How It Works
Fit-Aware Recommendations
Every suggestion is validated against the customer's body measurements. Recommended items aren't just stylistically compatible — they're confirmed to fit, removing the risk from impulse add-ons.
Complete Outfit Building
Suggest complementary items that work together as an outfit. A customer buying a blazer sees matching trousers, shirts, and accessories — all in their size, all in a compatible style.
Body-Type Styling
Recommendations adapt to individual body proportions. Our AI understands which cuts, silhouettes, and proportions work best for each customer, delivering suggestions that genuinely flatter.
Revenue Impact Analytics
Track the direct revenue impact of style recommendations. See how cross-sell acceptance rates, average order values, and repeat purchase behavior improve over time.
Cross-selling in fashion e-commerce typically relies on visual similarity or purchase correlation — neither of which guarantees the recommended item will fit. maketribe's approach is fundamentally different: every recommendation is validated against the customer's real body data. This means higher acceptance rates, fewer returns on recommended items, and an average order value increase that compounds with every interaction.