Titlebook: Retail Analytics; Integrated Forecasti Anna-Lena Sachs Book 2015 Springer International Publishing Switzerland 2015 Behavioral operations m

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Data-Driven Order Policies with Censored Demand and Substitution in Retailing,fraction of the demand that cannot be satisfied is shifted to the substitute. As a result, sales of the substitute are inflated by the additional demand. The amount of substituted demand as well as unobservable lost sales are estimated based on the timing of stockout events. Similarly to the model i

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Conclusions,nformation such as selling prices and the timing of sales occurrences can be leveraged to better align supply and demand with retail analytics. For this purpose, we have collected data from a large European retail chain. We develop several models to improve stocking decisions and to analyze decision

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0075-8442 -product newsvendor setting with an aggregated service level.This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven app

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Introduction,ion tons of food are wasted per year (Kranert et al. 2012). The large amount of discarded food not only represents a waste of natural resources but causes also a monetary loss to consumers and retailers.

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Empirical Newsvendor Decisions Under a Service Level Contract,turer. Further, we address the question whether the results of experimental studies from the laboratory can be transferred to real-world decisions. Our findings indicate that real decision makers show similar decision biases as students in laboratory environments.

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Data-Driven Order Policies with Censored Demand and Substitution in Retailing,ade-off between learning about substitution behavior from highly censored data versus learning about demand from little censored data, we find that more learning about substitution yields slightly better results in terms of profits.

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0075-8442 h the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data forbakery products..978-3-319-13304-1978-3-319-13305-8Series ISSN 0075-8442 Series E-ISSN 2196-9957

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