An Automated Framework for Efficiently Predicting and Managing Dispatch Rates inTechnology Service Sectors

Abstract

Our paper introduces an innovative automated framework, combining logistic regression and arithmetic trend analysis, to predict and manage dispatch rates in the technology service sectors efficiently. This approach provides a detailed analysis of factors influencing dispatch rates, enabling service providers to anticipate demand and optimize resource allocation effectively. The deployment of our framework significantly improves resource planning and cost efficiency, leading to enhanced operational efficiency and customer satisfaction. This represents a transformative contribution to service management practices and academic research.