Research on Supply Chain Optimization Strategy of Clothing Retail Industry under the Background of Big Data

DOI

10.2991/meici-18.2018.12How to use a DOI?

Keywords

Big data; Clothing; Retail; Supply chain optimization; Strategy

Abstract

Supply Chain Management plays an important role in business management. Big data technology provides a new solution for the operation and optimization of supply chain. By analyzing the shortcomings of the supply chain operation in the traditional clothing industry, combined with the practical application of big data technology in the retail industry, this paper proposes various strategies for optimizing the supply chain of the clothing retail industry under the background of the big data era, such as realizing product traceability and accurate marketing, improve supply chain response speed and collaboration capabilities, achieve intelligent sub-storage, improve end-of-delivery efficiency, etc., in order to provide reference for the apparel retail industry to improve competitiveness.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jingjing Liu
PY  - 2018/12
DA  - 2018/12
TI  - Research on Supply Chain Optimization Strategy of Clothing Retail Industry under the Background of Big Data
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 56
EP  - 60
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.12
DO  - 10.2991/meici-18.2018.12
ID  - Liu2018/12
ER  -