Automated Field Service Scheduling: The Power Of Computer Vision AI

By Andrew Mort, TechSee

Improving efficiency has become a priority for many field service organizations, and some are succeeding by harnessing the power of AI to improve their internal processes, especially for automated field service scheduling.

According to an industry survey, in 2018 52% of companies were still using manual methods for most of their field service tasks, such as scheduling and work planning. These activities almost always have a negative effect on operations. Human schedulers must keep up to date with multiple technicians, including their availability and skills. Human error – such as double booking and mismatching skills – is inevitable, as are job overruns and cancellations. Field service scheduling gets even more complicated when companies outsource parts of their field operations to sub-contractors. 

Many field service organizations are now recognizing the need to modernize their legacy systems and revamp outdated practices.

AI Transforms Field Service Scheduling

AI technology overcomes the hurdles faced by manual schedulers by automatically assigning jobs to the right technicians based on history, skills, location, priority, tools and availability, to drive higher job success rates. An effective AI-driven scheduling solution must factor in the following five considerations: