PRINTITRESELLER.UK 45 improves uptime by reducing unplanned outages, which are the most disruptive and costly; shortening mean time to repair (MTTR) through accurate fault prediction; performing preventive maintenance as well as proactive to further increase the MTBF (Mean Time Between Failures); extending the usable life of components by servicing them at the optimal time; and enabling smarter fleet-level optimisation rather than device-by-device fixes. For customers, this means printers are available when they’re needed – especially in high-volume or missioncritical environments. The customer experience improves in several key ways – fewer service interruptions, leading to higher trust in the printing environment, faster resolution times and fewer repeat service calls (MTTR & MTBF), less disruption to end-users, since many issues are resolved proactively or remotely, and greater transparency through reporting and insights into device health and performance. Over time this shifts the service relationship from reactive support to a predictive, consultative partnership, where customers feel their provider is actively protecting productivity rather than simply responding to problems. www.vasion.com www.MyQ-solution.com www.canon.co.uk www.carbon-group.co.uk www.key-digital.co.uk www.xerox.co.uk www.commercebusinesssystems.co.uk www.kyoceradocumentsolutions.co.uk www.ekmglobal.com www.sharp.co.uk The outcome is fewer callouts, more reliable device performance and higher client satisfaction, alongside a reduced environmental impact through fewer unnecessary visits and deliveries. John Green: Being able to plan and forecast service calls and offer preventative maintenance allows us to stay a few steps ahead and be better organised. We constantly look at ways to improve our service, so being able to carry out extensive research into possible issues, using AI technology, means we can ensure the customer doesn’t feel any impact if their equipment has an issue. Graham Foxwell: Predictive maintenance is already transforming service models. Kyocera Fleet Services combined with AI ensures early detection of potential faults, reducing downtime, waste and service costs. When combined with intelligent workflow automation, this approach goes further by linking device health data with process continuity, ensuring that service insights translate into uninterrupted document operations. For customers, this means maximum uptime and uninterrupted document processes, which is critical in sectors like healthcare and legal, where delays can have serious consequences. Kyocera is looking to add additional predictive AI features to help in monitoring device performance. This in turn will complement our existing KFS software, which already monitors and provides a predictive maintenance capability. Ian Silvester: AI-driven predictive maintenance tools are transforming the landscape of printer management by proactively identifying issues before they cause downtime, reducing the need for reactive service interventions. These tools use data from printers such as usage patterns, performance metrics, and environmental conditions, to predict when a component is likely to fail or require servicing. As a result, service teams can schedule maintenance before downtime happens, dispatch technicians with the right parts on the first visit, conduct platform remote diagnostics and firmware adjustments without a site visit, and prioritise service based on risk and business impact, not just alerts. Predictive maintenance significantly schedule interventions before failures occur. This approach dramatically improves uptime, reduces emergency service calls, and enhances customer satisfaction by ensuring consistent device performance. For Carbon’s customers, it means fewer disruptions, faster turnaround, and a more reliable print environment that supports their business continuity and productivity goals. Daniel Gilbert: Having real-time data analysis means we can take a proactive approach to maintenance jobs and assign resources at the best times. Anticipating potential issues before they escalate - looking at component wear, recent print jobs, and potential upcoming print jobs - means we can maximise uptime across our entire fleet without having to review individual cases every time. Maximising uptime saves time for us as well as for our customers, presenting this as a tangible benefit to the customer means that they know they’re getting value for the service provided. Andy Muskett: AI-driven predictive maintenance is shifting printer servicing from reactive to proactive. By analysing real-time device and usage data, AI can identify when components or consumables are nearing end-of-life, allowing parts to be replaced before failures occur. This improves uptime, reduces unplanned service disruptions and enables supplies to be replenished based on actual usage rather than fixed thresholds. As a result, consumable storage can be reduced and deliveries consolidated. VOX POP John Green Ian Silvester
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