Reducing downtime and protecting fleet margins: A practical playbook for proactive maintenance

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Well, I think we are all ready to start. So let’s dive right into today’s session, reducing downtime and protecting fleet margins.

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Okay. We’re gonna cover a couple great topics today. First, we’re gonna dive into a study we actually recently conducted with FreightWaves about the real cost of reactive maintenance. Then we’re gonna walk through just what proactive actually proactive maintenance actually looks like today, And then we’re gonna leave you with a couple of simple steps that you can take right away, and then we’re gonna close with a live q and a. Ultimately, our goal is for you to walk away with a fresh perspective on just some of the hidden frictions that are costs that are baked into the current ways of working. And we want to sort of validate the day to day headaches that you or your teammates might be facing, while also introducing some new capabilities.

Well, we’ve got some great speakers for you today. We’ve got Ricky Adams who’s got years of experience in the CMMS space. We’ve also got Kevin Alexander who’s our primary presenter and our in house maintenance expert. So without further ado, let’s get into it. Kevin, take it away.

Alright. Thanks, Felix, and good morning, good afternoon, depending upon where you’re at.

So, well, excited to have you on our our webinar today. So, know, Felix did a nice job kinda laying out the kinda the baseline for what you’re gonna see today. And just to kinda start off, we wanted to talk just a little bit about just, you know, what is the problem that a breakdown causes. Right?

And what we’ll see is there’s kind of a long tail of of things that this causes. And so, you know, we all know, that breakdowns are inevitable. However, what’s not inevitable is how you sort of respond to that breakdown. Right?

And so one option is to just sort of have a knee jerk reaction and just go fix the issue as quick as you can.

And that does get the vehicle back on the road, of course. But the problem with that approach is we don’t learn anything. Right? So the other option is to sort of see the breakdown as actually as an opportunity. Right? An opportunity to ask ourselves the question, could this have been prevented? Right?

The answer to that question can sort of inform our future maintenance processes and help us become more proactive as opposed to just reactive. And so if we sort of ask that question each time, it it can sort of provide this cut sort of continuous improvement feedback loop, if you will.

Yeah. And, Kevin, I’ve just to jump in as well.

I I’ve heard from several maintenance teams that, like, an ounce of prevention is worth a pound of cure. Right? And I think everybody on the call would agree if if somebody asked the question, hey. Is it is it cheaper to change the oil, or is it cheaper not to? Then, of course, it’s always it’s always cheaper to to remember to do the oil changes.

But I think the challenge a lot of organizations face is that many of them don’t have the data to support the decision to onboard the tools that allow them to have this level of data to, you know, really take advantage of the breakdown, like you’re saying, turn that into something that they can operationalize and really get ahead of for the next time and then have that ounce of prevention as as I mentioned a second ago. So, definitely, these things are are going to help move operations forward. So, yeah, let’s let’s get into it.

Sorry about that. Went on mute, a little too quickly there. So we’ve got a poll. Everybody can go ahead and answer the poll. You should see a pop up in the bottom left of your screen that you can click on to get responses to the pull in.

We’ll give everybody a minute to, to to submit your responses, so I’ll read it while everybody does that. What’s your biggest fleet maintenance challenge right now? A, predicting vehicle failures before they happen, b, manual admin and disconnected workflows, c, rising repair and parts costs, or d, keeping up with inspections and compliance. I believe this is a multiselect poll, so you can select more than one response here. So we’ll give everybody another minute to to keep submitting their responses.

Alright. It looks like responses have kinda slowed.

So the the responses of what you all have selected, there’s two that are tied for first, and that is predicting vehicle failures before they happen and manual admin and disconnected workflows. So tie for first place, which is interesting.

And, yeah, those first two, a and b, seem to be what everybody’s struggling with the most. So good to know. Also, good to good to see and understand that, you know, these things that, you know, your different businesses struggle with are not unique to you. You’re not alone.

But, hopefully, some of the things we we present today are gonna help with with these. So alright. Ready for ready to keep going. Thanks.

Yeah. Thanks, Ricky. So that’s the results of the poll were interesting because they are exactly consistent with the study that I’m about to talk about and the rest of the webinar. So, the results were kinda dead on there.

