It’s no secret that artificial intelligence is a crucial component in the future plans of many service leaders. In a recent Gartner survey of leading field service organizations, more than 25 percent indicated they had AI or machine learning projects planned for the next 12 to 18 months.
But some organizations have struggled to translate the huge potential of AI into practical applications that generate immediate results.
Don’t get lost in theoretical applications or potential benefits reaped over the next 5 to 10 years. Here are three use cases where AI is making a big difference in outcomes right now.
Like an urgent care facility, service teams need to prioritize jobs, available staff, parts, and more. And like the medical analogy, some clients present with clear problems that are easily remedied while others require further diagnostics. What if your service teams could easily identify the root cause of issues before arriving on site, and for complex problems, arrive at a job with more context and historical info to complete the job quicker? Service organizations can do just that.