Zihan Xu¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

In e-commerce, product pages are important to the success of a website [4]. The ultimate goal of an e-commerce site is sales and it takes a great product page to achieve that. However, today, e-commerce entrepreneurs are confused about how to make their product page more attractive [5]. This paper designs a data-driven analytical system to analyze the relationship between different web page features with sales, in order to give users feedback on how to improve their product web pages [6].

Data Analysis, E-commerce, Artificial Intelligence.