Balancing Customer Experience And Cost During Returns’ Biggest Season

Returns technology is an emerging and highly successful strategy that enables retailers to strike a difficult balance between preventing fraud, elevating returns, and machine learning. Fraud and abuse algorithms can identify risky customer behaviors and limit returns options, while loyal customers can be rewarded with extended return windows and other incentives. Additionally, machine learning can help retailers automate returns processes, such as processing and shipping, to reduce costs and improve customer experience.