5-10% Reduced

Maintenance Costs

10-20% Increased

Equipment Uptime

20-50% Decreased

Maintenance Planning Time

40-60% Reduced

MTTR (mean-time-to-repair)

10-30% Increased

Asset Service Life

45% Increased

Amortization in 1 year

10-25% Reduced

Carbon Emissions

1.5 - 2 X ROI

On ESG Investment

25-40% Reduction

In Waste

35-45% Reduced

Production Downtime

20-30% Increase

In Production

10-15% Increase

In Bottom Line

50-70% Reduced

Product Defects

15-25% Increase

In First-Pass-Yield

20-40% Reduction

In SPC Alerts

XMPro’s Model-Based Predictive Maintenance Approach

Combine the best of Physics with the best of AI for the best predictions from an Intelligent Digital Twin​

Use XMPro Blueprints for Quick Time To Value​

Easily import Blueprints, Accelerators and Patterns into your environment, providing a starting point for configuring your own solutions.
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Getting Started: XMPro’s 3-Step Process To Success:

Our Unique 3 Step Process to Prioritize, Predict, and Propel at Scale​

XMPro’s 3-step process in model-based predictive maintenance uniquely combines continuous ‘bad actor’ analysis, a hybrid of traditional and AI models for real-time predictions, and provides ready-to-use blueprints for quick implementation. This structured and tech-enhanced approach, along with accelerated deployment, sets it apart in the predictive maintenance market.

Step 1. Prioritize Bad Actors First

Start your predictive maintenance journey by addressing the most critical elements. XMPro’s Intelligent Digital Twins continually monitor operational assets, providing constant bad actor analysis.​ By identifying and focusing on these critical components, our solution generates practical recommendations, ensuring your predictive maintenance efforts are precisely targeted for optimal outcomes.​

Step2. Predict in real-time with a hybrid model-based approach​

Experience the power of the XMPro hybrid model-based approach, seamlessly integrating traditional engineering principles with agile AI models. ​Our model-based PdM approach delivers real-time insights and facilitates proactive measures, safeguarding against potential failures, production losses, and quality discrepancies. ​​With XMPro, achieve a balanced combination of accuracy and timeliness in predicting asset behavior.​

Step 3. Quick Time to Value with Blueprints and templates​

Expedite your predictive maintenance implementation with our ready-to-use blueprints and templates. XMPro offers a comprehensive array of starting blueprints for various asset classes, ensuring a smooth and effective onset to your predictive maintenance endeavors. ​

Our templates serve as a springboard, accelerating the time to value and propelling you towards achieving superior asset reliability and operational efficiency.​

XMPro, Your All-In-One Predictive Maintenance Solution:

How do we do this With XMPro iDTS?

Wield Your Data Powerfully In Real-time with XMPro Data Stream Designer:

  • Integrate data from all of your IoT devices, operational systems, and a myriad of external sources using our extensive integration library.
  • Sanitize, wrangle and extract meaning from your data using our powerful action agent library.
  • Perform advanced data transformation in real-time.
  • Embed AI-models and machine learning capability within real-time dataflow.
  • Easily design and visualise your data flow from origin to action using  intuitive drag and drop functionality.

AI-driven Insights with XMPro AI:

  • Seamlessly integrate AI models that not only help to prevent equipment failure, but self-learn for continuous improvement.
  • Transform AI Models into powerful assets that drive business growth and efficiency through goal-seeking behaviour.
  • Leverage XMPro’s AI capabilities to enhance decision support and automation using large language models securely trained on your business data.

Comprehensive Visualizations with App Designer:

  • Interactive dashboards provide a holistic view of operations.
  • Customize your app designs with a user-friendly drag & drop system.
  • Share visual reports with stakeholders for informed decision-making.

Prescriptive Recommendations:

  • Receive actionable insights based on a combination of business rules and AI logic.
  • Ensure users receive the most appropriate next steps when a specific event occurs.
  • Monitor actions against their outcomes for continuous improvement.

Use Cases & Success Stories

XMPro Consistently Delivers 10x ROI

CLIENT CHALLENGE:

In order to maximize underground mining operations, the underground conveyor system, a frequent cause of unplanned downtime, needed to reduce its downtime by 30% as an initial target for a predictive maintenance solution

XMPRo SOLUTION

XMPro actively monitors 52 conveyors (spanning over 80+km) in real time, predicting fluid coupling and lagging failures with prescriptive recommendations.

Benefits:

Within five months, the solution identified a potential saving of 184 hours of borer downtime, equating to 44k product tonnes. Exceeding the target, the solution achieved over a 80% reduction in downtime for fluid coupling failures. It now monitors multiple asset types across several mines

Not Sure How To Get Started?

No matter where you are on your PdM journey, the expert team at XMPro can help guide you every step of the way – We have helped clients successfully implement and deploy in only a matter of weeks!

Request a free online consultation for your business problem.

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Predictive Maintenance Video Series