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    Terms and conditions

    By checking this box, I certify that I have read and accept the conditions applicable to the processing of my personal data.

    • Show conditions

      Some of the information you provide in the above documentation request form is Personal Data. We inform you that this data is processed by CARL Software and that it is subject to our personal data protection policy. In the context of sending the form, your Data will be used for commercial contact purposes by CARL Software, to send you the information you have requested, or more generally information about our events, products or services. They will be kept for a period of 3 years from their collection and are intended for the commercial and communication teams of CARL Software. By contacting us via this form, you consent to the use and storage of your personal data for the purposes and duration mentioned above. In accordance with the applicable regulations, you have a right of access, rectification, portability, erasure of your personal data and a right to request a limitation of the treatment carried out. These rights and their implementation are detailed in personal data protection policy.

    GMAO - CMMS EAM Software


    Artificial Intelligence and CMMS

    • 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.
    • 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.

    • 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).
    • 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.


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