This paper mainly introduces the search engine optimization scheme used by airlines to check flight and fare information. The legacy shopping search engine based on IBE has two drawbacks. First, the query efficiency is low. Second, the ability to withstand pressure is weak.In order to solve these problems, based on the application of cloud computing technology, this paper proposes a data cache and data accuracy optimization scheme to build a new shopping cloud engine architecture.We will focus on how to cache data and how to improve the accuracy.The data shows that the cache accuracy has been improved from the initial 75.62% to a maximum of 98.68%. One airline used the optimized shopping search engine architecture proposed in this paper for a year, the retrieval efficiency increased by about 25.1 times, and the concurrent processing capacity increased by 10.5 times.