Research on the Construction Mechanism of Enterprise Forecasting Ability– Case study on improving prediction accuracy based on Lenovo

¹ Business College, Nanjing University of Information Science and Technology, 210044 Nanjing, China
² An De College, Xi ‘an University of Architecture and Technology, 710199 Xi ‘an, China
³ Communication and Information Engineering College, Xi ‘an University of Posts and Telecommunications, 710086 Xi ‘an, China

^* Corresponding author: 202383850032@nuist.edu.cn

Abstract

Enterprises are facing both new opportunities and severe challenges in a complex market environment. Improving forecast accuracy is key to improving your bottom line. This paper takes the practice process of Lenovo Group as a case study to explore the construction mechanism of enterprise forecasting ability. This paper finds the establishment of database management, the adoption of general forecasting methods, and the application of multi-level demand collaborative forecasting technology. All of them are conducive to reducing the forecast error rate. This paper analyzes Lenovo Group's efforts to improve the problems of data islands and data breakpoints in the past. It innovates some ways and methods. Not only provides a reference for other enterprises to improve but also reduces the bullwhip effect. They are making the resource utilization of the supply chain more sufficient, and being more conducive to the sustainable development of the supply chain. The research conclusions of this paper have certain references and enlightenments for enterprises to improve the accuracy of forecasting.