So, earlier this year, Motive commissioned a joint maintenance study with FreightWaves. Probably most of you are familiar with with FreightWaves. It’s kind of an industry, you you know, icon, if you will. And so it’s no secret that, you know, fleet maintenance and repair costs are, of course, climbing.

Right? However, the margin of error is actually shrinking. Right? You’ve got rising parts prices. You’ve got, persistent technician shortages.

You’ve got increasingly complex vehicle systems that have turned proactive fleet management literally into a financial, necessity. So, interestingly, in this study, eighty percent of fleet cited rising maintenance and repair cost as their top operational challenge.

And the single most cited pain point at sixty seven percent was the inability to predict which vehicles are at risk of failure, or unplanned downtime. So both of those things were rated high in the poll that we just did. So the poll was certainly very consistent with, you know, this this study. So one of the key findings from that study and others, frankly, is that many fleets are struggling with disconnected systems. You may have heard this referred to as digital silos. Right? Kind of a colloquial term.

In fact, over half of the fleets report struggling with inefficiency resulting from fragmented disconnected tools. For example, it’s not uncommon to see a fleet with one system for GPS, another system for maintenance, another for safety, another for compliance, and so on and so on. Right? And many of you are probably in a very similar situation.

And while these individual point solutions or digital silos may be good in their own right, these digital silos of information cause digital headaches. Right? And so such as information being duplicated in multiple systems, the inability to, identify trends across these systems, and, you know, decision making based on outdated or incomplete information. Right?

And I’m sure many of you can identify with with all of those things. In fact, a whopping sixty seven percent of fleets experience difficulty tracking total cost of ownership, right, because their data, is sort of segregated in these, these digital silos, if you will.

Alright. We’ve got another poll. So if you started the nod off already, time to wake up and answer the next poll.

So you should see that pop up in the bottom left of your screen where you can go to the the polls and then start to submit your responses. This one is also a, no. I think there’s a single choice on this one. But how many separate tools or systems does your team currently use to manage fleet maintenance?

One, everything lives in one place. Two to three, four plus, or we don’t have a formal system.

We’ll give another minute or two so that folks can get their responses in.

And and then I’ll I’ll kinda read the the results of what everybody what everybody said.

I see a couple of you thinking.

Submitting them in here.

Oh, we had a tie, and now there’s a winner.

We’ll give it another second, see if anybody brings it back to a tie. Oh, nope. Starting to get a landslide.

Alright. I think that’s slowing down. So looks like the number one most popular answer that was selected is two to three tools. So definitely goes back to what Kevin was just talking about, some of the struggles that folks have to manage fleet maintenance, two to three tools, managing maintenance for one fleet is what a lot of you all said.

Alright. Thanks, Ricky. Yeah. So based on the poll results, you know, obvious it’s obvious that many of you are also dealing with, you know, fragmentation of of systems.

And so, you know, earlier or a moment ago, I was talking about this notion of sort of digital silos. Right? And these digital silos are rarely, if ever, fully integrated. And what happens is, you know, that fragmentation sort of amplifies operational disconnects, and it leads to very reactive maintenance, right, as opposed to proactive.

And so, as we see here in the study, a massive eighty percent of fleets report major integration gaps, and almost half report that these gaps lead to an inability to obtain insight from trends and patterns and things like that. Right? Now there’s certainly some other very interesting metrics from that freight wave study, and I’m gonna throw some numbers at you here. But, nearly half of the fleets that were surveyed experienced delayed maintenance that led to roadside breakdowns or outer service events.

Right? And we’ll talk about how to address that in a moment. One quarter of fleets reported making decisions based on outdated or incomplete information.

One half of respondents estimated their team spent over ten hours per week on manual data entry, reconciliation, and sort of information transfer between these disconnected systems. And perhaps the most telling statistic, is that one third of fleets said they don’t even know or haven’t even tracked these manual workflows. Right? And, of course, that means that the true cost of these manual workflows is absolutely invisible, you know, to the company and to its leaders and to your to your fleet users.

So industry research consistently shows that reactive repairs cost three to nine times more than planned preventive maintenance. A moment ago, Ricky used the phrase, you know, an ounce of prevention is worth a pound of cure, and that is nowhere more true than it when it comes to sort of reactive versus preventive maintenance. And so why is this? Right?

Well, many of you, I’m sure, have dealt with this, but when a breakdown occurs, right, the our costs sort of explode. Right? They sort of cascade exponentially, if you will. And so I’m just gonna give you some examples.

