← Back to Changelog
Replenish Recommendations Are Live
Replenish recommends products a shopper bought before and is due to buy again, like coffee, skincare, or filters. It works from purchase history you send in the request context, no product tagging or manual cadence setup required.
Layers learns each product's reorder timing from the shopper's own repurchase pattern first, then a store-wide interval from repeat customers, then a selling plan's cadence. Three new config keys let you tune how early or late a product counts as due.