Why is context the secret ingredient that separates good discovery from great discovery? Because what a shopper wants depends not just on who they are, but on where they are and when. Rappi, the Latin American delivery super-app, built discovery around exactly that — and reported a dramatic revenue lift.
The result: Rappi’s AI-powered product discovery drove a reported 147% revenue increase by surfacing contextually relevant products based on user behavior, location, and purchase patterns.
Context is the missing dimension#
Most personalization considers who the shopper is — their history, their tastes. Rappi’s super-app spans food, groceries, pharmacy, and retail, where context is just as decisive. A shopper at 8am wants different things than at 8pm; someone in one neighborhood has different options than someone across the city; a rainy evening shifts demand entirely. Discovery that ignores context surfaces technically-relevant-but-mistimed suggestions.
Rappi’s AI factors in behavior, location, and timing together, surfacing products that fit the shopper’s full situation. That contextual relevance is what drove the reported revenue gains — shoppers shown what they want right now, where they are convert far more readily.
How discovery AI works#
Discovery AI personalizes what shoppers see based on their profile and context. For a multi-category super-app, the context layer is decisive: it shapes the feed around the shopper’s moment, not just their history.
Three mechanics drive Rappi’s result. The engine reads real-time context — time of day, location, current behavior — so the feed fits the moment. It learns purchase patterns, recognizing routines and recurring needs to anticipate what the shopper wants. And it adapts across categories, surfacing relevant products whether the shopper is after dinner, groceries, or a pharmacy run.
Why contextual relevance compounds#
A 147% revenue lift reflects how much value sits in getting context right. The same shopper, shown the same product at the wrong moment, doesn’t convert; shown it at the right one, they do. Multiplying that across millions of sessions — each one timed and located correctly — is how contextual discovery produces outsized gains.
Context also builds habit. When the app reliably shows what a shopper wants at the moments they want it, it becomes the default they reach for. That recurring, anticipated relevance is the foundation of frequency and loyalty in a super-app — and it’s only possible when discovery understands the shopper’s situation, not just their identity.
What this means for your store#
Even a single-category store has context worth using — time, location, recency, season:
- Factor context — time of day, location, current behavior — into discovery, not just historical preferences.
- Learn recurring patterns to anticipate routine and replenishment needs.
- Adapt the feed to the shopper’s moment so suggestions feel timely, not just relevant.
Personalization answers “who is this shopper?” Context answers “what do they want right now?” The best discovery answers both.
Bring discovery AI to your store with CartAmplify#
CartAmplify brings the same kind of context-aware discovery that powers Rappi to any store — Shopify, dropshipping, or marketplace. Personalized, timely recommendations that match each shopper’s moment, not just their history.
Related reading#
- How Rappi Boosted Revenue with AI Search
- How Rappi’s AI Browsing Drove a 147% Revenue Lift
- How Wildberries’ AI Discovery Drove 60% Turnover Growth
The +147% figure is as reported in Rappi AI case studies. Results vary by catalog, traffic, and implementation.
