Returns are one of the biggest drags on ecommerce margins and a persistent problem for retailers – but Loop believes returns can also be a source of growth. The post‑purchase platform has launched a new suite of tools designed to help retailers reduce returns, cut fraud and recover more revenue from exchanges and order changes.
Loop Intelligence – an AI engine trained on more than 200 million shoppers and 100 million returns – is at the heart of the new suite. Built specifically for ecommerce, it is designed to help retailers predict return volumes, identify high‑risk products and spot suspicious behaviour earlier.
Early results are positive
Loop says the system is already producing results. It reports that 90% of brands using its AI‑driven product recommendations have increased retained revenue by an average of 11%, while its fraud tools have identified more than £198m of refunds considered at risk.
“Every interaction that a brand has with a customer ultimately tells a story, and we analyse these moments every day,” said Hannah Bravo, CEO at Loop. “Post-purchase touchpoints such as exchanges, shipping, order edits and returns aren’t random. With Loop Intelligence we can turn these interactions into an intelligence layer, to help ecommerce businesses drive customer retention and provide sustainable growth.”
One of the most practical additions is Order Editing, now available globally. It allows customers to change delivery details, swap items, add products or cancel an order before fulfilment, without contacting customer service. Loop says early adopters have reduced return rates by up to 80%, while one in three order edits increased average order value.
Loop has also rolled out advanced, no‑code automation workflows across all plans, allowing retailers to tailor return policies, reduce unnecessary shipping and limit fraud. All features from the Spring 2026 launch are available now.
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