The Impact of Artificial Intelligence (AI) and Big Data Analytics on Supply Chain Performance of SMEs in Chinese Fresh Food E-commerce Industry

Bayes Business School, City University of London, London, EC1V 0HB, United Kingdom

^* Corresponding author: Pinghao.Jia@bayes.city.ac.uk

Abstract

The COVID-19 pandemic and the rise of Artificial Intelligence (AI) and big data analytics have significantly transformed the fresh food e-commerce industry in China. As consumer behavior shifted toward online purchases, the industry experienced remarkable growth, yet it continues to face challenges, particularly within its supply chain. High product loss rates, storage and transportation costs, and demand prediction inaccuracies contribute to inefficiencies. While AI and big data analytics present opportunities to enhance supply chain management, small and medium enterprises (SMEs) in the industry struggle to adopt these technologies effectively due to resource limitations and data collection challenges. This study explores the unique obstacles SMEs face in implementing AI and big data analytics in the Chinese fresh food e-commerce sector and proposes strategies for overcoming these challenges to improve supply chain performance, reduce operational costs, and enhance competitiveness. The findings aim to provide valuable insights for SMEs seeking to leverage AI and big data analytics in a rapidly evolving market landscape.