Big Data and Inventory Management

DOI

10.2991/978-94-6463-531-7_18How to use a DOI?

Keywords

Big Data; Inventory Management; Supply Chain; Demand Forecasting

Abstract

This paper primarily explores the application of big data technology in inventory management, focusing on three main aspects: product demand forecasting, inventory optimization, and real-time inventory monitoring. Big data technology enables precise product demand predictions and inventory optimization, helping companies reduce inventory costs, improve inventory efficiency, mitigate inventory risks, and enhance customer satisfaction. This, in turn, boosts the company’s competitiveness and profitability.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Guanghua Tang
AU  - Yun Xie
PY  - 2024
DA  - 2024/10/01
TI  - Big Data and Inventory Management
BT  - Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
PB  - Atlantis Press
SP  - 141
EP  - 148
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-531-7_18
DO  - 10.2991/978-94-6463-531-7_18
ID  - Tang2024
ER  -