Study on the Pricing of Catering Distribution Time Slot Considering Customer Type

10.6911/WSRJ.202206_8(6).0057

Qianying Chen

Delivery time slot ； Food and beverage takeout ； Mixed Logit model ； Q‐Learning algorithm ； Pricing strategy

World Scientific Research Journal

8卷6期（2022 / 06 / 01）

438 - 450

英文

This paper uses the Mixed Logit model to describe the characteristics of customer time slot selection, and uses the Q‐Learning algorithm of reinforcement learning to solve the time slot pricing of the distribution platform. On this basis, due to the heterogeneity of customers, the types of customer relationship management is divided, and different distribution time slot pricing strategies are formulated for different customer types. Through example analysis, this paper obtains the following conclusion: Q‐Learning algorithm can quickly simulate the pricing strategy, customer selection behavior and customer reflection of time slot pricing, verify the feasibility and effectiveness of using Q‐Learning algorithm to solve the time slot pricing problems; to develop different pricing strategies for different customer types, so as to balance the capacity of each time slot, so that the distribution platform can obtain optimal benefits.