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As maintenance technology continues to advance, staying current with new tools and systems can significantly impact operational efficiency and effectiveness. Let's explore what's next on your learning journey.

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Discussion Topic: Which new maintenance technologies or tools do you plan to learn in 2025?

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This could include:

  • Advanced CMMS features
  • Condition monitoring tools
  • IoT sensors and systems
  • Mobile maintenance solutions
  • Data analytics platforms
  • Automation tools
  • Predictive maintenance software

Share what technology you're planning to learn and how you expect it to impact your work. What challenges do you hope this new technology will help solve? What made you choose this particular tool or system?


Your response might help others discover new tools they hadn't considered, and you might learn about solutions you weren't aware of.


Share your thoughts in the comments below! Let's learn from each other's technology roadmaps. šŸ‘‡

Iā€™m looking forward to learning more and further utilizing the predictive maintenance software. There are several tasks and maintenance items here at our community that require us to keep tabs on certain things so it would be helpful to really get to know the ins and outs of the software.Ā 


I would like to deepen my understanding of IoT technology and data collection using MaintainX, specifically focusing on tracking the functioning hours of equipment in real time. Additionally, I am interested in learning how to collect and analyze performance data, such as tons per hour, to optimize equipment usage and maintenance schedules. Integrating this data into the MaintainX platform would reallyĀ  help improve decision-making and enhance overall efficiency in our operations.


I am planning to learn a lot about improving our predictive maintenance opportunities by leveraging CMMS data collection tools and automations to generate timely reports and ā€œflagā€ potential issues before they begin to cause downstream problems. Building the groundwork for IoT will help enable our company to better integrate ourĀ data collection processes in the future. I am also excited to learn the ā€œins and outsā€ of MaintainX since we will be new to the platform this coming January.


The first priority on my learning radar is maximizing the use of MaintainX Automation. This platform has the potential to streamline operations and enhance productivity. By delving deeper into its automation features, I aim to:

  • Increase Efficiency: Automate repetitive tasks to free up time for higher-value activities.

  • Enhance Data Utilization: Leverage reports and analytics for better decision-making.

  • Standardize Processes: Create consistent workflows across teams and projects.

To achieve this, I plan to:

  • Explore advanced automation features and integrations within MaintainX.

  • Work closely with team members to identify areas where automation can be implemented.

  • Regularly assess and refine workflows for continuous improvement.


Iā€™m looking forward to implementing IoT sensors for my facilities. Weā€™ve already started monitoring cooler temperatures in our restaurants and see potential to bring many other assets online with data tracking. We donā€™t always get reports of failures, indications of failures, etc. and the data is really helping to reduce downtime.Ā 

Working at a ski resort, we also see frozen spaces and frozen plumbing all too often. Simple sensors to create work orders for temperature thresholds, for example, can be huge for us.


Currently my goal is to help manage more predictive maintenance. With the field that IĀ am in IĀ manage a plethora of vehicles and heavy equipment.Ā Ā This would be beneficial as a company in order to help prevent future break downs and manage the life of each of our pieces of equipment. Right now, portions of the application help manage this but, it would be nice to have some more in-depth perspective. Some of my minor maintenance is $30,000 or more. I would like to be able to manage the potential outlook and life once a repair has been made. This way the company and I can better gauge the time to trade in sell ect.Ā Ā 


I am planning to dive into IoT because IoT can provide real time data and give me insight to help monitor and detect issues beforeĀ leadingĀ to any failure. The efficiency and longevity of our plastiblow machines are incredibly important to our company and Minimizing downtime with this preventative insight could help my company fulfill orders almost seamlessly.


I'm excited to learn more and make better use of the predictive maintenance software. Our community has several tasks and maintenance needs that require close monitoring, so becoming familiar with the software's full capabilities will be incredibly helpful.


With the way weā€™re growing an expanding with even more licenses, certifications, and inspections than we can count I'm most excited about predictive maintenance systems that can keep us ahead of issues that would push us backward.


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