WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/2215758646

Retail analytics : integrated forecasting and inventory management for perishable products in retailing

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 s.

Open All Close All

type

about

http://schema.org/about

author

contributor

creator

description

http://schema.org/description

  • "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."
  • "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 s."@en

genre

http://schema.org/genre

  • "Electronic books"@en

name

http://schema.org/name

  • "Retail Analytics : integrated forecasting and inventory management for perishable products in retailing"
  • "Retail analytics integrated forecasting and inventory management for perishable products in retailing"
  • "Retail analytics : integrated forecasting and inventory management for perishable products in retailing"@en
  • "Retail analytics : integrated forecasting and inventory management for perishable products in retailing"
  • "Retail Analytics Integrated Forecasting and Inventory Management for Perishable Products in Retailing"@en
  • "Retail Analytics Integrated Forecasting and Inventory Management for Perishable Products in Retailing"
  • "Retail Analytics : Integrated Forecasting and Inventory Management for Perishable Products in Retailing"

workExample