Think of this as a smart shop assistant built into your online store that quietly watches what each shopper does and then rearranges the shelves, product lists, and offers in real time so each person sees the items they’re most likely to buy.
Traditional ecommerce shows mostly the same products to everyone, leading to low conversion, weak cross‑sell, and generic experiences. This solution plugs AI‑driven personalization into SAP Commerce Cloud to tailor product recommendations, search results, and content per shopper, increasing conversion and basket size without manually curating rules for every segment.
Tight integration with SAP Commerce Cloud data and workflows plus accumulated first‑party behavioral data from the merchant’s site, which can be used to continuously refine personalization models and make switching costs higher.
Hybrid
Vector Search
Medium (Integration logic)
Real-time recommendation latency and the cost of updating personalization models or vector indexes as catalog and behavioral data change.
Early Majority
Positioned specifically as an AI personalization layer for SAP Commerce Cloud rather than a generic recommendation engine, leveraging native commerce data and workflows rather than requiring a full platform replacement.