Food and beverage manufacturing combines continuous and batch production with its own complexity: constant labor turnover, oversight from more than a dozen jurisdictions, and margins where ingredient decisions can make or break a product.
Where F&B lines lose margin
Product is lost in pipes and tanks, overfill, trimming, shrink, and drain loss during changeovers — small losses that compound fast at production volume. The platform connects process conditions to finished-product outcomes, predicts yield before a run ends, and recommends centerline conditions that reduce giveaway.
Moisture, pH, Brix, viscosity, and fill weight are tested after production or at intervals, so a run can drift out of spec before anyone knows. The platform predicts these trends while the run is live and flags drift early enough to act.
Fillers, cappers, labelers, and case packers rack up jams, misfeeds, and micro-stops that plants know about but can't isolate. The platform finds the recurring drivers and ranks fixes by financial impact, improving OEE where it's most visible.
Fair Question: "Is this AI that makes things up?"
ProcessMiner is not a general language model guessing at your process. It builds narrow, validated, domain-specific models from your line's own sensor and historian data: temperature, pH, viscosity, flow. Quality predictions are checked against every new lab value, continuously. There is nothing to hallucinate; there is only your data, modeled and verified.
Each model predicts one quality metric on one line. It does exactly one job, and its accuracy is measured against your lab results every day.
Every new lab value retrains the model. If performance degrades, the platform switches modeling methods automatically.
Models are built from your facility's historical data, not industry templates. Your data does not train anyone else's models.
Temperature, pH, viscosity: the platform predicts where the metrics that define your product are heading, every 30 seconds, so a drift is corrected before it becomes rework or waste.
When quality goes out of bounds after an ingredient or formulation change, the platform ranks the most likely contributing variables in minutes, so the line isn't down while the team argues about what changed.
Root cause, ranked
PM AI Agent combines live process data, root cause findings, and your plant's own documents (SOPs, equipment manuals, downtime logs) to answer production questions in plain language. What your best operator knows stops being a single point of failure.
Example of an operator asking PM AI Agent about live production conditions, predicted limits, root causes, and plant documentation.
Simulated conversation. On your line, PM AI Agent answers from your live data, SOPs, and RCA findings.
Proven mechanics, applied to food & beverage
We'll show you how the platform maps to your line's quality metrics and what a pilot would look like on your data.
Historian connected in ~30 minutes. Full deployment in under two weeks.
Get in touch
Whether it's our platform, your process, or a free in-depth process data analysis and pilot you'd like to see in action, let us know.
