Maintenance involves a lot of moving parts, which means more chances for something to go wrong. And when problems arise, you want to tackle them with as much information as possible. In other words, you want problem-solving to be predictable. Data is a key ingredient in achieving this goal.
We look at 5 ways to use data to solve common maintenance issues and lead your team to success.
Future of analytics and data
This article walks you through what data to use and how to use it. While you can follow along if your data is in spreadsheets or file cabinets, we’re using the Fiix analytics tool to illustrate the process. Fiix analytics is visual and interactive so you can get a clear view of how to drill into your data and find the answers to your biggest questions.
1. How do I make sure the right maintenance is being done at the right time?
The average facility manages 45 work orders a week. With so much to do (and so little time to do it in), you know how important it is to focus your team’s efforts in the right place. So, this question really has three sub-questions—am I doing too much maintenance, not enough maintenance, or the right amount of maintenance on an asset?
The first step to answering these questions is to identify the assets with lots of work orders associated with them. Then, filter these work orders by asset and maintenance type.
First, look for assets with few or no corrective work orders associated with them. This means you’re probably doing PMs too frequently on these assets and can cut the frequency of scheduled maintenance.
Assets with not enough preventive maintenance will have lots of emergency work associated with them. Also, look for assets with lower maintenance costs compared to assets of a similar type as that is often a sign that they aren’t getting enough maintenance. Increase the frequency of PMs on these assets.
The right amount of maintenance shows frequent and corrective work orders associated with assets.
2. How is maintenance affecting the performance of equipment?
To get a picture of how maintenance is impacting equipment performance, start by collecting information on assets with associated downtime. Next, filter those assets into two categories – planned and unplanned downtime. Rank those assets by unplanned downtime. Assets with more unplanned downtime are the ones you want to tackle first as they have the biggest negative impact on your company and the most opportunity for improvement. You can further filter those assets by maintenance costs associated with them. The assets with the most downtime and highest costs are where to begin adjusting your strategy.
The next step is to dive into the notes on the emergency work orders attached to those assets. Find out what the most common problems and causes were, and make changes to address them. For example, has a bearing continually failed because of improper lubrication? A simple change might be to increase the frequency of lubrication and specify the proper amount of lubrication needed in each instance.
Revisit this report to see if your adjustments have made a difference. If unplanned downtime and maintenance costs drop across 30, 60, and 90 days, you now have data to support your decisions and show how they impact production.
3. How can my facility organize our storeroom so parts are easily accessible?
An unorganized storeroom can pose more problems than just being messy. It makes it hard for technicians to access parts when they need them most leading to delays and potential breakdowns.
To tackle this problem head-on, collect data on assets with the most emergency work orders attached to them.
Take note of what parts are associated most with that emergency work and the equipment they’re needed for. Once that has been determined, you can kit those parts together. Parts kitting makes getting parts easier and more accessible when emergency work is triggered.
For this to work in the first place, this data needs to be tracked and updated frequently. Each time a tech reaches for a spare part, that data should be updated. It gives you an accurate sign of which parts are used frequently and how often they are attached to reactive work.
4. Where should I be allocating my maintenance budget?
Figuring out where to spend your maintenance budget can be a headache and can be even harder to justify that spending.
Let’s say that increasing your team’s headcount would help clear some of the facility’s backlogged maintenance. That decision comes down to two factors— do I hire more in-house employees or more contractors? That big budget consideration is hard to justify without proof.
To begin making your case, collect all the information you can about work done in the last quarter to a year. Was it done mostly by internal employees or contractors?
By looking at each category, add up the total spend associated with each. Take into account costs like employee salary and benefits, contractor’s hourly pay, and training. Each has its cost benefits and disadvantages.
Based on those costs, you can make a pretty clear case to your department, based on dollar value, if it’s more cost-effective to hire internal employees or more contractors. Those stats can help justify why spending on additional hires is necessary.
5. What obstacles are our technicians facing?
It’s easy for technicians to get caught up in their workload when things get busy. Completion notes aren’t updated or information is missed on work orders. It may not seem like a big deal the first time, but once it becomes a habit, it can become an obstacle for other technicians.
As a maintenance manager, you can help enforce the importance of having complete information. One of the ways you can tackle this obstacle is by conducting bi-weekly checks to find work orders with missing information or incomplete notes.
