Use case

Recommendations that respect stock, fit, and policy

A use case for product matching, alternatives, bundles, and guided selling from store-owned context.

Product process

Recommendations that respect stock, fit, and policy in motion

The motion panel shows the operating loop; the board beside it changes by product, use case, or resource.

QuestionSourcesAnswerApproval

Recommendations that respect stock, fit, and policy workflow board example

Illustrative flow

Recommendations that respect stock, fit, and policy in motion

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.

Product attributesVariantsInventoryReviewsPolicy notes

Interactive example follows the customer moment for this route.

Recommendations that respect stock, fit, and policy workflow board

01Customer moment
02Needed sources
03Safe response
04Next owner

Use the board to see what changes on this route before scanning.

Illustrative response path

Recommend with source context

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

What your team can actually use.

01

Customer moment

Built for stores where a better recommendation can save a sale or prevent a bad fit.

02

Source plan

Use product attributes, variants, inventory, price, margin rules, fit guidance, and past questions.

03

Control model

Recommendations explain their basis and avoid unsupported claims or unapproved offers.

04

Measure it

Measure recommendation click-through, add-to-cart assist, return reduction, and fallback reasons.

Operating workflow

Source. Answer. Action.

Start with the customer question, check the right source, and put the next decision with its owner.

01Map the customer momentBuilt for stores where a better recommendation can save a sale or prevent a bad fit.
02Connect the truth sourceUse product attributes, variants, inventory, price, margin rules, fit guidance, and past questions.
03Run the guarded responseRecommendations explain their basis and avoid unsupported claims or unapproved offers.
04Measure before expandingMeasure recommendation click-through, add-to-cart assist, return reduction, and fallback reasons.

Related pages

Explore what comes next.

Back to homepage