Field Service News by Copperberg

It feels like both two minutes and a lifetime ago since we launched Field Service News. Such is the way of things when you are driven by passion to build and develop something you believe in. This year, we celebrate what an amazing—epic—decade it has been of contributing to the field service sector. We're incredibly proud of our journey so far from very, very humble beginnings to leading some of the industry's most important discussions across the world. But perhaps most important of all, we've made lots of good friends. Including, of course, our new colleagues at Copperberg, whom we have worked alongside in a non-official capacity pretty much since we began this incredible journey. Now, having made that partnership official as FSN becomes part of the Copperberg family, the next chapter of the FSN story continues. So we invite you to join us as we celebrate our 10 incredible years. Let's go down memory lane and reflect on the highlights (and maybe even some lowlights! 🙂) that compose the pages of the FSN history. But most of all, we invite you to stay along with us as we continue to evolve and produce something of value for an industry sector that really plays a critical role in keeping the world turning every single day. Cheers to 10 years and beyond! 🥂 #FSN10 #fieldservice #fieldserviceexcellence #serviceexcellence

In the high-stakes world of field service, maintenance is no longer about scrambling to fix broken equipment. It’s about seeing issues coming—knowing what might fail and when so teams can step in early, avoid costly downtime, and keep customers satisfied…   Predictive analytics is at the core of this shift, transforming maintenance from a reactive “fix it when it breaks” model to a proactive “catch it before it fails” strategy. As Johann Diaz from Service Revolution Academy explains, predictive analytics has unlocked the power of proactive maintenance: "Instead of waiting for equipment to break down or doing routine check-ups regardless of need, both of which cause significant increased costs, predictive maintenance lets teams see potential issues before they happen, thanks to real-time data from sensors." Diaz notes, “With tools like IoT sensors and AI, field service teams can catch minor changes in performance early, scheduling fixes before they escalate into full-blown breakdowns. This proactive approach reduces downtime, keeps operations smooth, and allows for better inventory planning since you can better forecast, with greater accuracy, which parts might be needed soon.” 👉 Read the full article to explore more about how predictive analytics is driving this change in field service: https://bit.ly/ppmam11 #predictivemaintenance #fieldservice #iot #ai #fsm #fieldservicemanagement

⏪ Throwback to 2014: one of our most-read articles tackled a challenge every field service leader knows well—unlocking revenue potential from your team. This classic piece shares 5 actionable tips to help your field service engineers embrace a revenue-generating mindset, without compromising their technical focus. Dive into the insights here: https://bit.ly/3BtwRJg #fieldservicemanagement #fsm #fieldservice #revenuestrategy #customerexperience #salesenablement #digitaltransformation #industrialinnovation #fieldserviceengineers #servitization

Technology is only half the battle in predictive maintenance. The real challenge? Building trust in the data. 📊 As Frank Klomp from Optimize My Day GmbH puts it: “Change management is crucial, as teams may be resistant to relying on analytics; regular training, transparent communication, and highlighting early successes help build trust and adoption.” Adopting predictive models isn’t just about adding new tools—it’s about shifting mindsets and creating a culture where data-driven insights are the foundation for success. 👉 Read our latest article for insights on how predictive analytics is reshaping field service, how it works, and the benefits it brings: https://bit.ly/ppmam11 #predictivemaintenance #fieldservice #iot #ai #fsm #fieldservicemanagement

Industry 5.0, unlike the efficiency-centric focus of Industry 4.0, centers on personalization, blending human expertise with machine capabilities. The implications are profound, especially when it comes to pricing models. Industry 5.0 demands manufacturers rethink traditional pricing strategies to match the demands of a more dynamic, customer-focused landscape. Are today’s pricing systems ready to support this level of flexibility? 👉 Explore that in our new article: https://bit.ly/48PfXBl #manufacturing #pricingstrategy #pricing #manufacturingpricing #industry50 #futureofmanufacturing #digitaltransformation #manufacturinginnovation

Artificial intelligence is reshaping the field service industry, driving efficiency and improving customer satisfaction. Companies today are using AI to optimize scheduling, improve decision-making, and make customer interactions smoother than ever. To explore this further, we spoke with industry experts Michael Kleweken from Optimize My Day GmbH, Timo Schramm from ServiceNow, and Johann Diaz from Service Revolution Academy on AI’s real-world impact and what service leaders should keep in mind as they adopt these tools. 🎞️ Looking back, Johann Diaz notes, “When I started in field service, we used a large map of the UK, stuck to a drawing board, where customer service reps would pin jobs and engineers to try and build some measure of efficiency. We’ve come a long way in just 30 years!” 📈 “AI has vast potential to improve operational efficiency,” says Michael Kleweken. Predictive analytics, he explains, empowers teams to adjust dynamically to changing circumstances, aligning resources with real-time needs and streamlining workflows. 💰 And what about ROI? “Tracking AI’s long-term value requires considering how savings and benefits interact across departments,” explains Timo Schramm. Get the full insights here: https://bit.ly/3VdZOQe #artificialintelligence #ai #fieldservice #machinelearning #customerservice #digitaltransformation #predictiveanalytics #fieldservicemanagement #serviceexcellence #fsm

What’s the path to sustainability in field service? According to Martin Knook, CEO of Gomocha, it’s about adopting the circular economy. Speaking with Copperberg’s Lisa Hellqvist, Martin explains how developing the circular economy around the kind of products they service, and finding efficiencies and improvements going forward can drive both environmental responsibility and operational efficiency. ▶️ For more insights into this and a 2025 strategic outlook for your field service organization, watch the full interview here: https://bit.ly/3UOUqTt #fieldservice #fieldservicemanagement #fsm #predictivemaintenance #fieldservicejournalism #assetdata 

For companies weighing an investment in predictive maintenance, proving ROI is essential. Predictive analytics can yield significant benefits, from fewer emergency repairs to improved First-Time Fix Rates and extended equipment life. But how can companies quantify these gains? Victoria Poku from ServiceNow advises that ROI should be approached with clear metrics and tools that make analysis simple. “There are two key parts to this in my view. The first is deciding what data points you need to measure. And the second is how you bring all those together into one place and turn them into usable insights.” 👉 Learn how predictive maintenance proves its value: https://bit.ly/ppmam11 #predictivemaintenance #fieldservice #iot #ai #fsm #fieldservicemanagement

As artificial intelligence and machine learning become deeply embedded in supply chain technologies, companies are transitioning from merely reacting to data to predicting and preempting issues before they escalate. This shift marks a significant evolution in supply chain management. By moving from reactive to predictive insights, businesses are unlocking new levels of resilience, enabling operations that are not only faster but also far more adaptable in the face of disruptions. But what’s next for real-time visibility? How can companies harness its full potential to transform their supply chains? We explore these questions—and the technologies making it possible—in our latest article. 👉 Read more: https://bit.ly/4hQVEqZ #supplychain #iot #spareparts #sparepartsmanagement #logistics #realtimedata

Personalization in field service operations is reshaping the way companies engage with their customers, offering tailored experiences that improve satisfaction, loyalty, and efficiency. By using data analytics, companies can transform each interaction, aligning services closely with individual customer needs. As Kevin Herring from ServiceNow puts it, "The right data helps send the right technician with the right skills and equipment on the first visit. If schedules change or urgent requests arise, real-time analytics also allows for quick reassignment." Check out our new article to learn more about how data and AI technology enable these personalized experiences, the impact on customer retention, and practical steps companies can take to implement effective personalization. 👉 https://bit.ly/ppmFSa #fieldservice #ai #fieldservicemanagement #fsm #personalization #fieldserviceoperations