eCommerce - FASHION
Personalized Sizing That Fits Every Shopper
goal
Challenge Faced
Inconsistent sizing across brands and regions is a major cause of returns and poor customer experience. Traditional size charts often fail to meet individual needs.
solution
Our Solution
We developed an AI-driven size and fit engine that analyzes past purchase data, body shape, and brand-specific measurements to recommend the perfect size for each shopper.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect user height, weight, and style preferences.
Step 2
Analyze order history and return patterns.
Step 3
Apply AI matching with brand sizing datasets.
Step 4
Display recommended size during checkout.
Quantifiable Benefits
Reduction in return rates from size mismatches
0
%
Faster purchase decisions
0
%
Increase in repeat buyers
0
%
Improved customer trust in brand consistency
0
%
Who’s Using This
Global fashion marketplaces with multi-brand catalogs
Sportswear and footwear companies
Apparel startups targeting personalized shopping
Why It Matters
Personalized fit recommendations improve the buyer journey and reduce the costly cycle of shipping, returns, and replacements.