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  • AI-powered profitability visualization – profit per cup of coffee
    News

    It’s Not a Feature. It’s an Operating Model.

    ByThomas Lindvall 2026-09-112026-09-25

    No single use case in coffee service pays for itself on its own. The return comes when remote resolution, usage-based intervals, replenishment and warranty evidence run on the same data and feed each other. So what you buy is a coffee service operating model, a change in how the operation decides.

    Read More It’s Not a Feature. It’s an Operating Model.Continue

  • Operations lead reviewing fleet-wide service performance across a large mixed coffee machine estate
    News

    At 10,000 Machines, Small Improvements Become Large Outcomes

    ByThomas Lindvall 2026-09-102026-09-25

    QUICK ANSWER. At fleet scale, the gains that matter are small ones. One point on first-time fix, a few fewer truck rolls, an hour less downtime per fault. On one machine, each of these is noise. Across ten thousand machines, each one is a budget line. So the case for operational intelligence grows with the…

    Read More At 10,000 Machines, Small Improvements Become Large OutcomesContinue

  • Your Reports Tell You What Happened. Not What’s About To.
    News

    Your Reports Tell You What Happened. Not What’s About To.

    ByThomas Lindvall 2026-09-082026-09-29

    QUICK ANSWER. Most coffee service reporting is a rear-view mirror: tickets closed, visits made, uptime last month. All accurate, all historical. None of it tells you which machine is about to fail, which account is about to leave, or which route is about to become unprofitable. Those signals exist in the same data — they…

    Read More Your Reports Tell You What Happened. Not What’s About To.Continue

  • Operations and service managers reviewing a baseline on a whiteboard before a coffee machine telemetry project begins
    News

    Telemetry Is Not an IT Project

    ByThomas Lindvall 2026-09-042026-09-29

    QUICK ANSWER. Coffee machine telemetry projects rarely fail on technology. They fail because they begin as data plumbing — connect the fleet, collect everything, build a dashboard — instead of beginning with a business question and a baseline. Connecting machines is the easy part. Deciding what the data must change is the project. Every operator…

    Read More Telemetry Is Not an IT ProjectContinue

  • Your Warranty Claim Needs Evidence, Not Anecdotes
    News

    Your Warranty Claim Needs Evidence, Not Anecdotes

    ByThomas Lindvall 2026-09-022026-09-29

    QUICK ANSWER. Every operator knows which machine model causes the most trouble. Almost none can prove it. Warranty claims, procurement decisions and supplier reviews are settled with evidence — fault frequency per model, normalised by actual usage — not with experience. That evidence already exists inside your fleet. It just isn’t assembled. Ask any service…

    Read More Your Warranty Claim Needs Evidence, Not AnecdotesContinue

  • CoffeeBrain Appoints Uno Hedin as Partner & CCO to Drive International Growth
    News | Press Release

    CoffeeBrain Appoints Uno Hedin as Partner & CCO to Drive International Growth

    ByThomas Lindvall 2026-08-312026-09-24

    Stockholm, Sweden – Sept 2026 CoffeeBrain today announces the appointment of Uno Hedin as Chief Commercial Officer, strengthening the company’s commercial leadership as it enters its next phase of growth and prepares to bring its Operational Intelligence Platform to professional coffee operators across international markets. CoffeeBrain was founded by industry entrepreneur Thomas Lindvall together with…

    Read More CoffeeBrain Appoints Uno Hedin as Partner & CCO to Drive International GrowthContinue

  • A Day in an Intelligent Coffee Operation
    News

    A Day in an Intelligent Coffee Operation

    ByThomas Lindvall 2026-08-282026-09-29

    QUICK ANSWER. The difference between a reactive and an intelligent coffee operation is not the technology. It is the order in which information arrives. In a reactive operation the customer knows first. In an intelligent one, the operation knows first — and the whole day reorganises around that single change. Two operations. Same fleet, same…

    Read More A Day in an Intelligent Coffee OperationContinue

  • Replenishment Is Not Logistics. It’s Revenue Protection.
    News

    Replenishment Is Not Logistics. It’s Revenue Protection.

    ByThomas Lindvall 2026-08-262026-09-29

    QUICK ANSWER. A stockout is not a logistics failure. It is a revenue event — the moment a customer walks past your empty machine and buys coffee somewhere else. Manual ordering and fixed delivery schedules produce those moments by design. Consumption data should trigger the delivery instead. Most operators file replenishment under logistics. Routes, vans,…

    Read More Replenishment Is Not Logistics. It’s Revenue Protection.Continue

  • Service the Machine When It Needs It — Not When the Calendar Says So
    News

    Service the Machine When It Needs It — Not When the Calendar Says So

    ByThomas Lindvall 2026-08-242026-09-29

    QUICK ANSWER. Calendar-based service guarantees two kinds of waste at once: quiet machines get visits they don’t need, busy machines fail before their scheduled slot. Both destroy margin. The alternative is usage-based service intervals — letting usage intensity, failure history and business criticality decide when each machine is serviced. Most coffee operations service their fleet…

    Read More Service the Machine When It Needs It — Not When the Calendar Says SoContinue

  • Broken Coffe machine
    News

    A Quarter of Your Downtime Doesn’t Need a Truck

    ByThomas Lindvall 2026-08-192026-09-29

    QUICK ANSWER. More than 25% of coffee machine downtime can be resolved without a technician visit — when support can actually see the machine. Most operators dispatch anyway, because a support agent working from the customer’s description has only one safe option: send a truck. That makes the most expensive response the default response. Think…

    Read More A Quarter of Your Downtime Doesn’t Need a TruckContinue

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