AI for Predicting and Reducing Returns

Returns are a normal part of e-commerce. They can reflect fit, inaccurate product details, damage, changed preferences, duplicate orders, delivery problems, or a gift that did not suit the recipient. AI systems can estimate return propensity at the item, order, or customer level and can help teams investigate recurring causes. Prediction is only the first step: reducing avoidable returns means fixing the cause without making legitimate returns harder. Research has explored machine-learning models that predict product-return likelihood and examine variables associated with returns. Such models are specific to their data, retailer, product categories, and outcome definition. A model trained on apparel may not transfer to electronics; an outcome labeled “returned” may combine fit problems with delivery failures. A high-risk score does not prove intent to abuse a policy, and it does not tell a business which intervention will help. The most useful signals are often operational and descriptive. Size-chart gaps may correlate with fit returns; packaging damage may follow a carrier or warehouse pattern; product photos may fail to show a key detail. Retailers should join returns to reason codes, customer feedback, product variants, inventory, and fulfillment records carefully. Unclear reason codes can turn noisy data into false conclusions. Avoid treating a customer’s past return as evidence that future purchases are suspicious. Test interventions against a credible baseline. Improve product dimensions, material descriptions, fit notes, or packaging, then measure return rate alongside conversion, customer satisfaction, and reasons for return. Segment evaluation by category and relevant groups to identify unequal errors. A risk model should support product and operations improvements, not automatically deny a sale or make returns costly. Explainable recommendations help staff see whether a signal points to a fix. The goal is a better match between product and expectation—not simply fewer returns at any cost.