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.

Industrial laundries must balance performance, hygiene, and regulatory compliance — while handling high volumes of textiles, fluctuating demand, and resource-intensive processes. From washing and drying to water recycling, chemical dosing, and energy management, every step must be tightly controlled.

MontBlancAI equips operators with real-time visibility, early anomaly detection, and intelligent alerts — helping you reduce downtime, cut water and energy consumption, and ensure consistently high service quality.

The Challenges

Unexpected equipment failures — from pumps and heat exchangers to dryers — can disrupt operations for days, creating costly downtime and delivery delays.
Industry reports & operator interviews
Energy use for washing, drying, and finishing can represent 50–70% of total operational costs, driven by heating, steam generation, and drying processes.
Energy Efficiency in Industrial Laundry Operations – European Textile Services Association, 2024
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.
Water and Energy Consumption in Industrial Laundries – Journal of Cleaner Production, 2023

Your benefits of using MontBlancAI

Deeper Operational Insights

Uncover trends and patterns with advanced analytics tailored to manufacturing processes.

Reduced Operating Costs

Cut waste, reduce manual effort, and avoid unnecessary downtime through intelligent automation.

Instant Alerts & Notifications

Receive automated alerts the moment anomalies or threshold violations occur.

Greater Production Visibility

Gain real-time insights into your operations to identify bottlenecks and optimize performance.

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

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.

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.