RML TEAM

Founded by a team of passionate data scientists, engineers, With backgrounds in machine learning, predictive analytics, and a deep understanding of the e-commerce landscape

ReturnML was born out of a shared commitment to address an issue that affects online retailers - Product Return. We realized that by harnessing the potential of machine learning, we could help e- commerce businesses significantly reduce product returns, increase customer satisfaction, and optimize their bottom line.

Given online retailers desire to prevent returns before they occur, we have developed a cutting-edge machine learning model that predicts the likelihood of product returns during the checkout process, specifically on the shopping cart page. Our model considers a range of factors, from user behavior to cart contents, to provide a return probability score.

With this predictive power, retailers can take various actions to manage returns effectively, from personalized shipping charges to non-returnable product options. Our solution provides a new level of control, helping retailers optimize their processes and improve their bottom line.
An API connects you to our service in the cloud that fetches the return probability score of every item in a customer’s cart. You can use these scores and take appropriate actions (e.g., offer tailored promotions, display notifications, or adjust shipping options) based on the return risk level.)