Insurance Technology and Supply Chain Finance: An Empirical Study on Dynamic Premium Algorithm for Small and Medium-Sized Micro Enterprises

Abstract

With the acceleration of global economic integration, the role of small and medium-sized micro enterprises (SMEs) in the supply chain has become increasingly prominent. However, under the traditional insurance model, SMEs face the dilemma of “difficult insurance purchase and slow claims settlement.” This paper proposes the integration model of “Insurance Technology + Supply Chain Finance,” aiming to address the risk management challenges of SMEs through a dynamic premium algorithm. A real-time pricing model based on enterprise operation data and supply chain risk coefficients is constructed, and blockchain technology is utilized to connect the data of upstream and downstream enterprises to achieve risk-sharing. Through an empirical analysis of 50 pilot enterprises, the results show that the dynamic premium algorithm reduces the insurance cost of SMEs by an average of 40%, significantly improving the efficiency of enterprise risk management and insurance service experience. Further industry-fit analysis reveals that the algorithm has good applicability in both manufacturing and service industries, but optimization adjustments are needed according to the risk characteristics of different industries. Finally, this paper demonstrates the specific effects and value of the dynamic premium algorithm in practical applications through three typical enterprise cases, arguing the universal significance of the “Insurance Technology + Supply Chain Finance” integration model for SME risk management and providing new ideas and practical paths for the coordinated development of the insurance industry and supply chain finance.