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.

Manufacturers in developed countries can no longer rely on lean management practices to stay profitable. They face increasing competition from plants in large emerging economies that are able to produce on a large scale at a lower cost, while still providing high quality. The way forward, the authors suggest, can be glimpsed from analyzing past winners of Europe's annual Industrial Excellence Award. Those companies have succeeded by using one or more of these strategies: (1) Leveraging data flows to integrate closely with supply chain partners. Germany's Schmitz Cargobull, for example, has become a leading trailer manufacturer by using sophisticated information technology to help customers monitor their vehicles. (2) Creating value downstream in other parts of the supply chain. One example is Markem-Imaje, a maker of industrial printers for coding products; the company adds value for customers by offering a variety of ancillary services. (3) Collaboratively designing manufacturing processes that can rapidly evolve to meet customers' needs. A prime example is ASML, which works closely with customers and suppliers to make innovations in production technology for the semiconductor industry. (4) Specializing in customized products. Focusing on small runs of custom-designed products has been an effective strategy for companies like BuS Elektronik and the Daimler Group's Smart car division.

Contrary to conventional wisdom, banking can be both fair and profitable--in fact, fairness can be a source of competitive advantage. The evidence for this claim comes from a segment of the financial services industry seldom associated with fairness: consumer credit. The reputation of this business--which encompasses credit cards, personal loans, payday advances, and so on--is so questionable that any claims of "fairness" are viewed by customers with extreme skepticism. But TeamBank, a subsidiary of the German Volksbanken Raiffeisenbanken banking group, has successfully developed a brand that transforms the fuzzy concept of fairness into a visible and credible set of product characteristics and operating processes. Overhauling its central offering, easyCredit, involved significant organizational change and the strength of mind to reject profitable products and features inconsistent with the company's core value: "We are an honorable merchant." Product developments included offering a 30-day customer retraction period, making repayment insurance optional rather than mandatory, eliminating the penalty on partial repayments, and even offering a "protection package" that would consider changes in a customer's circumstances, such as illness or loss of a job. TeamBank addressed concerns about the new strategy by providing extensive training to employees and partners and adopted an unusual catalytic device for values-driven innovation--a scale model town symbolizing the brand.