Look for trends in those work orders. Was it done by the same technician? Is it the same type of information being missed? Consider looking at the type of maintenance associated with these work orders. Consider having a department-wide info session on the importance and benefit of filling out work order completion notes.
If it’s the same technician, take a look at their logged hours. If they are doing more hours than the average, it might mean they are simply logging too many hours and might be overworked.
Making it a habit to check for these inconsistencies on a regular basis might make a big difference in the performance of your employees and your facility.
Seeing the bigger picture leads to bigger gains
Your facility has lots of moving parts and keeping track of them all manually can be time-consuming. Using an analytics reporting tool provides a visual representation of your facility’s moving parts. In addition, it gives the power back to the maintenance department, allowing them to tackle problems as they arise and lead their team to solution-oriented work culture.
Work orders are the engine of your maintenance operation. They power your team and move work from point A to point B. But there are millions of engines in the world, from rusted duds to high-powered studs. This article is about mastering the maintenance work order so your operation can run as smooth as a luxury sports car.
What is a work order?
A work order is a document that provides all the information about a maintenance task and outlines a process for completing that task. Work orders can include details on who authorized the job, the scope, who it’s assigned to, and what is expected.
Work orders are the engine of your maintenance operation. They power your team and move work from point A to point B.
Work orders are crucial to an organization’s maintenance operation. They help everyone from maintenance managers to technicians organize, assign, prioritize, track, and complete key tasks. When done well, work orders allow you to capture information, share it, and use it to get the work done as efficiently as possible.
Work order vs work request
While a work order and work request sound similar, they have a few key differences. A work request is used by non-maintenance staff to make the maintenance team aware of a task. For example, a machine operator might submit a work request when equipment breaks down. The work request is reviewed by a maintenance manager, who adds extra information, schedules the task, and assigns it to a technician. The work request is now a work order.
Types of work orders
There are five main types of work orders used in CMMS software, including general work orders, preventive maintenance work orders, inspection work orders, emergency work orders, and corrective maintenance work orders. Below are details of each type of work order and when to use them.
General work order
A general work order includes maintenance tasks that do not fall under the category of preventive maintenance, inspection, emergency, or corrective maintenance work orders. General work orders may include tasks like setting up new equipment, taking down equipment no longer in use, or painting.
Preventive maintenance work order
Preventive maintenance (or preventative maintenance) work orders are scheduled routine maintenance that is done on assets to prevent costly equipment failure and unplanned machine downtime. Preventive maintenance falls between reactive maintenance (or run-to-failure ) and predictive maintenance. Preventive maintenance work orders include resource requirements, instructions, checklists, and notes for each task. They are also put on a schedule to ensure the maintenance task is performed at a specific time interval.
Inspection work order
An inspection work order indicates when a maintenance technician needs to audit or inspect the condition of an asset. This is usually based on a predetermined period of time, similar to preventive maintenance work orders. During an inspection, a maintenance technician may identify a problem and then create a new work order to correct that problem.
Emergency work order
An emergency work order is created when an unplanned asset breakdown occurs and needs to be repaired right away. An emergency work order records and tracks reactive maintenance that is performed. The maintenance technician can add details in the work order about why the asset resulted in the unexpected breakdown, what maintenance work was done on it, and information on how to prevent the breakdown from happening again.
Corrective maintenance work orders
A corrective maintenance work order is created when a maintenance technician discovers issues while conducting preventive maintenance, inspection, general, or emergency work order tasks. Corrective maintenance is performed to identify, isolate, and solve the issue so that the equipment, machine, or system can be restored to its correct condition. Unlike an emergency work order, a corrective maintenance work order is planned and scheduled because the failure was identified in time. A corrective maintenance work order may consist of repairing, restoring, or replacing equipment or equipment parts.
What is the work order lifecycle?
Every maintenance work order has a lifecycle with three main phases – creation, completion, and recording. These phases can be broken down into six steps, including task identification, requesting a work order, scheduling the work order, assigning and completing the work order, documenting and closing the work order, and analyzing the work order to help improve the process for next time. Understanding each step and having a solid work order process ensures tasks don’t get stuck in one phase and turn into backlog.
How to write a good work order in six steps
Step #1: The task is identified
Maintenance tasks fall into two groups, planned maintenance and unplanned maintenance. Planned maintenance encompasses all the jobs you know of ahead of time, like routine inspections, and unplanned maintenance includes all the tasks you can’t foresee, like an unexpected breakdown.
