E-commerce Sales Prediction Using Listing Keywords

E-Commerce Sales Prediction Using Listing Keywords

Abstract:

Small online retailers usually set themselves apart from brick and mortar stores, traditional brand names, and giant online retailers by offering goods at exceptional value. In addition to price, they compete for shoppers’ attention via descriptive listing titles, whose effectiveness as search keywords can help drive sales. In this study, machine learning techniques will be applied to online retail data to measure the link between keywords and sales volumes. The business environment in E-commerce is highly dynamic and often volatile, which is largely caused by holiday effects, low product-sales conversion rate, competitor behavior, etc. As a result, demand data in this space carry various challenges, such as highly non-stationary historical data, irregular sales patterns, sparse sales data, highly intermittent sales, etc.