谄媚于人 发表于 2025-3-25 06:47:10
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ConclusionThis chapter highlights three forces that will shape the future of retail: competition between big and small companies, increasing importance of environmental awareness, and algorithms learning to cooperate. This leads to the conclusion that tomorrow’s retailer will have to learn how to combine the numerical with the intuitive.adipose-tissue 发表于 2025-3-25 19:53:54
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.高兴一回 发表于 2025-3-25 23:38:26
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.抗体 发表于 2025-3-26 01:02:42
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Sachin Kumar,Rajesh K. Sani,Y. K. Yadavntal effects, and inflated transaction costs. A big part of this is overpackaging and fast shipping. Customer is king however, and the trend toward more and more online buying is unlikely to reverse. This chapter discusses a data-driven way in which both the environmental impact and the costs associLumbar-Stenosis 发表于 2025-3-26 09:19:19
What’s the Transmission Content in eMobilityts outs the broad lines, these models are the precision instruments that allow for the identification of specific individuals. The focus of the chapter is on what a retailer can do with these models, rather than on the technical workings of such models.maverick 发表于 2025-3-26 13:05:28
http://reply.papertrans.cn/27/2634/263338/263338_29.pngInjunction 发表于 2025-3-26 19:10:36
https://doi.org/10.1007/978-3-031-12962-9Retail; Data analytics; Machine learning; Customer relationship management; Data warehousing; Pricing; Mar