The research also found several gaps between the companies who have already adapted AI and the laggards. The major difference is with context to their approach to data. As we write and speak of it, there are various research and discovery in process knowing and understanding AI and AI for business better.
Redefining Field Service Management with Artificial Intelligence
We are in the era where technological advancement and changes are modifying and constantly re-shaping the way we use or know them. AI is one such advancement which is helping businesses modify the way they work. In the Field Service Management, there are various progress and improvement which we as an industry have witnessed.
Before the use of AI started, filed service staffs had to personally visit your customers in order to find out whether the machine/ product is in working condition on not. They had to manually check the machine parts, and basis the observation, age of the machine, age of the parts and the related occurrences, used to suggest how good the machine was or for how long will it work or when will it require maintenance. Thanks to the technological growth, AI can perform these tasks with regular checks right from your computer and save time of your field service staff making accurate judgements on maintenance, repair and age of the machine. The whole process of identifying and resolving the issue has now become convenient and easier with the help of AI. It is now possible to leverage data and predictive intelligence in order to help humans and businesses make smarter choices and decision driven by data automatically.
With AI and FSM together these tasks can be performed with more ease and efficiency. Some of the use cases of AI in field service management are:
Trying to organize and distribute tasks among your field staff when your field staff managers have other obligations to address becomes a difficult task on a daily basis. Historic scheduling before the advent of AI was done using excel, pen and paper or through verbal directions given to the field service staff. With the help of AI it is now possible to fix problems and derive to a better conclusion than ever!
It sometimes might get difficult for your field service staff to choose the best suitable route to reach your customers and hence result not only in delay or become too time consuming but will also be costlier. Route Optimization is the process to eliminate long routes and determining the most cost-efficient and less time consuming route in order to help your field service staffs navigate properly. There are several factors which needs to be kept into consideration before analyzing and finalizing the route such as the total number of stops to be made in a day, closest locations and possible stops that are to be made before reaching the location.