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Microsoft Dynamics 365

Transition from a product to service model with connected field service 

Many manufacturing organizations are transitioning from a traditional product business model to an “as-a-service” business model—including flexible consumption models (FCMs) and “Anything-as-a-service (XaaS)—that lets them pay for what they use. “As-a-service” models provide compelling benefits, such as: Predictable and renewable revenue streams Greater value to the customer, as they only pay for what they consume...

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Intelligent field service at Hannover Messe 

As the manufacturing marketplace continues to evolve, so do customer expectations. Customers expect faster and faster response times and improved asset availability. To meet these growing demands, manufacturers need to transform field service to increase efficiency and ensure a first-time fix. Today’s average first-time fix rate is 74 percent, which means over 25 percent of...

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Elevate your customer experience with field service first-time fix rate 

Service organizations are continually challenged to meet rising customer expectations. It often seems like creating a positive customer experience and growing customer engagement are moving targets. And confusion arises as these terms are often used interchangeably. Understanding the difference is the first step in enhancing the customer experience and customer engagement. First, let’s define the...

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Dynamics 365 for Field Service: Drive efficiency with intelligent troubleshooting 

A field service engineer’s job can be a bit like looking for a needle in an enormous haystack. For example, trying to isolate the cause of a customer’s inexplicably high heating bill in the month of August. And for the longest time, companies made do, thinking the challenges of troubleshooting, such as scheduling inefficiencies and...

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A day in the life: The AI enabled field service organization 

Field service organizations have historically run under a reactive, break-fix operating model, only able to respond to device failures after customers report a problem. Modern field service organizations need new ways to make sense of available information to enable their people and take early action to address customer needs. Intelligent, predictive systems driven by artificial...

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