Today’s shipment tracking combines online services of shipments with manual data scrapes of carrier/terminal systems or calls to carrier dispatch and customer service. This causes costly delays, ties up resources, and affects timely decision making.
Goals and Objectives
This use case provides decision support based on predictive analytics and likelihood of meeting predefined service levels. Categorizing shipments as “on time,” “delayed,” or “will miss delivery commitment” allows for focused mitigation efforts and improves network planning, thereby improving customer satisfaction and retention.
IoT, personal devices, cloud, big data/analytics, mobile, APIs, telematics, connectivity services, and live vehicle tracking
Use Case Summary
Live vehicle tracking through onboard devices gives location of asset in real time and estimates the probability that pickup/delivery commitments will be met allowing teams to focus efforts only where needed.