Food & Beverage
Stop Losing Yield, Quality, and Throughput to Variability You Can’t See
Your food and beverage plant data already holds the answers. ProcessMiner’s AI finds them in real time — predicting quality issues, correcting your process automatically, and turning variability into a measurable competitive advantage.
Predict Product Quality
Increase Throughput & OEE
Reduce Scrap & Giveaway
Strengthen Compliance & Traceability
Food & Beverage Manufacturers Are Sitting on the Answer to Their Biggest Problems
Your data is already telling you something. The question is whether you’re hearing it in time.
You’re collecting more process data than ever — from PLCs, SCADA, historians, MES, and QA systems. But dashboards only show you what already went wrong. Meanwhile, your operators are firefighting, your engineers are hunting root causes, and every off-spec batch and unexplained slowdown costs you margin you can’t recover.
Batch-to-Batch Variability
Raw material variation, process drift, and shift differences create inconsistency that shows up as scrap, rework, and failed customer specs.
Reactive Quality Control
By the time the lab flags a problem, you’ve already made bad product. End-of-line checks measure waste. They don’t prevent it.
Productivity Loss
Microstops, slow changeovers, and cautious line speeds cap your OEE. The causes are buried in data you already have — but can’t act on fast enough.
ProcessMiner™ AutoPilot — From Reactive to Proactive, Automatically
ProcessMiner connects to the systems you already have, builds predictive models for your most critical KPIs, and delivers real-time corrective recommendations — automatically. Traditional tools tell you what happened. ProcessMiner tells you what’s about to happen, and acts.
Manufacturers using ProcessMiner average a 20% increase in throughput, with measurable reductions in scrap, giveaway, and quality holds. Most deployments deliver measurable results within weeks, not quarters.
Manage Process Drift in Real Time
Minimize Raw Material Waste
Reduce Energy & Utility Consumption
Standardize Best Practices Across Shifts & Plants
Industry 4.0 for Food & Beverage Manufacturing
ProcessMiner works with your existing systems and your specific products. Here’s where it delivers results:
Quality Prediction & Control
ProcessMiner forecasts quality characteristics — moisture, viscosity, Brix, fill weight, texture — before a lab result is ready. Operators are alerted the moment a drift begins — replacing end-of-line reactive inspection with predictive quality control that acts before defects are made. AutoPilot can adjust setpoints automatically, within your approved limits, to keep quality on target without waiting for human intervention.
Yield Optimization & Waste Reduction
Overformulation and overfill are expensive habits — especially with high-cost ingredients. ProcessMiner’s food manufacturing yield optimization works by identifying the true relationship between your process and your output, letting you run closer to spec without compliance risk. Less giveaway. Less rework. Better margin.
Throughput & OEE
Your throughput ceiling usually isn’t mechanical — it’s process instability. ProcessMiner identifies the exact conditions that precede slowdowns and jams, giving operators early-warning signals to act before the line slows down. Run faster, without sacrificing quality. That’s sustainable OEE improvement — driven by data, not guesswork.
Raw Material & Supply Chain
Raw material variability management is one of ProcessMiner’s highest-value use cases for food manufacturers. A new supplier lot shouldn’t mean a bad batch. ProcessMiner models how material properties affect your output and recommends real-time process adjustments to compensate — keeping quality consistent regardless of what comes off the truck. Those insights also give procurement data to negotiate with.
Compliance & Traceability
ProcessMiner logs process conditions, AI alerts, and operator responses automatically — building the digital audit trail that customer audits require today and that FSMA 204 traceability compliance will require by 2028. Starting now means arriving prepared, not scrambling. Earlier detection also means a smaller recall footprint if something goes wrong. That’s brand protection built into your daily operations.
%
avg. throughput increase
Across ProcessMiner deployments
predictive models
Built on your production data
Real-time
closed-loop control
Autonomous adjustments via AutoPilot
Zero
new hardware required
Connects to existing PLCs, SCADA, MES, historians
Does ProcessMiner require new sensors or hardware to work in a food and beverage plant?
No. ProcessMiner connects to your existing PLCs, SCADA, historians, MES, and QA systems. No new hardware, no rip-and-replace.
How long does it take to deploy ProcessMiner in a food and beverage facility?
We start with one or two high-value use cases — quality prediction on a key line, or yield optimization on a high-cost product — with models live in weeks. You expand from there based on results.
Can ProcessMiner help with FSMA 204 food traceability requirements?
Yes. The FDA’s Food Traceability Rule (FSMA 204) requires manufacturers of high-risk foods to maintain detailed digital records of Critical Tracking Events — with full enforcement now set for July 2028. ProcessMiner captures that documentation automatically as a byproduct of normal operations, so compliance readiness builds over time rather than all at once.
How does ProcessMiner handle raw material variability in food manufacturing?
ProcessMiner tracks material characteristics by supplier and lot, models their impact on your process, and recommends real-time adjustments to keep output consistent when inputs vary.