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Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing

Download Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing written by Anna Lena-Sachs in PDF format. This book is under the category Business and bearing the isbn/isbn13 number 3319133047/9783319133041. You may reffer the table below for additional details of the book.

$19.99

Specifications

book-author

Anna Lena-Sachs

publisher

Springer

file-type

PDF

pages

132 pages

language

English

asin

B00S1682JG

isbn10

3319133047

isbn13

9783319133041


Book Description

This ebook Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing (PDF) addresses the challenging task of inventory management and demand forecasting in retailing. It analyzes how information from point-of-sale (PoS) 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. The ebook subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Using linear programming; a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. Furthermore; the ebook 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-author

Anna Lena-Sachs

publisher

Springer

file-type

PDF

pages

132 pages

language

English

asin

B00S1682JG

isbn10

3319133047

isbn13

9783319133041

Table of contents


Table of contents :
Front Matter….Pages i-xvii
Introduction….Pages 1-4
Literature Review….Pages 5-12
Safety Stock Planning Under Causal Demand Forecasting….Pages 13-33
The Data-Driven Newsvendor with Censored Demand Observations….Pages 35-56
Data-Driven Order Policies with Censored Demand and Substitution in Retailing….Pages 57-78
Empirical Newsvendor Decisions Under a Service Level Contract….Pages 79-101
Conclusions….Pages 103-105
Back Matter….Pages 107-111

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