Product matching for retail

Know what each customer needs before they ask.

Fewture matches your product catalogue to individual customer profiles in real time. Less friction at checkout. More of the right products in each basket.

How it works

01

Connect any storefront

Shopify stores sync via webhooks — new products appear automatically. Any other storefront gets a one-script embed: paste a tag, no build step, no framework dependency.

02

Define customer profiles

Tell Fewture what matters for your vertical: age, breed, skin type, dietary needs. You control the signals. We score against them.

03

Get matched products

Pass a profile at checkout, quiz completion, or subscription renewal. Fewture returns a curated, ranked basket in under 300ms.

dashboard.fewture.com/dashboard/simulator

Simulator

Store Simulator

Customer profile

Pet typeDog
BreedLabrador Retriever
Age4 years
AllergiesChicken, Grains
Weight32 kg

Matched products

Salmon & Sweet Potato Adult Large BreedTop match
96
Royal Canin Labrador Adult
88
Natural Joint Support — Large Breed
79
Fish & Rice Sensitive Digestion
71

277 products evaluated · 12ms

Verticals

One engine.
Every category.

Verticals are schema-driven. Adding a new category takes a JSON definition, not a new integration.

Pet carebreed, age, weight, allergens, activity level
Babyage in months, feeding type, skin sensitivity, allergens
Home goodsroom size, style preference, material tolerance
Beautyskin type, concerns, ingredient exclusions
Supplementshealth goals, dietary restrictions, sensitivities

Built for production

01

Real-time catalogue sync

Shopify webhooks keep your product data current. Matching always runs on live inventory — no stale cache, no manual refresh.

02

Tunable match weights

Weight each signal differently: breed fit, allergen safety, age range. Adjust from the admin UI, no deploy required.

03

A/B weight experiments

Run two scoring configurations simultaneously with configurable traffic splits. Compare AOV, conversion, and basket composition.

04

Multi-tenant by design

One instance, many stores. Each merchant has isolated catalogue data, independent weight configs, and per-tenant team access.

05

AI-assisted cataloguing

Select products, generate LLM tag suggestions, review per attribute, accept or override. Accuracy is tracked over time so the signal improves as you use it.

06

Embeddable widget

One script tag. The recommendation widget runs in a Shadow DOM — no React, no build step. Brand colours and fonts load from your merchant config at mount time.

Ready to see it on your catalogue?

Try a live match against a real catalogue now, or book a session and we'll run it against yours.