Optimal Design of Intelligent Logistics Center Storage Location B Based on Apriori

With the development of e-commerce logistics centers toward intelligence, e-commerce logistics centers are characterized by multiple varieties, small batches and multiple batches, so intelligent warehousing optimization design is particularly important. Apriori algorithm is used to mine data association rules, which is very suitable for warehouse management. Based on the Apriori algorithm, this paper studies the correlation between different commodities in the order of the smart e-commerce logistics center B, uses the Python language to mine the commodities with the principle of strong correlation, and optimizes the design of storage locations.