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As the economic environment changes, more and more loopholes appear in the actual application of traditional pricing methods. Existing methods cannot accurately predict changes in consumer demand and cannot accurately mine potential consumer demand. Existing methods cannot achieve the maximization of corporate profits, which has become a difficult problem for service-oriented corporate revenue management. This article mainly studies the pricing of service-oriented products in the context of revenue management. By studying and reviewing relevant literature on the dynamic pricing of service-oriented products, this article clarifies the characteristics of service-oriented products and several loopholes in the current pricing of service-oriented products. Based on the current research results of dynamic pricing at home and abroad, this article summarizes the influencing factors of dynamic pricing and establishes the dynamic pricing model of this article. This article selects the current hotspot and the reinforcement learning method that conforms to the multidimensional characteristics to solve the calculation of the model. Through analysis, the optimal state-action pair of the model in this article is obtained, and the optimal path of environment and behavior is formed to obtain the maximum profit.

Dynamic Pricing Model of Service-Oriented Educational Products Based on Revenue Management