Research on the Location and Path Optimization of Joint Distribution of Fresh Food Cold-Chain Logistics in the Context of Big Data

At present, consumers' demand for cold-chain logistics becomes more time-sensitive and more personalized. With the application of big data technology, logistics distribution has changed from passive response to forward response through scientific prediction and monitoring. Considering the problems such as low resource integration and broken chain in China's fresh cold-chain distribution, this paper takes Wuming fertile orange as an example, puts forward the common distribution mode of fresh cold-chain logistics, and uses SPSS cluster analysis to determine the distribution center. The mathematical model is established and the optimal distribution path is obtained with the help of Lingo software. After using big data to accurately identify and predict consumer demand, the timeliness of cold-chain logistics distribution is effectively improved and the cost of cold-chain logistics distribution is reduced. At the same time, the cooperation among enterprises is promoted and the utilization rate of cold-chain resources is improved. This study provides some references for cold-chain logistics distribution.