Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame. It is a massive, high-growth, and diverse information asset that requires a new processing model. The strategic significance of big data technology lies not in mastering huge amounts of data information, but in professionally processing these meaningful data. In e-commerce, IT systems, applications, and technical infrastructure generate data every second of every day. Big data, whether unstructured or structured, represents records of all user behaviors, service levels, security, risks, fraud, and more operations.
In cross-border e-commerce, a large amount of data is generated. Cross-border e-commerce companies should pay special attention to these huge amounts of data, extract effective data from them, and explore the value of data resources, and then combine them with business applications, which can both reduce business costs and improve economic benefits.
(1) Cross-border e-commerce companies collect massive amounts of consumer data, analyze big data, and explore consumer consumption trends, so as to know consumer needs one step ahead of time, and then conduct business and develop related products and services in advance.
(2) Cross-border e-commerce companies track and record consumers’ online behavior, push information about products that may interest them based on their purchasing habits, or quickly identify the most valuable customers among a large number of customers to conduct precision marketing.
(3) Cross-border e-commerce companies analyze sales and inventory data to intelligently determine purchase quantity, frequency, time, cost, etc., or set prices and clear inventory with the goal of maximizing profits.
(4) Cross-border e-commerce companies analyze logistics data to more reasonably select delivery methods and optimal transportation routes, thereby improving the efficiency of logistics services and saving logistics costs.