基于ERP系统的财务报表自动生成方法及系统
By performing semantic intelligent clustering and periodic adaptive matching of financial statement templates in the ERP system, the problem of inaccurate template recognition and configuration in existing technologies has been solved, and the intelligent and standardized generation of financial statements has been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 山东星乾信息科技有限公司
- Filing Date
- 2025-12-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing financial statement generation systems lack semantic-level similarity recognition mechanisms, a dominant mapping relationship between periodic indicators and template clusters, and a dynamic differentiation update mechanism in the multi-level upload node template configuration process, which affects the accuracy of financial statement generation.
By using an automatic financial statement generation method based on the ERP system, the system achieves semantic intelligent clustering, periodic adaptive matching, and multi-level node template configuration of financial statement templates. This includes field semantic vectorization, similarity matrix calculation, dominant scoring result analysis, and hierarchical template configuration, constructing a dominant mapping relationship to ensure intelligent template selection, hierarchical report configuration, and standardized data uploading.
It enables intelligent template selection, hierarchical report configuration, and standardized data uploading in the automatic financial statement generation process, thereby improving the accuracy and consistency of financial statement generation.
Smart Images
Figure CN121638190B_ABST