AI & Returns Technology

AI can help with condition assessment of returned items, dynamic return policy rules, predicting which products are likely to be returned, identifying serial returners and bracketing behaviour, and feeding return data back into product and sizing improvements. Swap's Agentic Storefront also helps reduce returns upfront through better sizing, fit guidance, and virtual try-on.

AI can reduce your ecommerce return rate by identifying products with disproportionately high return rates (often due to poor sizing guides or inaccurate descriptions), detecting fraudulent return patterns, and personalising exchange offers based on return reason. Swap's returns data engine surfaces these insights automatically, helping brands make product and policy improvements that reduce return volume over time.

AI is typically used to reduce support workload and speed up resolutions—for example, by automatically answering “where is my return / refund?” questions, routing returns based on rules, and surfacing insights from returns data. With Swap Returns, teams can also use the Gorgias AI Agent integration to pull live Swap return data and auto‑reply to customers about return status, courier, tracking, and refund progress (read‑only).