Design And Implementation Of Big Data Analysis System Of Gold Jewellery Purchase-sales-inventory And Customer Preferance

With the advancement of the times,people’s pursuit of quality of life has continuously improved,and the demand for jewelry products has continued to increase.Gold jewelry,as a precious metal jewelry with preservation properties,is particularly favored by customers.This thesis project originates from a mall project developed for the sale of a gold jewelry company.The gold jewelry company mainly sells gold jewelry,and also has the business of recycling old jewelry;the project is based on the customer-related data accumulated in the previous years of company,and uses big data statistics and big data mining function of the big data system for reasonable analysis Customer related data and analysis of customer behavior preferences provide very reliable data and purchasing evidence.The purchase sales inventory module mainly adopts the system architecture of the browser and the server,and directly communicates with the terminal customer through the page;the system realizes the gold jewelry sales module and realizes the gold jewelry system inventory module,where in the inventory module includes the inspection and inventory count;The gold jewelry system procurement module is realized;At the same time,the database synchronization technology is used to synchronize the database information of the purchase sales inventory system to the database of big data analysis;the customer preference analysis in the system is divided into customer data statistics and mining,which adopts the most mature Hadoop distribution.The system software architecture,the system realizes the data statistics of the customer data of the gold jewelry system,realizes the contribution analysis,realizes the classification of the customers,realizes the customer behavior preference mining of the gold jewelry system through the Map Reduce algorithm,and is satisfied with the customer’s products.The degree of confidence calculation is used to analyze the series of products with high customer satisfaction and the important parameters of the products.In the gold jewelry purchase sales inventory system and customer preference analysis debugging,the customer’s contribution algorithm and the customer satisfaction confidence algorithm are verified,which proves that reliable data analysis and reference can be obtained through this system.