Strategy and effect factors for a flexible financial infrastructure and supply chain

In an unstable market, supply chain management (SCM) must use novel approaches to meet consumers' expectations better. Supply chains must become more adaptable to cope with the disturbance that calls for increased supply chain resilience. This fresh perspective posed the difficulty of creating and overseeing a supply chain network that cultivates interdependent links via purposeful collaboration. This research proposes a Customer Support Prediction Model (CSPM) to improve the efficiency and competitiveness of the supply chain. The effect of these actions on supply chain performance should be tracked using operational and economic efficiency metrics. The impact of the proposed agile and resilient techniques on rivalry in the supply chain is studied concerning time to market, product effectiveness, and customer satisfaction. This study compiles a set of uniformly accurate and trustworthy metrics through iterative measurement analysis. Theory development in SCM is facilitated by the suggested CRPM, which may be applied in various settings to improve existing conceptualization and measurement procedures and assess a wide range of theoretical models.