Right? So for example, expedited part shipping is three to five x kinda standard shipping cost. Right?

You know, we may have potential FMCSA fines, which can can cost actually up to nineteen thousand dollars as you see here on the slide. We may have towing cost. We may need rental equipment to cover the gap.

There is sort of potential service disrupt disruption for my existing customer. Right? Because now I can’t deliver to them or whatever the case or service them because I have a vehicle that’s down. We may incur missed delivery penalties, right, if we’re in logistics.

There may be you know, we may miss out on opportunities and jobs and contracts. And, of course, you may actually have reputation damage, right, because you weren’t able to fulfill a contract. So the list goes on. Right?

But but the message is clear. Right? So just kinda sum that up. Right? Fragmented systems, they aren’t just inconvenient.

They’re actually a massive financial liability.

So now let’s take all of that and sort of translate that reactivity into actual operational cost. So, on average, every single vehicle in a fleet loses almost nine days per year to unplanned downtime. And the cost of that unplanned downtime is obviously gonna vary based on the type of vehicle and the type of industry you’re in and things like that. But just kinda some rough numbers, right, are four hundred and forty eight to six hundred and seventy seven hundred and sixty dollars per vehicle per day.

Okay? So if you do some very rough math for a one thousand vehicle operation, conservatively, this represents almost four million dollars in annual productivity losses. Right? And so that is money that, frankly, is just kinda burning away before you ever pay a single shop invoice or you buy a single replacement part.

And, of course, you know, it impact it it impacts people. Right? You know, we’re all in a in a people business. And, certainly, you know, if you’re in the, physical economy, you’ve you’ve got various constituents and personas that you have to deal with.

And so let’s think about some of these people. Right? So if you think about a driver, you know, I’m a driver. Maybe I flag a defect on an inspection or, you know, a DVR, but I may never actually find out if they were fixed.

And so what that means is I may actually be driving an unsafe vehicle and not even know it. Right? Or maybe I know it, and I’m still driving it. Right?

If I think about my mechanics. Right? And so my mechanics and shop managers, they end up spending about maybe a third of their day on actual wrench time. Right?

And so they’re losing hours to manual coordination. So, basically, what happens is we really just turn our shop personnel, into project managers. Right? So instead of wrenching, right, they’re managing, they’re coordinating, things like that.

And then we’ve got fleet managers who, you know, they’re in a reactive firefighting mode all the time. Right? Their hair’s on fire all the time, and they actually report sixty seven percent of the time, they are unable to predict which vehicles are at risk before a breakdown. Right?

And so that’s one of the things that we we we wanna kinda kinda fix here today. And so, really, the point of all of that, you know, it takes a village to run a fleet, which you see those the village listed here on the slide, you know, but the whole village sort of feels the pain of reactive maintenance.

Alright. Brings us to another poll. So you know the drill at this point. Bottom left corner, you should see that option to, pop into it there. So the question on this one is, how does your team currently track vehicle and asset health? So a, reactive alerts, b, scheduled check ins, c, spreadsheets or manual logs, or d, we don’t.

So go ahead and submit your responses. We’ll give everybody a couple of minutes so that we can see which of these options starts to land on the top.

Alright. Now the response, they’re flowing in. I was nervous there for a second. I didn’t see anybody responding.

We got them flowing in.

Man, I don’t know what it is where we keep getting a couple of these that are a tie.

Let’s see who’s gonna be the tiebreaker here.

Pretty consistent with the responses so far.

Oh, and at the very end, a clear clear winner. Okay. I’ll read the respond the the winner at this point is option b, scheduled check ins at fixed intervals.

Interesting. Appreciate you guys participating in these surveys. It’s great for everybody else to see the responses, what everybody else is thinking, kinda get that sense of, hey. I’m not alone, but then also get an idea of, hey. You know, maybe I’m a little bit behind or I need to catch up or what we really should focus on for what other folks out there in the industry are doing. So, yeah, this one, schedule check ins at fixed intervals.

Let’s keep rolling. Kevin, back to you.

Alright. Thanks, Ricky.

So we’ve sort of diagnosed the problem. Now let’s kinda talk about sort of what the, the prescription looks like. So if you will, take a look at the diagram there on the right.

