Algorithms for Picking and Distribution of Online Orders in New Retail Enterprises

Abstract

This paper studies joint algorithms of order picking and distribution in new retail enterprises. The problem will consider many factors, such as the type of goods, picking time, batch capacity of distribution, distribution time, and distribution cost. First of all, the research problems are summarized as mathematical programming problems. Then, a genetic algorithm and comparison algorithms are proposed. Finally, the rationality of the model and the effectiveness of the algorithms are verified by computational experiments, and management enlightenments are revealed.

Research on Reconstruction of New Retail Triangle Driven by AI

“…AI can show retailers the likely results of different pricing strategies so they can propose the best promotional offers, gain more customers and increase sales. To do this, algorithms typically collect data about competitors' products, promotions, and sales, as well as non-store data about events such as local events [11].…”