Predictive Maintenance Software
Real-time maintenance with IoT sensors
Boost reliability and reduce downtime with predictive maintenance solutions powered by IoT connectivity and real-time analytics.
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Increase uptime
Reduce unplanned breakdowns and increase asset reliability with predictive maintenance.
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Increase productivity
Streamline your maintenance program with maintenance scheduling and automation.
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Increase connectivity
Integrate IoT sensors and EAM/ERP systems for a complete view of your data and asset performance.
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- MODULAR IoT
- REAL-TIME INSIGHTS
- PREDICTIVE DATA
Modular IoT predictive maintenance
Seamlessly connect IoT devices for real-time insights and unlock advanced analytics with modular, user-friendly dashboards that simplify maintenance management.
- Plug-and-play condition monitoring sensor setup
- Instant notifications when sensor levels reach trigger thresholds
- Automatic logging of monitoring data for each piece of equipment
Real-time actionable insights with predictive analytics
Leverage maintenance analytics to gain visibility into asset condition and lifecycle through automated reporting that predicts equipment failures before they occur.
- Access real-time actionable data on asset condition and failure modes
- Perform root cause analysis to prevent future failures and downtime
- Build cost-effective, proof-of-concept maintenance strategies to optimize asset management
Harness predictive data for maintenance operations
Elevate your preventive maintenance strategy with machine data that drives continuous improvement and streamlines maintenance processes.
- Identify optimal routine maintenance windows using usage and productivity data
- Align with lean production principles through data-backed PM schedules
- Automate the triggering of maintenance tasks for seamless workflows
“Everyone picked it up quickly and suddenly all our maintenance requests that had been up on the wall were now on our phones and laptops. It simplified the operation for absolutely everyone here”
AJ Popovic Maintenance Technician VIEW CASE STUDY
Limble takes predictive maintenance to the next level. See how in a personalized demo from our team.
FAQ for a predictive maintenance software
What is predictive maintenance software?
Predictive maintenance software (key feature of CMMS), leverages data analytics, machine learning, and artificial intelligence to monitor equipment health. It predicts failures before they occur, enabling condition-based maintenance and proactive solutions tailored to your maintenance needs.
What are the benefits of using predictive maintenance software?
Predictive maintenance solutions reduce unplanned downtime, lower maintenance costs, extend asset lifespans, and enhance safety. They drive operational efficiency, enable digital transformation, and deliver significant cost savings.
What types of industries can benefit from predictive maintenance software?
Industries like manufacturing, energy & utilities, healthcare, and transportation use predictive maintenance to optimize equipment performance, manage maintenance workflows, and reduce operational disruptions.
Does predictive maintenance software integrate with existing systems?
Yes, predictive maintenance solutions integrate seamlessly with IoT devices, EAM, ERP systems, and work order management tools, enhancing functionality and data flow.
How much data is needed to implement predictive maintenance effectively?
Predictive maintenance hinges on quality and relevance of data rather than sheer volume. Typically, a few months of accurate sensor readings and maintenance logs can establish a solid baseline, but assets with longer operational cycles may require up to a year of continuous data to build reliable predictive models.