FitKitCheck

FitKitCheck is a mobile + web app that helps shoppers predict activewear fit and return risk using a quick body profile and brand-specific sizing intelligence. Users enter a few measurements (or scan with the phone camera), select a brand/item, and get a fit score (tight/true/loose), stretch tolerance, and recommended size with confidence level. The app learns from real outcomes: users confirm what they bought, how it fit after a workout, and whether they returned it. Over time it builds a practical “fit map” per brand and product line (leggings, sports bras, compression tops), including fabric notes like sheerness and waistband roll-down. Monetization is realistic: affiliate links + retailer integrations, plus a lightweight premium tier for advanced comparisons and wardrobe tracking. This is an AI + traditional app: AI for prediction, traditional for commerce and data capture.