Research on Pricing Decisions Optimization Algorithm of Fresh Agricultural Product Supply Chain Under the Background of Artificial Intelligence

With the economic development and the improvement of cold chain logistics service technology, more and more fresh food enterprises are committed to expanding their retail scope, seizing market share and improving their profits. This paper studies the pricing decision optimization algorithm of fresh agricultural product supply chain under the background of artificial intelligence, aiming to improve the efficiency and competitiveness of fresh agricultural product supply chain. Aiming at the difficulties and challenges in the pricing decision of fresh agricultural products supply chain, an optimization algorithm is proposed. The algorithm considers the impact of delivery time on the pricing and service decisions of fresh agricultural products, aims to improve the revenue of supply chain members, constructs a dual-channel game model, analyzes and evaluates multiple links in the fresh agricultural product supply chain, optimizes the pricing strategy, and provides appropriate management suggestions for the relevant decisions of fresh supply chain members. This paper discusses and analyzes the relevant theories and methods of pricing decision-making in the supply chain of fresh agricultural products, selects the actual fresh agricultural products market as the experimental platform, and verifies the effectiveness and feasibility of the algorithm through experiments. The results show that the pricing decision optimization algorithm of fresh agricultural products supply chain based on artificial intelligence technology has high accuracy and efficiency, which can provide useful help for the management and optimization of fresh agricultural product supply chain. The results of this study are of great significance for the management and optimization of fresh agricultural supply chain, and the algorithm can be further studied and applied in the future to improve the efficiency and competitiveness of fresh agricultural product supply chain.