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More about Retail Analytics

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Book synopsis

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 approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products.§

Book details

Book category Books in English Economics, finance, business & management Business & management Management & management techniques

• Full title: Retail Analytics
• Subtitle: Integrated Forecasting and Inventory Management for Perishable Products in Retailing
• Author: Anna-Lena Sachs
• Language: English
• Binding: Paperback
• Number of pages: 111
• EAN: 9783319133041
• ISBN: 3319133047
• ID: 09034259
• Publisher: Springer International Publishing AG
• Weight: 218 g
• Dimensions: 239 × 357 × 9 mm
• Date of publishing: 18. December 2014

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