MODULE — SIZE INTELLIGENCE

AI Size Recommendation

Most size recommendation tools rely on self-reported data and statistical averages. maketribe is different. Our AI size recommendation engine matches real, measured body dimensions to your specific garment data — accounting for fabric, cut, and brand-specific sizing — to deliver recommendations your customers actually trust.

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42%
fewer size-related returns
28%
conversion rate increase
94%
recommendation accuracy
KEY CAPABILITIES

How It Works

Real Measurements, Not Guesswork

Customers provide actual body measurements via smartphone scan — not height/weight estimates or subjective questions. This means recommendations based on facts, not assumptions.

Brand-Specific Garment Matching

Every brand sizes differently. Our AI learns your specific garment dimensions, accounting for fabric stretch, intended fit (slim, regular, relaxed), and production tolerances.

Confidence Scoring

Each recommendation comes with a fit confidence score. Customers see exactly how well each size matches their body, empowering informed purchase decisions.

Continuous Learning

The system improves with every purchase and return signal. Your size recommendations get more accurate over time as the AI learns from real-world fit outcomes.

Size-related returns cost fashion e-commerce billions annually — and the environmental cost is equally staggering. maketribe's AI size recommendation tackles the root cause: the gap between what customers think their size is and what actually fits. By bridging this gap with precision measurement data and intelligent garment matching, we help e-commerce brands reduce returns, increase customer satisfaction, and build the kind of trust that drives repeat purchases.

See virtual try-on in action

Experience AI size recommendation and virtual try-on in a personal live demo.

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