Research on Intelligent Decision-Making Algorithm for Resource Allocation Optimization in Digital Transformation of Supervision Business

First, this paper focuses on the intelligent decision-making problem of resource allocation optimization in the digital transformation of supervision business, and proposes a solution based on intelligent decision-making algorithm model. Then this paper constructs a set of intelligent decision-making algorithm models suitable for supervision business, including resource allocation algorithm design and dynamic priority allocation strategy. This model improves resource utilization in the supervision process and ensures efficient progress of the project by optimizing the configuration of multiple resources. The model was verified by many simulation tests, and the results showed that the algorithm can effectively reduce resource waste and increase resource utilization by more than 15% on average. The optimized configuration model has high adaptability and accuracy in a multitask environment, which significantly enhances the digital management ability of supervision business. The research in this paper provides an important reference for the intelligent development of supervision business, and at the same time provides innovative algorithm design support for resource allocation optimization in future digital transformation.