Sizing · Decision

A recommendation tied to the product’s real grid

Combine the data requested by the brand with the configured fit to suggest the most compatible size.

Screen recommending size M for an Approve product — Live size recommendation at Approve

What it solves

A clear role in the bigger journey.

The recommendation reduces the work of interpreting a chart: customers provide the requested data and receive an explained option within the journey.

Configured questions

The store defines the data required by the experience.

Grid as the reference

The suggestion depends on the configured fit.

Visual next step

The recommendation can become the anchor for comparison.

How it works

From context to the next step.

Products and grids are configured for the experience.
The interface collects only the data defined for the recommendation.
The customer receives a recommendation and chooses how to continue.

Best fit

Who this experience is for

Products with recurring sizing questions
Brands with proprietary fits
Operations that guide customers before visual try-on

Before the pilot

The scope needs to be true

The commercial demonstration confirms categories, inputs, integration, review responsibility, limits, and the next step. This page does not replace the technical design.

Design the scope

Frequently asked questions

What the page needs to make clear.

Is a recommendation a fit guarantee?

No. The recommendation uses the available data and fit to guide the choice. Personal preferences, manufacturing variation, and fabric characteristics still affect fit.

What data does the customer need to provide?

Fields depend on the brand and category configuration. The commercial demonstration should show the form that applies to the project.

Keep exploring