Consistent Coffee Quality Across Every Facility

Standardize roasting profiles, detect quality issues in real time, and reduce reliance on manual tasting and site visits — with MontBlancAI.

Dairy processors face a unique blend of operational complexity and quality control demands. From pasteurization to fermentation, CIP to packaging, every step must balance hygiene, efficiency, and precision.

MontBlancAI empowers plant teams to detect anomalies early, reduce unplanned downtime, and continuously improve yield — without overwhelming operators with alerts or manual analysis.

The Challenges

Product recalls in the coffee and beverage sector can cost $50,000 to $500,000+ per incident, factoring in logistics, disposal, and brand damage.

Food Industry Recall Statistics – FDA & IFSQN

Manual quality control — especially cupping across multiple facilities — often occurs once or twice per week per key operator, consuming significant staff time and delaying issue detection.

Rosso Coffee Roasters, The Roasters Pack

Flavor inconsistencies across facilities can lead to customer complaints and lost sales — with even a 0.5°C variance in roasting temperature impacting flavor profiles noticeably.

Specialty Coffee Association (SCA)

The benefits

Deeper Operational Insights
Uncover trends and patterns with advanced analytics tailored to manufacturing processes.
Higher Data Accuracy
Ensure precision in production tracking with automated and validated data collection.
Cross-Functional Collaboration
Break silos by enabling real-time collaboration across teams and locations.
Instant Alerts & Notifications
Receive automated alerts the moment anomalies or threshold violations occur.
End-to-End Traceability
Track materials, batches, and processes across the full production chain — from input to output.

How Our Platform Optimizes Your Production

Track & Trace

Ensure product quality and compliance with end-to-end batch tracing. Quickly and easily trace defective products back to their sources with historical data from batch tracing.

Anomaly Detection

Threshold Alerts

Let our AI-powered anomaly detection algorithms identify faults in your production process. Get instant notifications when issues arise so you can take immediate action and minimize waste.

CIP Validation

Validate your CIP (Clean-in-place) or production cycles in mins (not hours) with just a few clicks.

How Leading Companies Transform their Operations

Continuous CIP Validation

Hundreds of Saved Staffing Hours

Monitoring and validating Clean-in-Place (CIP) processes can be a complex, time-consuming, and costly process, particularly for relatively modest operations. However, production intelligence software powered by AI can make it significantly easier. That’s why a German dairy, processing more than two million liters of milk, turned to MontBlancAI for help. Producing high-quality milk, cream, yogurt, cheese, and butter, the dairy relies on CIP to clean and sanitize equipment and pipelines, ensuring product hygiene, quality, and safety.Was there a way to streamline and enhance the existing CIP processes? Let’s take a look.

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Enhanced OEE

10% Uplift for a Filling Machine

A manufacturing facility was struggling with filling line inefficiencies, despite seemingly stable monthly performance reports. Frequent, untracked short stops and unclear performance fluctuations were silently eroding productivity. By leveraging MontBlancAI’s advanced production monitoring tools, the facility uncovered and addressed these issues, delivering a remarkable 12.4% increase in Overall Equipment Effectiveness (OEE) within just six weeks. This case study details the challenge, the innovative approach, and the eventual results.

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