Most personalization tools optimize for clicks by default. That can mean pushing low-margin products, items that are nearly out of stock or the same bestsellers to everyone. The shopper sees something relevant, but the business does not always benefit.
We set up AI merchandising that balances what each shopper is likely to want with what you want to sell, and we keep your merchandisers in control of the rules.
What we set up
- Search and collection ranking. Results ordered by relevance, behaviour, margin and stock together.
- Recommendations. Related, complementary and recently viewed products placed where they help.
- Bundles. Product pairings suggested from real purchase data and approved by your team.
- Segments. Different experiences for new, returning, wholesale or high-value customers.
- Merchandiser controls. Pins, boosts and exclusions for launches, campaigns and clearance.
Measured properly
Every change is tested against a control so you know what it is worth. We usually build on search and discovery tools such as Algolia and track results in your analytics. This work sits within our conversion rate optimization service and depends on clean data from product data enrichment.
