01
Customer moment
Built for stores where a better recommendation can save a sale or prevent a bad fit.
A use case for product matching, alternatives, bundles, and guided selling from store-owned context.
Product process
The motion panel shows the operating loop; the board beside it changes by product, use case, or resource.
Recommendations that respect stock, fit, and policy workflow board example
Illustrative flow
Customer asks
Which product should I buy, is it available, and what happens if it is not the right fit?
Guided product choice
Best fit
Product attributes
Backup
Variants
Bundle
Inventory
Selected step
Question
Which product should I buy, is it available, and what happens if it is not the right fit?
Recommend with source context
Offer the best-fit option and explain the proof boundary before discounting or promising exceptions.
Interactive example follows the customer moment for this route.
Recommendations that respect stock, fit, and policy workflow board
Use the board to see what changes on this route before scanning.
Illustrative response path
aserva checks product attributes, variants, stock, reviews, and policy rules before it recommends or compares.
Offer the best-fit option and explain the proof boundary before discounting or promising exceptions.
Why this page matters
01
Built for stores where a better recommendation can save a sale or prevent a bad fit.
02
Use product attributes, variants, inventory, price, margin rules, fit guidance, and past questions.
03
Recommendations explain their basis and avoid unsupported claims or unapproved offers.
04
Measure recommendation click-through, add-to-cart assist, return reduction, and fallback reasons.
Operating workflow
Start with the customer question, check the right source, and put the next decision with its owner.
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