Abstract
Whether Lazada, as a shopping platform with great influence in Southeast Asia, can benefit from the cooperation with Alibaba, and what factors will affect the product sales after shopping. This article introduces the background of Lazada and the reason why Alibaba chose to cooperate with Lazada. This article also uses descriptive tables and regression analysis methods to analyze the relationship between seller scores and product scores. The variance and mean divation of the two groups of data are simply described by the description table. Then, regression analysis is used to analyze the impact of those data on the seller rating by comparing the p value of different scores. This article concludes that Alibaba can provide sufficient funds for Lazada to help Lazada develop new software or functions, and has sufficient experience to help Lazada avoid many problems and make improvements. And the total product rating and the customer’s product score of one, two and three star will have a significant impact on the merchant’s score, and this impact will directly affect the seller’s income and product sales.
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