Returns have become a trillion-dollar challenge for retailers, especially as e-commerce volumes surge and consumer expectations for seamless, no-hassle returns remain high. For many, the cost of returns is not just a logistical headache—it’s a direct threat to profitability. As the retail landscape evolves, minimizing both the frequency and cost of returns is now a strategic imperative for executives seeking to protect margins and drive operational efficiency.
Returns are more than a line item on the balance sheet. For some categories, such as apparel, return rates can reach 40-50% of orders. The costs are multifaceted: shipping, reverse logistics, restocking, potential markdowns, and the risk that returned goods may never be resold. Add to this the expectation for free or easy returns, and the margin impact is clear. In a climate where e-commerce profitability is already under pressure from rising shipping and fulfillment costs, unchecked returns can erode margins at an alarming rate.
Retailers must address returns on two fronts:
The best return is the one that never happens. Retailers can leverage data and technology to help customers make better purchase decisions upfront:
Even with the best digital experience, some returns are inevitable. The focus then shifts to optimizing the reverse logistics process and making smart decisions about how returns are handled:
Data is the backbone of any effective returns strategy. Retailers must break down silos and integrate data across channels—e-commerce, stores, supply chain, and customer service—to gain a holistic view of returns drivers and costs. Advanced analytics can:
While most retail leaders know what needs to be done to improve profitability, execution often lags due to organizational silos, legacy systems, and data complexity. Addressing the returns crisis requires cross-functional collaboration—merchandising, supply chain, technology, and customer service must work together to design and implement solutions.
Retailers that have invested in digital capabilities and data-driven operations are already seeing results. For example, leading big-box retailers have implemented micro-fulfillment centers and advanced analytics to optimize both outbound and reverse logistics. Others have experimented with AI-powered fit tools and dynamic return policies, reducing return rates and improving customer satisfaction.
Returns are not going away, but their impact on margins can be managed—and even turned into a competitive advantage. Retailers that:
will be best positioned to protect profitability and deliver a superior customer experience.
The returns crisis is a complex, multi-dimensional challenge, but with the right strategies and organizational focus, retailers can minimize margin erosion and build a more resilient, customer-centric business for the future.
Ready to transform your returns strategy? Publicis Sapient partners with leading retailers to design and implement data-driven solutions that protect margins and delight customers. Contact us to learn more about how we can help you solve the returns crisis.