Virtually every fleet has to deal with the workflows that we see sort of on the perimeter of that of that circle there.

And for many fleets, these digital silos are completely separate distinct systems. So let’s think about a hypothetical vehicle. Okay?

Effectively, we wanna build sort of a digital thread or kind of a digital twin of this vehicle with these various systems or ideally one holistic system.

It’s much easier to build the digital twin in a holistic system that has all of the necessary information that we need to sort of follow that, that digital thread.

So on the previous slide, right, I talked about kind of the digital twin, the digital thread. And so here, we sort of see that thread in action.

This is where the rubber hits the road, so to speak. So let’s imagine building a digital twin of an actual physical vehicle. Right? And so by monitoring the vehicle’s health with a vehicle gateway, basically, what we’re doing is we’re turning the real world physical behavior of that vehicle and the driver into digital information. Right? And so once we’ve converted that to digital information, now we have a unified view of vehicle and potentially driver health as well on a single data layer in the cloud.

Now my fleet users can kinda consume that information, much, much more easily. And so let’s kinda take a look at an actual example. What does this look like in sort of actual practice? And so, all of you are familiar with the notion of of fault codes. So we’ll sort of take that as an example for one of our vehicles here. So with Motivain, it’s I can take action quickly with AI powered fault code alerts.

And so what that does is it helps me to surface and triage critical issues much faster with diagnostics and AI powered explanations. So the way we do this, here at Motive is we capture the fault data directly from the vehicle gateway or our new AI dash cam plus to sort of identify and prioritize those maintenance issues. Then we translate that complex fault code into plain language explanations with built in AI, and you can see some of that language here on the screen, actually. Then we prioritize repairs with clear severity levels and recommended corrective actions.

You can see the severity levels listed here. And then we sort of automate work order creation for those critical faults based on their AI evaluated severity. Right? And so what happens is these insights help to reduce sort of the cognitive load for my technicians because they no longer have to decide how critical the fault code actually is.

Right? The system does it for them, which then sort of drives a more efficient repair process.

But, obviously, we have more than just fault codes. Right? You know? So what if there was a system that could automatically aggregate all of these issues, automatically triage all these issues for me, automatically me.

Automatically prioritize them and automatically provide sort of health insights and planning. Right? Well, that system exists. So, mode of maintenance helps me sort of maximize my fleet uptime with a unified vehicle and asset health view.

And so now we can prioritize repairs and reduce downtime with a real time view of issues and inspections and fault codes and service schedules. Right? And so the way we do all of that, sort of the the magic, if you will, is we combine inspection defects and the diagnostics and the maintenance schedules in sort of a unified view. Right? One stop shop, if you will. And then we surface urgent issues faster to help teams prioritize those repairs and sort of streamline maintenance planning.

And then we identify potential problems earlier before they lead to kind of those more costly downstream breakdowns.

We also automate service schedules by leveraging mileage and or time and or engine hours to kind of reduce the manual tracking. Right? And so with these types of insights, I can sort of move from this error prone, inefficient, reactive workflow to sort of a virtually foolproof, efficient, proactive workflow. Right?

And so these signals, right, DVRs, fault codes, service schedules. Right? All of these systems, the way I like to think about it, they sort of become like an early warning system. Right?

And that early warning system can help me prevent future breakdowns.

And so just kinda long story short. Right? Motive maintenance sort of helps streamline these maintenance operations with automated workflows. And so these digital service workflows or what we call a digital work order, they reduce manual admin, and they keep your maintenance processes moving. And so the way we do that is by automatically converting defects and fault codes and scheduled service reminders into these digital work orders.

Another thing that’s really cool, you know, with the advent of AI is we can scan invoices with our AI to extract and record maintenance line items such as parts and labor automatically. So I don’t have to type that in. I just use AI to process the invoice, and we’ll extract the parts and labor just automatically.

And then we also capture, just kind of holistically, your maintenance expenses, more accurately, which, of course, reduces manual data entry. So this this notion of sort of a closed loop process, it speeds resolution, and it ensures that all constituents can sort of easily track and easily manage that, that repair process.

But what if I leverage a lot of outside shops to repair my vehicles? Right? I talked to a fleet the other day that ninety five percent, of their repairs are done externally. Right?

They use almost exclusively, third party shops. They’re still interested in motive maintenance, and I’ll talk about more about why that is. So can they still use motive maintenance even though they do, you know, external or primarily use external shops? The answer is yes.

