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Our AI solutions for CMMS
Artificial intelligence for technical and maintenance departments
Artificial intelligence at the heart of maintenance 5.0
Integrating AI into CARL CMMS revolutionizes equipment and infrastructure management.
Your AI-enhanced CARL CMMS becomes a proactive and intelligent tool, improving your operational efficiency and optimizing your maintenance operations.
Optimize your maintenance and reduce your costs with our AI-enhanced CMMS.
Why adopt AI for your maintenance?
Predictive maintenance
Anticipate breakdowns before they happen by intervening at the most opportune moment.
Recommendations
Benefit from prescriptive maintenance proposing actions to be carried out based on history and real-time data.
Automation
Automate time-consuming tasks such as scheduling, while optimizing the use of your resources.
Assistance
Get an integrated assistant to answer your everyday questions, such as troubleshooting.
Our AI-enabled solutions for maintenance 5.0
CARL Predict
IoT and predictive maintenance platform for real-time data analysis.
CARL Predict, based on BL.Predict technology, is a predictive maintenance solution using artificial intelligence. The use of AI combined with IOT makes it possible to anticipate equipment breakdowns by analyzing data in real time. Connected to the CARL CMMS, it optimizes Maintenance work by identifying weak signals of failure, and suggests appropriate preventive actions.
Based on , CARL Predict improves the reliability and performance of equipment and infrastructures.
Tested and approved by :
Definition of Machine Learning
Machine Learning (ML) is a branch of artificial intelligence that enables computer systems to learn from data without being explicitly programmed.
In the context of maintenance, Machine Learning (ML) is used to analyze historical, sensor or performance data in order to predict failures or diagnose problems. This enables predictive maintenance to be optimized by anticipating failures before they occur.
+15%
Optimizing equipment performance
-25%
Lower operating costs
-15%
Reducing energy costs
Our pioneering client partners
To guarantee performance tailored to the maintenance business.
CARL Optim
Resource planning optimization tool.
CARL Optim automatically generates tour schedules for maintenance operatives, based on business constraints such as machine availability schedules and operative authorizations and skills.
Designed to optimize the planning and routing tasks of maintenance technicians, CARL Optim contributes to energy sobriety by reducing travel times and journeys made by maintenance workers, thanks to route optimization algorithms.
+30%
Productivity gains
+15%
Kilometric gains
+50%
Saves planning time
CARL AI.Gen
Generative AI for enhanced CMMS.
CARL AI.Gen is a maintenance helper integrated into CARL CMMS. Assisting users on a daily basis, it provides support for all CARL products and options (CARL Source, CARL Touch, CARL Flash, etc.).
Its technology is based on generative AI algorithms and Large Language Models (LLM). It draws on various knowledge bases to put CMMS to work for its users.
Technological development partnerships
Numerous AI projects to come
A maintenance helper capable of analyzing historical data with a simple voice command, simplified report creation ….
Keep up to date with our innovations.
Follow us on LinkedIn!+35%
Increased productivity
+20%
First time to fix
-25%
Maintenance work times
Our answers to your questions about CARL CMMS generative AI
FAQ – Frequently asked questions
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What are the key benefits of AI in a CMMS solution?
AI brings a number of advantages to CMMS applications, including :
- Predict breakdowns before they happen.
- Optimize preventive maintenance schedules.
- Reduce equipment downtime.
- Improve decision-making through predictive analysis.
- Optimize use of resources and inventory.
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How does AI support predictive maintenance in CMMS?
AI enhances predictive maintenance in CMMS by analyzing historical and real-time equipment data. It uses machine-learning algorithms to detect anomalies, predict potential failures and recommend preventive actions, thereby reducing unplanned breakdowns and optimizing maintenance work.
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How does Artificial Intelligence in CMMS contribute to improving equipment reliability?
Artificial Intelligence in CMMS improves equipment reliability by detecting signs of deterioration at an early stage, predicting potential breakdowns, and recommending targeted preventive maintenance work. This proactive approach keeps equipment in optimum condition, reducing unexpected breakdowns and extending its lifespan.
AI can be useful for all types of maintenance, including :
- Predictive maintenance (anticipating breakdowns before they occur).
- Conditional maintenance (based on the actual condition of the equipment).
- Optimized preventive maintenance (planned at regular intervals).
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How is data security ensured with AI in CMMS?
Like all data stored on CARL Berger-Levrault products, we guarantee complete security for your information. Your data is hosted in our datacenters in France and Europe. These datacenters are ISO 27001-certified to guarantee your data is perfectly secure.
More information on data security.
