E-commerce platforms are a primary place for people to find, compare, and ultimately
purchase products. They employ Machine Learning (ML), Business Intelligence (BI) …

Watsons, established in 1841, is one of the world's leading beauty and personal care
industry with more than 6300 stores in 11 different markets. In addition to 280 Watsons's …

In the context of developing nations like India, traditional business-to-business (B2B)
commerce heavily relies on the establishment of robust relationships, trust, and credit …

Recent advances in logistics tracking technologies have enabled e‐commerce firms to both
accurately track the shipments and obtain accurate estimates of delivery times. With …

This study aims to investigate the contributions of online promotional marketing and online
reviews as predictors of consumer product demands. Using electronic data from Amazon …

Purpose–The purpose of this paper is to investigate how online apparel retailers make trade-
offs in achieving efficiency in handling consumer returns, attempting to reduce the number of …

When faced with a price war, the accuracy of forecasting sales in e-commerce greatly
influences an enterprise's or a retailer's merchandise inventory strategies. When faced with …

This research presents the use of machine learning analytics and metrics in the retailing
context. We first discuss what is machine learning and explain the field's origins. We then …

This transformation of food delivery businesses to online platforms has gained high attention
in recent years. This due to the availability of customizing ordering experiences, easy …

From the 1990s to 2014, users navigation through the Internet has grown from less than 1
million in Europe and North America (Hill 2011) to 3 billion globally with an exponential …