What changed, in numbers
+300%
conversion rate
4–5×
retail media monetization
+20%
average order value
−25%
cart abandonment
Keyword search or AI search
Pick a shopper’s search, then compare what each kind of search returns.
Interactive demo with sample data, to show how the system behaves.
The problem
Shoppers could not find the right products fast enough, and retailers had little insight into which algorithms and placements actually sold.
What we built
An AI layer that understands shopper intent, personalises every step from impression to checkout, and reports performance down to SKU level.
The system, piece by piece
- Semantic search with transformer and vector embeddings that understands intent, not just keywords
- Context-aware recommendations from first impression to checkout
- Full-funnel tracking with SKU-level and algorithm-level drilldowns
- Retail media analytics in real time
- Product discovery up 70% and engagement up 40%
- Merchant onboarding time cut by 50%