AI SIZE CHART · WAITING LIST

An AI size chart that will recommend a size to each shopper.

Genlook will read each garment's measurements from your catalog. It will learn about the shopper from a photo, the brands they wear and the orders they kept. Then it will show one size on the product page, for example your size is M.

We open stores in batches. Send your store URL and we will tell you which batch you are in.

One recommended sizeNo measuring neededPlanned for most platforms
Size finderOversized cotton shirt
The photo a shopper uploadsFrom her photoBuild and proportions, without measuring
Usually wearsM at a brand we know
PrefersA relaxed fit
✳ Her size: MThis cut runs large, so M rather than her usual L.
Chart · chestS 94M 100L 106XL 112cm

01 · The problem

Size charts leave shoppers to work out their own size.

Most product pages already have a size chart, and shoppers still order two sizes. A table asks the shopper to measure themselves, convert units and guess how much room the cut leaves. Few shoppers do this on a phone with a cart open.

Read about bracketing →
Most stores already have a size chartIt usually sits behind a link, and few shoppers open it.
Shoppers rarely know their measurementsSize charts assume the shopper knows their measurements. Many shoppers do not have a tape measure at hand.
Shoppers order two sizes and return oneThis is called bracketing. The shopper tries both sizes at home and sends one back, and the return usually costs you.

02 · On the product page

The recommended size will appear next to your size options.

Shoppers will not need to open a popup or a separate chart page. The recommendation will appear above the add to cart button in your theme's fonts.

demo.genlook.app/products/green-sport-tee-short-sleeve
Green Sport Tee

MAISON RUE

Green Sport Tee

€24.90

Size

SMLXL

✳Your size is M. This cut runs large.

Add to bag
Genlook adds the size recommendation. Everything else on the page is your theme.

Shown with the size options

The recommendation will appear next to the size buttons the shopper already uses.

Uses your theme's styling

It will install without changes to your theme code. The recommendation uses your storefront's fonts and colors.

Shows your store's name

The size finder will be white-label. It will show your store's name instead of Genlook's.

03 · Inputs

Five inputs about the shopper and the garment.

The size finder will work with whatever information the shopper chooses to give. One input can be enough for a recommendation. Each extra input is added to the same estimate.

PHOTOFrom their photoIt will estimate the shopper's build and proportions from the photo they upload for a try-on. The shopper does not need to enter any measurements.
WARDROBEFrom what they already wearThe shopper can pick a size they wear in a brand we know. This ties the estimate to a real garment instead of an average body. It takes one dropdown.
ORDERSFrom your order historyIt will use the sizes this shopper kept and the ones they returned. New orders are added to the estimate as they come in, and the order data stays in your store.
FITFrom how they want it to sitThe shopper chooses a close, regular or oversized fit. The same person can need a different size depending on that choice, and the garment chart records how much room each cut has.
TAPEFrom measurements, if the shopper adds themShoppers can enter their measurements if they want to. Measurements are optional.
ANSWER
✳ Recommended size: MThis cut runs large, so we recommend M instead of the usual L. The recommendation combines all five inputs.

04 · The recommendation

One recommended size with a short reason.

Genlook will explain each recommendation in one sentence. The shopper can read the reason and pick a different size if they know better.

One size to add to the cartThe shopper sees a single size instead of a range or a table to interpret.
A one-line reason"This cut runs large, so M rather than your usual L."
Advice between two sizesWhen the shopper is between two sizes, it will say so and suggest which one to choose for the fit they asked for.
No guess when data is missingIf a product page has too little information, the size finder will give a cautious answer or no recommendation at all.

05 · Garment charts

Genlook builds a size chart for each product.

Each recommendation needs real garment measurements. Genlook will build a chart for each product from the catalog data you already publish.

One chart per product

Two cuts with the same label size get separate charts, because they can fit differently.

Built from your catalog

It will use your titles, descriptions, variant options, supplier sheets and photos. You don't need to write anything new.

You can edit each chart

When you change a measurement, every recommendation that uses it updates. Shoppers who prefer a table can still read the chart.

06 · Alongside try-on

Try-on and size recommendations from the same photo.

Virtual try-on shows shoppers how a piece looks on them. The size finder will recommend which size to order. Both will use the same photo upload and the same consent.

07 · Platforms

Planned for the platform you already use.

The size finder will run on the same store platform as the rest of Genlook. If we can read your catalog, we can build the charts and show recommendations on your store.

ShopifyWooCommercePrestaShopShoplineBigCommerceMagentoWixCustom stack, via API

Tell us yours on the waiting list form and we will confirm what the first batch supports.

08 · Waiting list

Put your store in the first batch.

Leave your email and your store URL. We will review your catalog, check how much product data it has for size recommendations, and tell you which batch you are in.

We open stores in batches. Send your store URL and we will tell you which batch you are in.

Other names for this tool

Merchants look for this kind of tool as a size chart app, size guide, fit finder or size recommendation software. If you only need a static table today, our free size chart generator builds one in a minute, and the size chart glossary entry covers the basics.

Size chart appSize guideFit finderSize recommendation

FAQ

Questions about the AI size chart

Everything else is in the docs, or ask us directly at hello@genlook.app.

When does it launch?
We will open stores in batches, so recommendations can be checked against real catalogs and real returns first. We have not set a date yet. Join the list and we will tell you which batch your store is in.
Is this a size chart app for Shopify?
Yes. It is planned as a size chart app for Shopify, WooCommerce, PrestaShop, Shopline, BigCommerce, Magento and Wix, with an API for custom storefronts. The waiting list form accepts any platform.
How is this different from a size chart generator?
A generator gives you a static table to paste on the page; our free size chart generator does that. The AI size chart will build a chart for each product automatically and then recommend one size to each shopper, with a short reason.
Does the shopper have to upload a photo?
No. A photo is one of five inputs. Shoppers can also give a size they wear in a brand we know, or their fit preference. Shoppers who already uploaded a photo for a try-on can reuse it, with their consent.
How accurate can it be without measurements?
We are still testing accuracy on real catalogs, so we do not quote a figure yet. The size finder will show how confident it is, and it will not recommend a size when a product page has too little information.
What if a recommendation is wrong?
The shopper can always pick a different size, and the reason is shown to help them decide. You can correct a garment's measurements, which updates every recommendation that uses them. Returns will also be added to the estimate.
Do I need the virtual try-on app to use it?
No. The size finder will work on its own. If you already use Genlook try-on, the two will share the same photo, the same consent and the same dashboard.
What happens to shopper photos and data?
Photos will be used to estimate body proportions and will follow the same retention and consent rules as try-on photos. They are encrypted, deleted after 7 days and never used to train AI models. Order history stays in your store. See our Privacy Policy for the details.

Still have questions?

Join the AI size chart waiting list.

Send your store URL. We will tell you how well your catalog data can support size recommendations.