Artificial Intelligence (AI) is transforming the operational structure of every industry. The ever-dynamic field service management (FSM) industry can’t be an exception. It is quicker and easier for customers today to call a field technician than it was ever before. This is because now the field management software provides greater efficiency and visibility to the operators. Here you can read more about intelligent automation.
But this is just the beginning! Experts are predicting more revolutions in field service management due to AI. Following are the 7 most significant ways AI is shaping the future of field service management.
1. Automation of Scheduling to Provide Correct Waiting Time
The automatic schedule optimization takes into account all the external quantitative data, such as the weather conditions and any permissions required to operate in a particular area. Excess to all this information makes the job of the field service executive easier. And it provides a correct wait time to the customers giving a positive impression of your company.
2. Intelligent Planning for Resource Management
Field management software chalks out a plan for every technician, which involves full utilization of available resources. An efficient path is navigated for the technician to complete maximum requests. The system checks in advance that all the tools and spare parts needed to perform a particular service are available on a real-time basis or not.
3. Efficiency Enhancement of Field Technicians
A field technician can get help from the service apps and software about the probable faults in the machine, the previous history of the equipment, and technical recommendations. They can also get instant advice from a senior in case they face any challenge. Thus, AI significantly lowers the workload of the field technicians and the back-end staff as well.
4. Productivity Maximization Through Real-time Assistance
It’s vital to avoid redundant return jobs to increase productivity. Zuper is amongst the best field management software in the market. It provides details in a comprehensive work order to the technician so that they are well-informed about the tools, parts, and skillset required to perform the task. This decreases their chances of return jobs due to a lack of resources and information.
5. IoT Sensors for Predictive Maintenance
The IoT (Internet of Things) sensors installed in modern devices are enabling predictive maintenance. The equipment monitors their own health and passes on the alert before the breakdown of the equipment. This makes the job relatively simple. Predictive maintenance arms the technician with the details of tools and parts required to work on the equipment.
6. Better Coordination Between Back-end & Field Service
The speed and clarity of communication are required for the success of any field service management company. AI enables seamless coordination between back-end staff and field technicians. This field service mobility plays a vital role in serving the customers with greater efficiency, fewer errors, instant support systems, and successful service outcomes.
7. Brings Stability & Reliability in FSM Business
Before the evolution of AI, customers used to wait for weeks for the technician to arrive. And, it often took multiple visits to repair a machine as technicians did not have access to real-time inputs provided by field service software. The AI is providing predictive maintenance to call a technician beforehand. And a detailed work order decreases the chances of return jobs. All these factors significantly improve customer experience and stability in business.
Summing-Up!
The FSM companies prioritizing the usage of field management software will defiantly have the edge over their competitors. The quality of customer service no longer depends upon the politeness of the technician. Today’s market demands speed, accuracy, and a flawless customer experience. These expectations from field service management are only going to increase in the future. And they are impossible to meet without the support of AI.
Author Bio:
“Akhil Rajan is a Customer Success Specialist at Zuper, an intelligent workforce management platform for service-oriented businesses. Working with customers on a daily basis, he has a deep understanding of their needs and pain points and so he is able to contribute to the marketing strategies for Zuper with the content he writes. He writes on topics like how to increase workforce utilization, how to reduce the service turnaround time and increase workforce efficiency, customer adoption, cost reduction strategies, etc – to name a few. He is often found buried in books or playing chess in his free time.”
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