Application Research of Big Data Technology in Cross-Border E-Commerce Store Operation

Improving E-commerce User Satisfaction in Logistics System during the Big Data: A Case Study of JD.com

“…JD Worldwide uses big data technology to track and record delivery and outgoing conditions of goods in various regions and automatically replenish the logistics centers in advance through forecasting. JD Worldwide also arranges warehouse spaces reasonably and improves the efficiency of loading, unloading, and outgoing for goods based on the radiation identification function, which is developed from big data technology and used for identifying bestselling products [18]. Besides the benefits mentioned above, JD.com succeeds in ensuring the quality of service provided for customers even during peak hours.…”

“…For JD Worldwide, the intelligent sorting system could pinpoint the corresponding goods in the nearest warehousing operation center through a bar code after the consumers place the orders. Meanwhile, feedback would be sent to the platform, and suggestions would be received through big data [18]. JDL's intelligent systems inside warehouses can geographically classify orders with similar attributes and group them, owing to the self-learning ability they gained after combining big data and machine learning [17].…”

“…Similar to the transportation and outside warehouses, the last mile of distribution assigned to couriers also needs the delivery path optimized based on big data. JD Worldwide uses big data technology to locate customers before assigning the nearest courier to send parcels according to the optimal route [18]. Another important factor to consider is the delivery frequency for each end station since orders must be achieved within 2 days.…”

“…JD Worldwide has built a platform for customers to monitor all logistics nodes. Once accidents happen, couriers and customers can give feedback about the event to the management in time so that loss can be prevented before happening [18]. In this way, the risk is lower, and customer satisfaction is guaranteed.…”

Design and Application of Cross-border E-commerce Selection Platform for Data Visualization under Big Data Technology

“…It is hoped to effectively reduce the operating cost of enterprise big data technology system and improve the overall competitiveness of enterprises in the market. [1] system is composed of core technology components and other key components. Other service subprojects include Hive data warehouse, mahout machine learning library, database HBase, coordination service zookeeper and resource manager Yarn.…”