Built in partnership with Xenet AI, the software enhances the ability to monitor performance in real time

McDonald’s is set to trail a new hospitality tech supplier’s platform designed to aid in predictive maintenance and operational intelligence analysis, aiming to reduce beverage machine failures across its estate.

Telemetry said its technology enables operators to prevent kitchen equipment failures before they happen and is currently being rolled out across McDonald’s kitchens in the UK, processing information from millions of data points.

The AI-powered software merges existing performance data from soft drinks equipment in hospitality kitchens and multiple external sources to provide a single operational view of how key equipment is performing.

Built in partnership with Xenet AI, the software enhances the ability to monitor performance in real time, analyse faults when they do happen, and proactively highlight the potential for soft drinks’ machine failure in the future.

McDonald’s is among the high-profile chains that are exploring how the platform can reduce operational downtime and maintain quality across busy kitchens.

Piers Skinner, Managing Director at Telemetry, said: “We’ve always been really good at giving customers better visibility of how their critical soft drinks equipment is performing, but our new AI tool now supercharges that process and takes it to the next level.

“We are introducing predictive capabilities that move us away from industry-standard reactive solutions and into proactive territory.

“We can now add even more value to the service we provide by giving customers the power to act before issues affect service and ultimately the bottom line.”

Mr Skinner said the company was excited to be working with live restaurant data on a large scale.

“The more data the platform processes, the more accurately it can learn, identify patterns, and predict issues before they become problems.

“We’re excited to see where the new capabilities take us, with the beauty of the AI model being that it will only continue to learn and gather more accurate insights.”

Designed for multi-site operators, the platform presents different views depending on the user, with separate dashboards summarising overall equipment health for franchisees, service companies, and individual restaurants.

It allows operators to view information most relevant to their role, rather than manually reviewing multiple systems to understand what needs action.

A traffic-light style indicator and AI-generated summaries highlight whether assets are operating normally or are beginning to show early signs of failure.

The software uses machine learning models that generate predictive risk scores to highlight soft drinks equipment that is most likely to fail and issue guidance on how long the operator can expect before a complete malfunction.

A rules-based engine detects real-time anomalies and operational deviations, helping teams separate immediate faults from emerging risks.

One practical example is forecasting replacement timelines for filters in soft drink machines.

Typically, drinks machines have a lifespan of 204,000 drinks before the filter needs to be replaced.

Telemetry’s AI platform prompts operations managers to replace filters on real usage, removing the guess work and ensuring filters aren’t wasted.

Greg Cussell, Founder and CEO of Xenet AI, said: “With the Telemetry team, we have built a predictive system that anticipates issues with kitchen equipment before they become problems.

“Historically, delivering this level of proactive analysis at scale has been prohibitively costly and difficult, and we believe that this platform will transform day-to-day hospitality operations.

“The real value of the platform is speed and clarity. It is a strong example of how AI can move beyond theory and deliver real operational impact in a live, large-scale environment.”

Source https://www.foodserviceequipmentjournal.com/mcdonalds-to-trail-ai-platform-aimed-at-reducing-beverage-machine-failures/