Design And Implementation Of China Unicom Smart Supply Chain Platform (E-Mall 3.0) Based On Big Data

This project comes from an actual project that I participated in during my internship.Based on the call of the national situation and policy and the demand of the company's business function,China Unicom proposed to build a smart supply chain platform project to complete the upgrade of e-mall 2.0 to 3.0.The author's main work is as follows:(1)In order to solve the disadvantages of poor scalability,poor agility,low reliability and low maintainability brought about by the integrated architecture of e-mall2.0,this paper discards the original architecture and carries out microservice splitting,dividing the project centre into three major services based on functional requirements:item building service,solution service and result service.This paper also modifies the logic of some business functions,reconstructs the project centre in the form of a parent project,takes the procurement progress as a clue to link the various services of the procurement project,and implements the microprocurement function in the way of demand project integration,which improves the problems of fragmented business functions and cumbersome operation processes.(2)For complex data mapping and huge data volume,this paper effectively distinguishes hot and cold data,and adopts big data technologies such as Spark,HBase and Kafka to offload and archive cold data from the business processing operation environment to the big data environment,and then carry out unified query operations.This mechanism can save data storage costs and improve data read and write performance on the basis of reducing the pressure on the database.(3)In order to improve the intelligence and user-friendliness of the system,this paper implements intelligent applications for different business scenarios,including proposing an intelligent supplier qualification identification function based on collaborative filtering algorithms to generate a supplier recommendation list;it also proposes an intelligent risk control function for price pool amounts based on hierarchical analysis to generate risk assessment results for each factor and formulate countermeasures,which can effectively reduce the possibility of risk and lower risk losses.Phase I of the platform has been launched and put into use.Combined with the work presented in this paper,the e-mall 3.0 system not only optimises business logic functions and speeds up business response,but also effectively improves scalability and agility,enhancing system robustness and reliability.In addition,the application of big data technology and algorithms to manage e-mall purchasing behaviour in an intelligent way,achieving the mutual integration of technological innovation and business innovation,and vigorously advancing the pace of digital intelligence in the communications industry.