SAIZ ‑ size & fit recommender

Develop by SAIZ

Built for Shopify

Free plan available

Instant & accurate size recommendation for fashion products

Advanced analytics

Instant size recommendation

Ai powered sizing

Customer-product match

Fit consistency

Size optimization

About SAIZ ‑ size & fit recommender

Launched May 19, 2022

Built by SAIZ

Email :

[email protected]

Address

Nostitzstrasse, 23, Berlin, 10961, DE

Website Privacy policy

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Introduction Video

Description

Reduce returns & increase conversions by recommending your customers the right size.

SAIZ is an AI powered sizing solution that helps fashion brands recommend the right size for each individual product to each customer. Through the 1:1 match between product and customer, a highly accurate match between the two is made. Advanced analytics into that product-customer relationship allows brands to identify optimization potential to create even better fitting products for their actual customer base. No more guess-work when it comes to grading or sizing splits.

Help your customers choose the right size when shopping with you.
Reduce returns based on a 1:1 match between your customers and your products.
Fit consistency across all products: learn from your best and worst performers.
Know what your customers look like and which sizes they shop & return.
Make your customers your fit model.

Pros

Provides instant and accurate size recommendations, improving customer satisfaction
Utilizes AI to create a 1:1 match between product and customer for high accuracy
Helps reduce returns by recommending the right size, saving costs for retailers
Offers advanced analytics to help brands optimize their products for better fitting
Improves fit consistency across all products, enhancing brand reliability
Provides insights into customer preferences and buying behavior
Enables customers to act as fit models, improving personalization

Cons

May require integration and setup effort for brands to implement effectively
Relies on the accuracy of original product data and customer information
Could be less effective for products with complex sizing or fit preferences
Potential privacy concerns over handling customer data, depending on implementation