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.

Book a demonstration How it works

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

What it solves

A clear benefit at every purchase decision.

Customers provide the requested data and receive a size recommendation based on the product’s size chart.

Required information

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.

The store structures the fit

Products and grids are configured for the experience.
The customer answers

Customers provide only the information needed for the recommendation.
A size is suggested

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

Plan your experience

Start with what your store needs

During the demonstration, we define the categories, required data, integration, experience limits, and review steps.

Talk to a specialist

Frequently asked questions

What you need to know.

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?

Required information varies by brand and category. During the demonstration, you can review the form recommended for your store.

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