Zee Sale · Use case
Recommend products based on behavior
Behavioral recommendations blend history, similarity, and inventory reality. They fail when they ignore stock, seasonality, or that the shopper is buying a gift.
Signals beyond last click
Orders, browse depth, wishlists, and returns all teach different lessons. Weight recent intent higher but decay old behavior so you do not trap customers in yesterday’s aesthetic.
Cold-start shoppers need safe bestsellers, not long-tail SKUs with no reviews.
Transparency builds trust
When suggesting “similar items,” say why—material, use case, price band. Opaque black boxes frustrate buyers who feel pigeonholed.
Offer a quick “not for me” signal to re-rank without forcing a lecture.
Omnichannel memory
Zellio unifies signals from site chat, social DMs, and past purchases so recommendations do not reset per channel.
Recommendations should feel curious, not creepy. Anchor them in products you can ship tomorrow and policies you can defend.
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More scenarios you can enable with the same stack.