Most Recent Post | Elliott Kim
Field service is full of in-day surprises that can lower efficiency and cause SLA violations and poor customer experiences. To minimize the amount and impact of disruptions, it’s important to have an accurate schedule and ensure each job is assigned to the appropriate person. Predictive field service, powered by machine learning and data science, is key in making this happen.
An important part of predictive field service is accurately estimating job duration. And it’s not as simple as usi...
Katelyn Burrill | March 14, 2018
You may remember a not-so-distant past where your techs were held hostage to fixed schedules and slowed down by unpredictable situations. Once they entered the ...
Katelyn Burrill | March 7, 2018
Upstart organizations are completely reshaping customer expectations. Don’t want to go shopping at the mall? Companies like Stitch Fix will send you a persona...
ClickSoftware | January 24, 2018
We’re pleased to announce the release of some exciting new capabilities for Field Service Edge, our cloud-based mobile workforce management platform. Powered ...
Steve Smith | January 17, 2018
In 2017, a majority of executives came to the glaring realization that they needed to reinvent their service models if they wanted to keep up with consumer dema...
Katelyn Burrill | January 3, 2018
Ever notice how much appointment booking can impact your entire day of service? One poor or uncalculated decision could lead to missed appointments and unhappy ...
Paul Whitelam | January 2, 2018
How many times have your dispatchers spent hours trying to create the perfect schedule only to have it ruined the day of service when an emergency job arises or...
Katelyn Burrill | December 20, 2017
In a fantasy novel or movie, it’s magic or an innate “gift” that allows people to see the future. In reality, it’s data (and lots of it) that powers pre...
ClickSoftware | December 13, 2017
Recently, ClickSoftware and Field Service News partnered on a Think Tank Session in London. Senior field service professionals from varying sectors and company ...
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