Smarter Industrial Laundry Starts With Insight
Detect inefficiencies, optimize water and energy use, and prevent equipment issues — with AI that enhances sustainability and process stability.
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
Unexpected equipment failures — from pumps and heat exchangers to dryers — can disrupt operations for days, creating costly downtime and delivery delays.
Energy use for washing, drying, and finishing can represent 50–70% of total operational costs, driven by heating, steam generation, and drying processes.
Large industrial laundries can consume up to 20 liters of fresh water per kilogram of textiles processed, making water efficiency a critical sustainability and cost factor.
The benefits
How Our Platform Optimizes Your Production
CIP Validation
Validate your CIP (Clean-in-place) or production cycles in mins (not hours) with just a few clicks.
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.
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.
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.
