Research on the Development and Application of Intelligent Financial Profitability Analysis Robot Based on RPA

Abstract

In the context of accelerating digital economy penetration, financial digital transformation has become a critical pathway for enterprises to enhance core competitiveness. Robotic process automation (RPA) technology, with its efficiency, precision, and cross-system collaboration capabilities, provides innovative solutions for financial process innovation. This paper develops an intelligent financial profitability analysis robot based on Laiye Technology’s UiBot platform, focusing on core processes such as data collection, metric calculation, and report generation. It achieves full-process automation from multi-source data integration to visualized analysis reports. By integrating dual-dimensional metrics of accounting profits and cash flows, the system constructs dynamic analytical models adaptable to various industries, effectively addressing issues like inefficiency, high error rates, and delayed decision-making in traditional financial analysis. Practical results demonstrate that the robot achieves over 98% data collection accuracy, reduces business processing time to 30% of manual operations, significantly lowers corporate financial operational costs, and provides real-time, precise decision-making support for management. This solution holds significant practical value and promotion potential.