Driving Technician Enablement With Computer Vision AI

Core Challenges for Field Service Providers

Across industries ranging from utilities to consumer electronics, medical technology and manufacturing, companies are losing their most experienced field service technicians faster than they can replace them. In fact, 70% of service organizations state that they will become burdened by a retiring workforce over the next five to ten years. Some estimates put direct training costs at 50% of a technician’s annual salary, making efficient knowledge transfer a core operational objective. Efficiency is also a significant problem, with around 25% of issues still requiring expensive follow-up visits.

To enhance all-round efficiency and tackle rapidly rising costs, more field service providers are turning to AI, with Gartner predicting that 30% will be ready to adopt some form of the technology by 2022. Technicians can already leverage AI for a growing range of applications right from their smartphones, from automated scheduling to knowledge base retrieval and decision support. A core element of this transformation is Computer Vision AI.