for search, one for recs, one for collections. Depict applies the same global push, bury and pin rules everywhere. Edit once, take effect across every touchpoint.
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.
See Depict recommendations in action.
Book a 30-minute demo and see how an AI-enriched catalogue lifts every recommendation.