Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology

With the continuous advancement of technology and the rapid development of automation technology, pharmaceutical companies urgently need to optimize and upgrade their financial operations with higher efficiency. To optimize the business services of the financial center of pharmaceutical enterprises,...

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Bibliographic Details
Main Authors: Yali Wang, Weiwei Zhou, Yingji Li, Jingqi Sun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10925452/
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Summary:With the continuous advancement of technology and the rapid development of automation technology, pharmaceutical companies urgently need to optimize and upgrade their financial operations with higher efficiency. To optimize the business services of the financial center of pharmaceutical enterprises, the machine learning algorithm and robotic process automation technology are used to design suitable optimization methods. Based on the analysis of the departmental structure and business generation of the financial center of pharmaceutical enterprises, the optimization focus of business requirements is determined. Next, the decision tree algorithm is introduced to visually demonstrate the classification and decision-making process, optimizing the classification operation. Combined with robotic process automation technology, highly repetitive tasks are simplified to optimize business. The test results showed that the decision tree algorithm accurately classified different types of samples into the correct category when distinguishing them. The recall rate on reasonable financing schemes reached 0.69. The business processing time of robotic process automation technology was reduced by 50%, and the task completion rate was increased by 27%. The results indicate that the research designed business optimization method for pharmaceutical enterprise financial centers based on robot process automation technology significantly improves business processing efficiency, effectively controls costs, and enhances operational flexibility. In addition, the research provides theoretical support and practical guidance for the construction of intelligent financial center systems, promotes the automation and intelligent transformation of financial management, and makes important contributions to the development of this field.
ISSN:2169-3536