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ML - Size Chart Recommendation-1 by sr2005roy is a document available to read on EtoBox.

The document presents a novel AI-based sizing system for the apparel industry that utilizes clustering techniques to categorize users into 55 body type categories, significantly improving size recommendation accuracy from 18% to 90%. It introduces two types of size charts: a detailed body type chart and a simplified standard size chart, which enhance user satisfaction and reduce return rates. By incorporating user feedback and advanced algorithms, the system aims to create a more personalized and user-frien

Author
sr2005roy
Language
EN