TY  - GEN
N2  - 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.
AB  - 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.
T1  - Retail analyticsintegrated forecasting and inventory management for perishable products in retailing /
AU  - Sachs, Anna-Lena,
VL  - 680
CN  - HD38.5
ID  - 724853
KW  - Business logistics
KW  - Retail trade
KW  - Retail trade
SN  - 9783319133058
SN  - 3319133055
TI  - Retail analyticsintegrated forecasting and inventory management for perishable products in retailing /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13305-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13305-8
ER  -