Step #2: The maintenance request is created
The details of the job are put together and submitted to the maintenance team for further action. For example, when a machine breaks down, an operator creates a work request and submits it to maintenance. If a task is planned, a work order is created and triggered at the proper time.
Step #3: The work order is prioritized and scheduled
Some jobs are more time-sensitive than others. A burnt-out light bulb doesn’t need to be fixed immediately, but a broken conveyor belt might. That’s why you need to prioritize every work order that hits your desk.
After prioritizing, it’s time to schedule. Work orders can be scheduled based on a set deadline, planned maintenance triggers, or dedicated blocks of time. Setting a deadline keeps everyone accountable and informed so nothing falls through the cracks.
Step #4: The work is assigned and completed
It’s time to turn those words on a page into action. The work order is assigned to a technician, who completes the task. This can be a five-minute check of equipment, or it can be a complex repair job that takes several days.
Step #5: The work order is closed and documented
Once all the terms of the work order are completed, it can be closed. Managers may need to sign off on the work order for compliance requirements. Once closed, the work order is filed away. A properly organized work order log is crucial for building asset histories, reviewing past solutions, preparing for audits, and more.
Step #6: The work order is analyzed and/or reworked
Closed work orders contain valuable information. They can provide insight into your processes and systems that can be used to fine-tune your operation. Having a work order log also allows technicians to quickly spot any missed steps or alternate solutions if an issue flares up again.
What should be in a work order?
A good work order will have 16 different sections to provide the necessary details for maintenance workers to effectively understand and complete the task at hand. The 16 components are listed below. Work orders are like anything else your facility produces – they must be made well and free of defects. If one part of the process is off, it can affect the entire line.
Asset: What piece of equipment needs work?
Description of issue: What’s the problem? What did you hear, see, smell, or feel at the time of failure or leading up to it?
Scope of work: What work is required to get the job done? What skills are needed?
Parts and tools required: Are there any parts that need to be replaced or special tools that need to be used?
Health and safety notes: What safety procedures and equipment are needed? Have there been any accidents or near-misses while working on a similar issue or asset?
Date requested: When was the work order created and submitted?
Requester name/department/contact: Who created and submitted the work order?
Expected completion date: When should this work order be completed?
Actual completion date: When was the work order completed and closed?
Expected hours of work: How many hours should it take to complete the work order?
Actual hours of work: How many hours did it take to complete the work order?
Task checklist: Is there a step-by-step guide to completing the required work?
Priority: How important is this work order? High, medium, or low?
Assigned to: Who will be doing the work? Is more than one person required? Is an outside contractor required?
Associated documents: Are there resources that can help the work order be completed more efficiently, like SOPs, manuals, diagrams, videos, asset history, purchase orders, or images?
Notes: Are there any other observations that might be helpful in completing the work order or reviewing the work order after it closes, such as the frequency of an issue, troubleshooting techniques, or the solution reached?
5 best practices for managing a work order
Just like company assets, work orders also need standard operating procedures (SOPs) to give you a baseline for creating, reviewing, and optimizing maintenance tasks. Five best practices for improving the management of your work orders are to establish your maintenance goals, KPIs, and maintenance metrics, define roles and responsibilities, decide on work order frequency, build work order triggers, and conduct work order post-mortems.
#1: Decide on goals and measurements for your work orders
Before setting up your work orders, it’s necessary to know what information you want from them. You can follow a four-step framework for this. First, start by identifying your organization’s maintenance goals. Second, define your maintenance KPIs so you know what needs to be quantified. Third, identify your team’s metrics and what they should be measuring. Fourth, use this information to guide your maintenance strategy.
#2: Define work order roles and responsibilities
Create clearly defined roles and responsibilities for each part of the work order process. Outline who can create, assign, prioritize, complete, and review work orders. This will help you avoid duplicate or unauthorized work and miscommunication.
#3: Decide on work order frequency
The frequency of when you should perform maintenance work will vary depending on the equipment and the operation it is performing. You can follow the manufacturer guidelines to help determine scheduled frequency and inspection so that assets do not fail unexpectedly. Creating a preventive maintenance schedule will help protect against costly reactive maintenance.
