Issue |
SHS Web of Conf.
Volume 193, 2024
2024 International Conference on Applied Psychology and Marketing Management (APMM 2024)
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Article Number | 01005 | |
Number of page(s) | 4 | |
Section | Business and Economics | |
DOI | https://doi.org/10.1051/shsconf/202419301005 | |
Published online | 06 June 2024 |
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
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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