Titlebook: Data-driven Retailing; A Non-technical Prac Louis-Philippe Kerkhove Book 2022 The Editor(s) (if applicable) and The Author(s), under exclus

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Yang Leng,Ziren Wei,Tailai Wang,Dongsheng Yumain where most data-driven solutions operate is discussed. Next, the major pricing challenges are introduced by discussing the goals that are pursued by a retailer under specific conditions. Later chapters go into more depth as to how these goals can be achieved in practice.

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B. A. Almesbahi,Zheng Liu,Guofeng Ling to change. Prices change over time, depending on circumstances and perhaps also depending on who is making the purchase. This chapter provides an introduction on how data-driven decision-making can be used to improve prices and consequently retailer profits.

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Sachin Kumar,Rajesh K. Sani,Y. K. Yadave improved using data-driven decision-making. Both permanent price reductions (markdowns) and temporary promotional discounts are discussed. The main focus is the former, as the markdown decision is often influenced less by the marketing objectives and can more easily be delegated to a data-driven algorithm.

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Managing Product Returnsre and more online buying is unlikely to reverse. This chapter discusses a data-driven way in which both the environmental impact and the costs associated with online retail can be reduced: preventing product returns.