Design And Implementation Of Online Machinery Sales System Based On Big Data

With the advancement of economic globalization,the international situation and market environment faced by China's machinery manufacturing industry are becoming increasingly severe.In the context of intensified market competition and major changes in the market environment,improving the sales management capability of machinery manufacturing enterprises with customers as the core is the inevitable choice for enterprises to develop in the long run.Therefore,the scientific and efficient management of the sales business with a certain information system is currently in urgent use demand and broad application prospects in major domestic machinery enterprises.Based on this,this paper designs and implements a set of online data sales system based on big data,aiming to improve the sales efficiency and sales precision of mechanical production and manufacturing enterprises,and at the same time improve the shopping experience of mechanical product users or users.In terms of the construction,the research objectives and ideas of the system are d etermined.Based on the analysis of system requirements,this paper divides the system into customer management module,order management module,mechanical product management module,sales process management module and advertising management module based on the comprehensive consideration of the actual use requirements of the enterprise and personal terminals.Therefore,with the support of big data related technology,this paper proposes and implements a random forest algorithm based on fragmentation technology with reference to previous research ideas and results.The algorithm uses purchasing power and purchase.Probability is the basis for quantitative evaluation to classify and screen customers,and apply them to the customer management module of the sales system.By prioritizing sales to high-quality customers,the sales performance and sales accuracy of the company can be greatly improved,and the human input cost of the sales business can be reduced.At the same time,considering the importance of data security in the context of big data technology,this paper innovatively proposes a data encryption algorithm based on chaos theory in the context of big data.This algorithm realizes the mixing of RSA algorithm and DES algorithm.Gained the advantages of both algorithms and made up for a single algorithm Insufficient,but also to achieve the optimal initial password to ensure the security of data transmission,the two points of this paper is innovative and essence.Finally,the black box test method is used to carry out comprehensive and scientific tests on the system from both system function and performance.The test results show that the system achieves the expected development goal and the final quality reaches the desired level.The realization and application of the system is expected to promote the process,standardization and intelligence of the sales of mechanical production and manufacturing enterprises;effectively improve the sales efficiency and sales precision of machinery sales enterprises,thus promoting the long-term development of enterprises.