Digital Economy: The Establishment and Application of Pricing Model for Personalized Order-Based Products by Using Big Data Technology
- DOI
- 10.2991/978-94-6463-024-4_5How to use a DOI?
- Keywords
- Digital Economy; big data technology; product pricing; order production
- Abstract
In order to solve the customer order in the face of enterprises how to quickly and accurately quotation. In this paper, we use big data technology to process and filter the data, and take the product cost estimation as the starting point, this paper puts forward an overall solution to the cost estimation of orders and quotation, that is, to estimate the product cost by using the activity-based standard cost estimation method, and to estimate the production cost of products, then, we use activity-based costing to calculate the non-production cost of the analyzed order, form the order cost, and finally form the order quotation. Combined with the actual situation of the enterprise, the calculation and analysis verify the correctness and advancement of the solution ideas. It solves the problems in cost estimation and quotation, and shows the application of digital economy in enterprises.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yan Zhang PY - 2022 DA - 2022/12/12 TI - Digital Economy: The Establishment and Application of Pricing Model for Personalized Order-Based Products by Using Big Data Technology BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 38 EP - 44 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_5 DO - 10.2991/978-94-6463-024-4_5 ID - Zhang2022 ER -