SizeSense.ai Size Recommender

Name: SizeSense.ai Size Recommender Introduction Video
Uploaded: 2025-06-05T10:36:05Z
Duration: 1 min 33 s
Description: Precision size recommendations using expert algorithms for perfect clothing fit.

Develop by SizeSense

$9.99-$49.99

/ Month

Free plan available 14 Days Free Trial

Precision size recommendations using expert algorithms for perfect clothing fit.

Precision size algorithms

Body measurement alignment

Fabric elasticity consideration

Fit preference analysis

Size explanation details

Neighboring size information

Product-specific size charts

About SizeSense.ai Size Recommender

Launched Apr 13, 2025

Built by SizeSense

Address

13, Major Gortalov, Str, Sofia, 1606, BG

Website Privacy policy Tutorial FAQ

Claim Offer

Z Sticky Add To Cart Button

Claim Offer

Sponsored

Keep "Add to Cart" visible, boost conversions. No coding...

Introduction Video

Description

Aligns customer body measurements & shape with garment specs. Considers design & fabric elasticity.

After creating thousands of made-to-measure garments and building a deep understanding of fashion design, patternmaking, and running a brand, we decided to create our own size recommendation tool - because existing ones are inaccurate, offering generic and often wrong advice. We’ve translated our expertise into algorithms that let you offer precise size recommendations. If you already have your product size charts, we can help import them for you so you can start reducing returns SizeSense:

Aligns customers' body measurements with these of the clothing
Considers fabric ELASTICITY, clothing design, and customer preferences for fit
Explains to the customer why a specific size may or may not fit them
Informs customers if neighboring sizes suit a tighter or looser fit
Displays product-specific size charts next to your products for customers

Pros

Offers precision size recommendations using expert algorithms, similar to a master tailor.
Aligns customers' body measurements with those of the clothing for better accuracy.
Considers fabric elasticity, clothing design, and customer preferences for fit, increasing the likelihood of customer satisfaction.
Provides explanations to customers about why a specific size may or may not fit them, enhancing transparency and user trust.
Informs customers if neighboring sizes offer a tighter or looser fit, allowing for more informed purchase decisions.
Displays product-specific size charts next to products, aiding customers in making more confident choices.

Cons

Relies heavily on the accuracy of initial customer measurements, which may lead to errors if customers do not measure themselves correctly.
Complex algorithms may require a learning curve for both customers and retailers to understand fully.
Possibility of technical issues with integration into existing retail platforms, which could affect user experience.