#4: Build work orders triggers
Determine the best way to trigger work orders automatically within your operational processes. This includes triggers that create the initial work request as well as follow-ups for failed PMs, compliance documentation, or extra work that needs to be done on the asset. There are five common types of maintenance triggers include breakdown, time-based, event-based, usage-based, and condition-based. It’s important to understand when and how to use each one to achieve maximum efficiency and reliability at your facility.
#5: Conduct work order post-mortems
Big projects and big problems deserve hindsight. Create a plan to find what went right and what went wrong on these major jobs. Then apply your learnings to the work order process.
5 benefits of using work order management software
Overseeing all the maintenance tasks across your company is definitely a challenge. Regardless of best efforts in trying to keep up with manual tasks, there will always be things that fall threw the cracks. Work order management software benefits maintenance technicians and facility managers by bringing overall efficiencies into operations. Five benefits of using work orders to manage maintenance tasks include having a centralized system where all the work order details can be found, no more need for paperwork, better budgeting and planning, easy access for maintenance workers, and regulatory compliance.
#1: You get one centralized system for all maintenance tasks
Work order management software allows you to create and track maintenance tasks all in one place. That means only one source to reference versus having to look through multiple systems to find the necessary information. With work order management software, maintenance teams can handle multiple tasks at a time, like assigning labor hours, estimating and monitoring labor and parts costs, and keeping track of safety procedures and downtime. With all work order information in one place, it becomes easier to schedule and prioritize orders according to need and urgency.
#2: You reduce your paperwork
Work order management software is able to record information automatically. As soon as you enter data into the work order, it gets saved by the system. This eliminates the need to manually enter data into paper records. In addition, maintenance technicians have 24/7 access to all the necessary work order information on their mobile devices or computers. Work order management software helps you save time by eliminating the need to sift through piles of files or clipboards in search of specific information. The system provides real-time tracking and record keeping throughout the work order process.
#3: You’re able to budget and plan more accurately
Work order management software provides a treasure trove of real-time data that enables you to accurately measure maintenance performance. Work orders keep track of every part of the process, including what work needed to be done, who did it, what did it cost, and how long did it take to complete. Having a work order management system is vital for keeping your records accurate and up-to-date. Using this information, you’re able to plan and budget better in order to reduce or eliminate stoppages and interruptions.
#4: You have easy access to information whenever you need it
Work order management software enables maintenance technicians to access work order information at their fingertips. Whether by mobile, laptop, or desktop computer, the information goes where they go. That means they have work order access no matter where they are conducting maintenance, such as in the factory or in the field.
#5: Easy to maintain regulatory compliance
Work order management software is required to comply with both national and international regulatory standards. All the work is already incorporated into the software, so this reduces the amount of time and paperwork it takes your maintenance team to prepare for an audit. Instead of getting stressed and spending hours in preparation, all you need to do is generate reports of previous work orders done through the system. In the long run, compliance becomes easy to trace and reduces exposure to noncompliance penalties.
Learn how to build work orders easier with software
Work order software vs pen and paper
Work orders have been managed with pen and paper since the day they were invented. Written work orders are cost-effective and familiar. Paper is a tool everyone is comfortable using. It takes next to no training, the upfront costs are fairly low, and there’s a paper trail for when you need to check past work.
However, this system has some serious flaws. Paper files are easily misfiled, lost or damaged. They are cumbersome and take time to find, retrieve, and sort. Inaccurate information is more likely to make its way onto a work order as details are often recorded after an incident. Response time to work requests is also slower. These factors, combined, make work less efficient and could cost you a lot of money down the line.
Some jobs are more time-sensitive than others. A burnt-out light bulb doesn’t need to be fixed immediately, but a broken conveyor belt might. That’s why you need to prioritize every work order that hits your desk.
Work order software vs whiteboards
Whiteboards are another old standby for maintenance departments. The cost of materials doesn’t stretch the budget too far and it’s certainly easy to have all work orders available to view and update in one, central place.
Like pen and paper, whiteboards have some severe limitations. Keeping records is a huge headache and it’s extremely difficult to extract information from any records you actually manage to get. This makes it almost impossible to create asset histories, prepare for audits, and build work order reports. The work order management process also gets bogged down as operators and technicians need to go to a central location to submit or view work requests.
Work order software vs excel spreadsheets
Excel spreadsheets are a step up from pen and paper and whiteboards. It makes records digital, so files are less likely to be damaged or lost. It’s also easier to search for information and create reports using this information.
