Give Shopify shoppers better help at the size selector.

Your product page already does the hard work: the image, the styling, the description, the desire. Then the customer reaches the size selector. Zizr adds personal size guidance to that moment, directly on your Shopify product pages, without asking shoppers for weight, body photos or measurements. No mapping sheets. No manual data formatting. No exports from PIM, ERP or backend systems before you can begin. Zizr handles the product and catalogue structuring needed for the recommendation layer.

Zizr recommendation shown near the size selector on a Shopify product page.

Start fast, without turning sizing into a project.

For Shopify stores, Zizr is designed to get personal size guidance onto the product page with a practical setup path and a clear launch review. Your team does not need to fill out mapping templates, reformat product data or prepare manual exports from PIM, ERP or other internal systems. Zizr handles the product and catalogue structuring needed for the recommendation layer.

01

Install Zizr

Start from the Shopify app path and connect Zizr to your store.

02

Let Zizr handle the product context

Zizr reads product and catalogue signals such as category, variants, cut, fit and item-level differences. No mapping sheet or manual data cleanup is required from your store team.

03

Publish where shoppers decide

Place the recommendation close to the size selector, so help appears exactly where the customer needs it.

Shopify is the fastest start. Not the limit.

Zizr is built for fashion retail, not for one storefront stack. Shopify stores can start quickly. Stores on other platforms can connect through the route that fits their catalogue, product pages and data setup. The important part: Zizr is designed to reduce work for the retailer. We do not ask your team to become sizing-data specialists before you can launch.

Shopify app path

The simplest route for fashion and footwear stores that want product-page recommendations without a long technical project, mapping exercise or manual data preparation.

Integrations and custom setup

For larger catalogues or custom platforms, Zizr can review product data, API needs, storefront placement and launch scope without asking your team to manually restructure data first.

Personal guidance, built from product reality.

The shopper sees a simple recommendation. Behind it, Zizr accounts for the fact that fashion does not fit by brand average alone. Unlike manual sizing projects, Zizr is built to handle messy product reality: different naming, different variant structures, different systems and different levels of product detail.

01

Understand the item

A blazer, dress, jeans and shoe all create different size questions. Zizr starts with the actual product and structures the signals needed for guidance.

02

Avoid manual retailer work

No mapping spreadsheets. No manual size logic. No special formatting work before you can begin.

03

Avoid intrusive body data

Customers should not have to share weight, upload body photos or measure themselves to get help choosing size.

04

Recommend on the product page

The recommendation appears where the shopper is already deciding, close to the size selector.

05

Improve over time

As product and fit signals mature, recommendations can become more useful for the store and the shopper.

A calmer size choice for your customers.

Zizr makes size guidance feel like part of the shopping experience, not a separate task.

No weight

Customers do not need to share their weight to get size guidance.

No body photos

No photo upload. No body scanning. No awkward moment in the buying journey.

No measuring tape

The customer can keep shopping without stopping to measure themselves.

Guidance where size is chosen

The recommendation appears on the product page, close to the size selector and add-to-cart decision.

Because the best product pages should also help customers choose.

Every product page is a promise. The images, copy and styling create desire. The size selector should not break that feeling. Zizr helps Shopify stores make the final choice clearer, more personal and more respectful, without asking the store team to manage another manual data process.

Better customer experience

Give shoppers useful help without sending them away to compare charts or start a measurement flow.

SKU-level precision

Recommendations can vary by item, even within the same brand, because products fit differently.

No manual sizing project

Zizr is designed to work from your store and product context without asking your team to prepare mapping sheets, reformat data or export files from internal systems.

More responsible shopping

When customers choose with more confidence, stores can support more considered purchases and reduce unnecessary movement of goods over time.

Why retailers choose Zizr

Shopify-ready

Start fast on Shopify, with room for broader commerce setups.

Product-level guidance

The right size can change by item, even within the same brand.

Privacy-respecting

No weight. No body photos. No measuring tape.

Shopify FAQ

How fast can we launch on Shopify?

Shopify is the fastest route to start. Exact timing depends on your theme, catalogue and launch review, but the app path is designed to avoid a long custom project.

Do we need to prepare product data manually?

No. Zizr is designed to avoid manual setup work for the retailer. Your team does not need to fill out mapping sheets, reformat product data or export files from PIM, ERP or backend systems before getting started. Zizr handles the product and catalogue structuring needed for the recommendation layer.

Does Zizr work outside Shopify?

Yes. Shopify is the fastest start for many stores, but Zizr can also support other ecommerce stacks through integrations, API or custom setup.

Do shoppers need to create an account?

No. Zizr is designed to support product-page recommendations without forcing shoppers into an account flow.

Does Zizr ask for weight or photos?

No. Zizr avoids weight, body photos, measuring tape steps and intrusive body questions.

Can recommendations differ between products in the same brand?

Yes. Recommendations can vary by item because category, model, cut, fabric and fit behaviour can differ, even within the same brand.

What data does Zizr need?

Zizr starts with product and catalogue context, then reviews the signals available in your store and product pages.

How does Zizr handle privacy?

Zizr is built around privacy-respecting guidance and GDPR-aware implementation practices. The shopper experience avoids weight and body photos.

Give Shopify shoppers better help before they choose.

Start with the Shopify app, without turning sizing into a manual data project. Zizr handles the setup work needed to bring personal size guidance closer to your product pages, size selector and customer journey.