Common errors or shipment exceptions made repeatedly lead to additional costs for redos and less than optimal customer service levels and potential loss of business.
Goals and Objectives
By capturing exceptions and applying machine learning, the system introduces fixes to reduce or even eliminate future exceptions, resulting in better customer experience and retention.
Enterprise hardware, cloud, mobile, connectivity services, and transportation management systems (TMS)
Use Case Summary
This use case provides active exception management by identifying root causes through systems analysis and machine learning, introducing system fixes, and thereby reducing repetitive exceptions.