摘要：The commodity layout of a large supermarket has an important impact on the sales and benefits of the supermarket. The quality of the commodity layout directly affects the consumer’s psychological feeling and purchasing behavior in the shopping process. According to the previous research, we can find that the traditional commodity layout method has the shortcomings of lack of data support, poor stability, and does not include the actual factors such as the impulse purchase behavior of consumers and the purchase law of commodities in the research scope, resulting in the problem that the optimization effect is not obvious. In view of this deficiency, this paper proposes a commodity layout method based on comprehensive correlation degree. Firstly, the concepts of adjacency effect value and placement freedom degree are given. Based on this, transaction data is used to mine association rules of commodities in customers’ shopping baskets, and the influence of the same commodity on surrounding commodities due to different placement positions is further analyzed. Based on the maximization of the comprehensive correlation value, an analytic model for the optimization of commodity layout is established, and the optimal commodity layout is obtained by using genetic algorithm. In this article, the layout of the B supermarket commodity layout is taken as an example. The overall layout is more closely related. It verifies the feasibility and superiority of the commodity layout method based on comprehensive correlation, which can better improve the market competitiveness of the supermarket.