But while spreadsheets raise the bar slightly, there are some factors that make it a shaky foundation for managing maintenance work orders. Some spreadsheets are locked into single computers, which makes it difficult to see up-to-date information on a work order. Even if they are cloud-based, spreadsheets don’t have the ability to automatically trigger work orders, which makes preventive maintenance extremely difficult to achieve. Inputting data and creating reports require long periods at a computer and know-how. There’s also a limited ability to track the progress of work orders, which leaves you a step behind.
Work order software vs CMMS software
Work order software is a stand-alone solution to creating and managing work orders. It ensures maintenance departments can assign work efficiently so it can been completed in a timely manner. Work order software also creates comprehensive work histories for each asset, and offers real-time updates on completed work and scheduled work. Many vendors also offer a mobile solution through an app, making it easier to document work correctly in real-time and make informed decisions on the spot.
A computerized maintenance management system (CMMS) goes beyond basic work order management, and also includes a scheduled maintenance planner, asset profiles and management, and inventory management.
Finally, one of the biggest advantages of computerized maintenance management systems is their use of mobile and cloud technology. This kind of maintenance work order software allows everyone in maintenance to create, track, complete, and analyze tasks in real-time, from anywhere—whether that’s at the scene of a breakdown or a beach in Hawaii. Technicians can bring work orders, asset histories, documents, and images wherever they go. They are also notified of new work orders as soon as they are submitted or triggered. Reports mine the data in maintenance work orders for cost, efficiency, and other metrics. For those outside of maintenance, submitting a work request through a CMMS can give them a greater sense of ownership over that work. They can track the status of their requests and it eliminates duplicate work orders. This is a key way to grow TPM at your facility and reduces the need to get updates or clarification on the task.
While CMMS software is the way of the future, it comes with costlier upfront prices, requires exceptional training and culture to make the system successful, and often necessitates more advanced maintenance techniques. However, the long-term benefits of the system more than make up for any initial shortcomings. To learn more, read our blog detailing the top 20 benefits of a CMMS.
The bottom line
Work orders are a pillar of great maintenance. When managed properly, they give your team the stability and structure it needs to be efficient. A well-built maintenance work order and work order process makes it easier to establish a preventive maintenance program and react to unplanned maintenance. Roles are defined, workflows are smoother, tasks are tracked, and information is well-documented. Choosing the right tools and systems to manage work orders is the crucial final piece of the puzzle. When it all comes together, your operation can master the fundamentals of maintenance and look for new ways to grow and succeed.
Toronto, Canada— Oct 27, 2020— Cementing its position as an industry trailblazer, Fiix has launched a new addition to its game-changing AI platform, Fiix Foresight.
The new solution— called work order insights— is an industry first, and uses AI to automatically analyze 1000s of maintenance work orders to make it easier than ever for maintenance and asset management professionals to get insights from work order data.
The announcement comes just three months after the maintenance management platform provider launched Fiix Foresight and parts forecaster, the only AI-driven parts and inventory management solution on the market.
Work order insights runs in the background of Fiix’s CMMS, which means customers can use the software like normal while the AI uses an array of machine learning algorithms to automatically comb through 1000s of work orders to surface insights and pinpoint problem areas to drill into. Customers can opt to received a daily or weekly report identifying problematic work orders, and this detailed analysis helps maintenance teams predict asset failure and reduce downtime, optimize maintenance processes across teams, eliminate waste and rework, and find efficiencies across the board.
“To be able to look into our data instead of just keeping track of work orders is really exciting for us. We can start seeing things we have never seen in the past, like patterns of failures. And instead of just fixing the issues and moving on, we can now ask ‘why are those issues happening’? To identify that is hugely important,” says Fiix customer Jose Yorba, US Asset Management in the Fire Safety Group at Perimeter Solutions.
“We’re beyond excited to bring such a game-changing technology to market. Most predictive solutions focus exclusively on asset health by using sensor data to determine asset operating condition. But this is only one piece of the puzzle. Downtime is deeply influenced by the work being done on equipment which is why we’re using AI to supercharge work orders and connect maintenance teams to the full array of data they need to cut downtime and improve asset performance,” says James Novak, CEO of Fiix.
Work orders represent a significant resource in terms of data and insights but it can be difficult for maintenance teams to manually analyze work orders due to the volume and variability of the data. Through AI, Fiix’s work order insights solution can look at all that information and understand what’s normal for a specific team and use that to flag anything out of the ordinary, replacing hours of manual work order analysis with one simple report.
