Parts management is a manual, inaccurate, and costly process with service parts scattered across locations on customer sites, in technician vehicles, and at dealers, resulting in inconsistent visibility into spare parts inventory.
Goals and Objectives
Connected products and services enhance the service experience and improve efficiency by reserving and positioning the right service parts to resolve an issue on a first visit.
IoT, smart assets, sensors, AI, machine learning, computer vision, RPA, low code/no code, analytics, blockchain, cloud, enterprise applications, mobile
Use Case Summary
Ability to position and stock service parts efficiently across the network to ensure technicians have the right part based on the failure reason and equipment type.