By 2021 Zalando had become Europe's largest pure player in online fashion. But the road to success had not always been smooth. Back in 2014, six years after it was founded, the Germany-based company was at a crossroads. With an impending initial public offering (IPO) and investors looking for results, the company was nowhere near being profitable. Zalando realized that to achieve profitability and market leadership, it would have to leverage advanced technology and develop a data-driven supply chain. So, with the innovative spirit of a start-up, it embraced the challenge of building internal digital tools and competencies to drive supply chain efficiencies. The online fashion supply chain had to wrestle with the same challenges of tight margins and high customer expectations familiar to all online retailers. However, the fashion industry faced other unique challenges - high SKU counts, high seasonality, relentless product turnover and frighteningly elevated return rates. By developing proprietary systems and machine learning tools, Zalando developed a responsive, flexible distribution network, trustworthy order promises and a sophisticated, holistic approach to returns management. Through a data-driven journey born out of a crisis, Zalando discovered that these capabilities not only delivered supply chain excellence and pioneering new innovative techniques but also helped to fulfill the company's vision of providing endless choice, seamless convenience and a tailored digital experience to millions of customers across Europe.

Product returns are both a challenge and an opportunity for most retailers, since more than US$640 billion in revenue is lost each year because of preventable product returns. A major impediment to unlocking the full potential of these returns is the firm's returns management program: the policies governing the customer-firm exchange process. Recent insights from research and practice have yielded the unprecedented opportunity to open the "black box" of developing effective programs. Yet, such development must address three main questions: What types of returns management programs exist? What misunderstandings impede returns management effectiveness? How can retailers develop effective programs? This article distinguishes among different types of returns management programs and discusses the managerial misunderstandings that reduce their effectiveness. It presents a framework for developing, implementing, and controlling effective programs that allow retailers to boost sales, reduce returns, and increase profitability.