Research on Supply Chain Optimization Strategy of Clothing Retail Industry under the Background of Big Data
- https://doi.org/10.2991/meici-18.2018.12How to use a DOI?
- Big data; Clothing; Retail; Supply chain optimization; Strategy
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/meici-18.2018.12 ID - Liu2018/12 ER -