A Prognostic Three-Axis Coordination Model for Supply Chain Regulation Using Machine Learning Algorithm

Abstract

In this article, data processing of a supply chain management system has been monitored using the Internet of Space (IoS) which can be able to create possessions for managing the business process. In modern circumstances, many business inventiveness are trading and exporting products on their possession, but in many cases, information on such manufactured products is not monitored in an effective manner. To overcome the abovementioned issue, a precise model of monitoring several distributed products in supply chain management has been introduced with high sustainability error reduction. The framed model in the management process has been integrated with the boosting algorithm, a type of machine learning algorithm where training dataset has been introduced appropriately. This variation in the incorporation of the boosting optimization process not only increases the efficiency of the proposed model but also attempts to prove the success strategy under five different scenarios, where after sequential tests IoS model delivers high improvement in the distribution process for an average percentile of 67% than the existing methods.