Product recommendations
Recommendations that follow the ask
Customers describe what they want in their own words. Ustam finds matching products from your real catalog—guided by the conversation and, on your storefront, what they have been looking at—not a generic “you may also like” list.
How it works
- 1
The customer describes the need in their own words
For example: “I need a black multi-compartment bag I can wear on the shoulder or crossbody, with a separate spot for my gym shoes. No leather.”
- 2
Ustam weighs intent against your products and store knowledge
Ustam evaluates the customer’s intent and needs together with your product and store information, then recommends the best matches. Suggestions come from your live Shopify catalog, not a fixed shortlist.
- 3
The customer sees options in chat
Matching products appear in the conversation so the customer can compare and keep shopping.
What you get
- Recommendations based on what the customer actually asked for
- Browsing context on website chat when they have been exploring your store
- Product cards in chat instead of vague text-only tips
Suggestions use the chat and recent browsing on your store—not a full purchase-history CRM. Website chat has the richest browsing context.