ARTIFICIAL INTELLIGENCE-BASED ONLINE FISHERY PRODUCT DISTRIBUTION METHOD FOR SALES OPTIMIZATION

Abstract

This invention discloses an artificial intelligence-based online fishery product distribution method designed to optimize the sales and distribution process for small and medium-sized businesses. This method includes the stages of collecting transaction data, customer data, product stock, and distribution history; storing data in a structured manner in a centralized database; and automatically processing the data through an artificial intelligence-based analytical module. The analytical module runs a demand prediction model, a customer segmentation model, and a distribution recommendation model to generate market demand projections, customer groupings, and determine the most effective distribution channels. The analysis results are then used to compile recommendations for production volume, marketing area priorities, and potential customer targets, which are displayed through a user dashboard in visual form.Through this method, business actors can make data-based decisions quickly and accurately so that the distribution process becomes more efficient, sales potential increases, and the risk of stockpiling can be minimized.