AI Learns from Sales and Refunds
Prime AI’s Size Finder continuously improves by learning from your real-world data. Every sale and every size-related return helps train the system to better understand how your products fit on different body types.
When customers return items due to sizing issues such as “too small” or “too large,” that information is fed back into the AI. Over time, our model adapts to your specific product catalogue, fit variations across collections, and even seasonal trends in shopper behaviour.
This dynamic feedback loop allows Prime AI to deliver increasingly precise size recommendations, tailored to how your customers actually experience fit.
Sales and refund data is one of several key data streams used by our system. Combined with other signals, such as body profile inputs, conversion outcomes, and product metadata – it powers a smarter, more context-aware sizing experience.

Why it matters
Fit accuracy improves over time, which means fewer returns, higher conversion rates, and more satisfied shoppers.
Because the AI is constantly learning from your own customers, it becomes better aligned with your brand’s fit profile, your product range, and your shopper segments – delivering long-term value that generic size tools can’t match.