Predictive Shipment ETA Using Machine Learning on AWS SageMaker

A client of our client, one of the global leaders in agricultural equipment manufacturing, faced challenges in accurately predicting shipment delivery times across their complex supply chain network. Traditional methods of estimating ETAs were unreliable. The company needed a scalable, data-driven solution to predict shipment ETAs, boost operational decision-making and customer satisfaction.