Vending machines provide people with an easily accessible selection of beverages and snacks, helping them to quickly quiet their rumbling stomachs while on the go. However, vending machines can pose frustrations from time to time — coins or bills being rejected, purchased items getting stuck in the machine, products being out-of-stock, and more.

For JD.com, shipping as fast as possible is key to satisfying customers. JD.com is proud to be able to deliver over 90% of its packages in the same or next day.

E-hailing companies offer classic rides as a fast mode of transportation and shared ride as an economy option. Unlike private riders, …

E-Commerce companies use forward distribution centers (FDC) that are closer to customers distance-wise to fulfill orders in a timely …

E-commerce has been growing exponentially during the last couple of centuries around the world due to expanding access to the Internet and, more recently, mobile technology. The ability to shop online has transformed how consumers interact with brands and retailers, and how global commerce operates. Recently, more and more companies, including those with strong focuses on technology and AI, are promoting Retail-as-a-Service (RaaS) as a solution to offer customers more intimate and personalized shopping experience. This is achieved by creating a boundaryless shopping experience where customers, goods and shopping environments are more tightly integrated. Data mining and data science are among the core techniques in RaaS. In this tutorial, we will provide an overview of the current best practices of RaaS, and highlight the key contributions that data science has made in the field. We will use real world application examples to demonstrate how data science has changed the shopping experience both online and offline ,and what the future of shopping might be.