80% decrease in asset downtime by identifying where maintenance routines aren’t working or where routines aren’t being adhered to, causing assets to fail needlessly.
33% decrease in maintenance costs by identifying where maintenance work is not being executed correctly, where there is excess waste in maintenance processes, and where excess re-work is happening.
50% increase in asset performance by analyzing all historical work order data in seconds, identifying performance trends affecting asset performance, and extrapolating those for all future work.
“Our goal is to remove the barriers that stop maintenance and operations teams from adopting sophisticated IoT solutions; barriers like time, cost, and effort. Fiix Foresight and our AI solutions are a great example of this in action— by fusing the benefits of industrial AI with our maintenance platform, we’re able to instantly connect customers to a no coding required system purpose-built to help them proactively detect problems, identify opportunities for improvement and make quick, data-based decisions,” says Novak.
Fiix has long been on a mission to build better maintenance teams with easy-to-use, AI-driven maintenance software, an open ecosystem, and pre-built integrations to meet the unique needs of maintenance and operations teams today and in the future. 2020 has been a big year for the Toronto-based software provider, seeing the launch of Fiix Foresight, the first and only AI engine purpose-built for maintenance as well as the company’s app exchange— a vetted network of IoT partners and out-of-the-box connectors. These new additions to Fiix’s platform, alongside its Integration Hub, make Fiix the most comprehensive and extendable maintenance solution on the market.
Want to learn more about work order insights, powered by Fiix Foresight? Contact us at info@edms-consultants.com or call us at +603 7831 9660.
Fiix, a Toronto-based asset management software provider, today announced the launch of Fiix Foresight, the first and only AI engine for maintenance.
Foresight fuses the benefits of industrial AI— data capture, pattern detection, analysis, and real-time insights— with Fiix’s market-leading maintenance platform into an easy-to-use, no coding required system purpose-built to help maintenance teams proactively detect problems, identify opportunities for improvement and make quick, data-based decisions.
“Industry 4.0 technology like software, sensors, and mobile apps are generating piles of data, which has only increased over the past few months as COVID-19 accelerates digitization across the board. But the companies that are going to thrive now are those that can put that data to work and Fiix is answering that call,” says James Novak, CEO of Fiix.
The launch follows an incredibly strong June for Fiix, with the company seeing significant momentum both in customer and revenue growth as maintenance teams globally look to modernize their operations.
Foresight represents the next step in Fiix’s mission to transform the MRO market by connecting tens of thousands of organizations, millions of assets, and an ecosystem of solution providers. It follows the introduction of Fiix’s Integration Hub and acquisition of industrial asset intelligence company Alchemy IoT in Q3 of 2019.
The first feature released on Fiix Foresight is the parts forecaster, an easy solution for manufacturers struggling to balance storerooms. It works by analyzing historical data in Fiix to predict parts needs, eliminate stockouts, and reduce the amount of working capital tied up in the storeroom.
Early beta customers using the parts forecaster are seeing a 50% increase in parts forecasting accuracy and up to 40% reduction in stockouts. Additionally, some customers have seen a 50% reduction in working capital reserved for parts— a significant number for manufacturers who, on average, keep $3-5 million in MRO parts on hand at a time. These cost-savings represent a leg up for manufacturers in a post-COVID world where any expense will be under scrutiny.
“We’re working on several different projects right now aimed at right-sizing our maintenance and right-sizing our storerooms. To do this, we’ve integrated Fiix with Majik Systems and are now integrating Fiix with our SAP. We’re really excited to get rolling with the new parts forecaster tool this year. There are going to be many benefits for us including reducing our carry costs – this could be huge for us globally,” says Tony Leombruno, CMRP, Corporate TPM Champion.
“The Fiix AI team is working on some pretty incredible stuff! And the more it runs, the better it will become at forecasting for us. This speaks to the convenience and ease of use of the Fiix system,” he says.
Parts forecaster is just the beginning for the Fiix AI engine, which will ultimately help industrial organizations coordinate and understand their people, parts, and assets and make proactive decisions that yield real business results.
“This isn’t AI for the sake of AI. In developing this solution we’ve been hyper-focused on solving big problems for our customers. The best part is that Foresight makes the Fiix solution smarter and more powerful without adding any complexity for the end-user— they just see the results,” says Novak.
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