eventexhibitionZero-Loss Factory
What we're taking home from Alimentaria FoodTech 2026
¡Hola desde Barcelona! Three days at Alimentaria FoodTech, a busy stand, and on Tuesday a walk up to the FoodTech Innovarena, where Julia and Anna collected the FoodTech Innova Award 2026 in the Sustainability & Circular Economy categor …
The loss that never made it onto your P&L
The line item that isn't there Open your P&L and you can find almost everything. Raw materials. Energy. Labour. Maintenance. Depreciation. Every euro that leaves the business has a row, an owner, and a trend line someone watches.
The AI project that makes sense
Most industrial AI stays a pilot. Collo's ran on one beverage plant's CIP line and returned €542,000 a year. Every board has funded AI by now. Dashboards, copilots, a predictive-maintenance pilot or two. Ask what any of it returned last yea …
What the legacy instruments could never see
The instruments agree. The product still isn't right. Walk the control room of a well-run dairy plant and every screen tells you the same thing: flow meters reading normally, conductivity in range, no alarms. By every instrument you own, th …
Some factories already run on Zero-Loss
... The rest have a 2030 problem. A plant in 2029 Three years from now, walk a European dairy or beverage plant at 03:00. The CIP cycle is finishing on a cream line, on a juice line, on a soft-drink filler. It is finishing because the line …
Collo wins the World Dairy Innovation Award 2026
What a night. There's something about Barcelona in June — the light, the warmth, the buzz in the room — and now there's a trophy to carry home! We're at the Global Dairy Congress, and last night the World Dairy Innovation Awards 2026 named …
Closing the AI loop in liquid production
Where this gets real: changeovers, cleaning, and the cost of running blind Parts 1 and 2 explained that Industrial AI has lagged for structural reasons, and getting past them takes four things rather than a bigger model: a real-time signal …
What good industrial AI actually looks like
Four things industrial AI has to get right before it earns a setpoint Part 1 argued that industrial AI lagged for structural reasons, not technical ones. Getting past them takes four unglamorous things, none of which is a bigger model.
Why the factory floor is the hardest place to put AI
Industrial AI isn't behind because it's late. It's behind because it's harder. Generative AI went from curiosity to boardroom mandate in about two years. Industrial AI has been "almost ready" for a decade. If you run a production operation, …
Why hygienic design is the next frontier in inline measurement
Not all sensor connections are created equal – and in food and beverage production, the difference can be measured in microbial risk, cleaning efficiency, and regulatory exposure. The conversation about inline process measurement has mature …