K? And one of the reasons for that is I can leverage AI to import third party invoices whereby all the pertinent information on that invoice, such as parts and labor, are automatically extracted. And so what that does is it completely eliminates very painful, very manual data entry, and it also ensures complete accuracy. Right?

So we’re not typing stuff in. We’re letting the system kind of import that stuff for us automatically.

Also, motive maintenance helps to sort of optimize repairs with automated inventory management. And so we can track actually track parts across locations with automated inventory workflows designed to sort of reduce manual counting and manual inventory management and things like that. And so the way we do that is we monitor your real time inventory across multiple locations with a parts catalog that actually uses VMRS categorization. So those of you that have a lot of medium and heavy duty parts, you’ll probably recognize that VMRS acronym.

We also use low inventory alerts in automated purchase orders to help you avoid critical shortages. Right? There’s nothing worse than, excuse me, than needing a part, and we don’t have it in stock. Right? We wanna help you eliminate that.

The other thing that happens that’s really cool is we automatically deduct parts from your inventory as those work orders are completed. Okay?

And we help you to improve the cost tracking with item excuse me, itemized parts data tied to specific assets and repairs. And so just to kinda summarize that, with reliable, efficient inventory management, I have the confidence that the right part is available at the right time at the right location. And so no longer will a repair be delayed because a part is not available. Downtime sort of becomes, you know, a thing of the past, frankly.

Motive maintenance also helps you avoid unnecessary repair spend with proactive warranty tracking. And so by tracking vehicle, asset, and part warranties in one place, you protect your maintenance budget. Now how do we do that? Well, the way we do this is we flag active warranties before repairs begin. And so this helps teams sort of avoid paying for covered parts and labor. We also apply coverage terms, expiration dates, mileage limits across your vehicles and asset groups. We can also set up notifications as those warranties approach expiration so that your teams can take action sooner.

And then sort of last but not least, we also can use, warranty reporting to track covered repairs and sort of recovered savings over time.

And so, you know, what would it mean to your bottom line if you could simplify life cycle management with just total cost of ownership insights? And so, with Motive Maintenance, we actually bring maintenance cost data together to help you spot trends and manage spend and and make more informed asset decision. And so the way we do that is we aggregate all of your maintenance expenses into a single dashboard for easier tracking and and data analysis.

We also tie fuel cost from our motive card, repair and maintenance cost to vehicles and assets track that, across fleet management and equipment monitoring. We also help you run data back replacement analysis. I’ll talk about that, in a moment. We do that using telematics, work orders, fuel data, and also residual value. We also break down total cost of ownership by asset, vehicle, vendor, and repair category.

And then we also compare repair cost and operating expenses and vehicle health and residual value all in one place. And so with these types of cost insights, I can drive much smarter capital decisions, budget with more accuracy, and improve long term profitability.

So I mentioned this a moment ago, but, you know, what if I had better data when it comes to making repair versus replace decisions? And so for any given asset, there is always a point of diminishing returns, right, where it just becomes more economical to replace the asset rather than to continue maintaining that asset. And so by leveraging historical cost data, health trends, and residual values, we can now make a far more educated repair versus retire decision. And so this sort of data driven approach, ensures that our capital is deployed where it will have the greatest impact.

Nice job, Kevin. Thank you for walking us through all of that.

Kevin, take a deep breath. Grab a glass of water. You did a great job.

Real quick, for everybody that, is still here, we’re gonna be doing a q and a here in a couple of minutes. If you go to the chat box, there should be a tab, up the top that says q and a. That’s where you can go to submit your questions.

But before we get to that point, I wanted to talk about, a couple of things to wrap up. So we’ll close with three things that you may wanna consider putting into practice.

And the first is we wanna start to use uptime as a strategic outcome, we can do that by surfacing critical issues with health insights, a lot of what Kevin mentioned just a minute ago. So that’s one thing we can look into accomplishing soon. Second, we can nail down a workflow that’s outlined, clearly communicated across the business where all the drivers are trained, a way that’s paperless to to prompt action and reduce unnecessary spend.

And last, these days, our our software tool options are virtually unlimited. So consolidating everything into a single platform so that there’s one place to operate across departments and not have those silos like Kevin was talking about can really reduce the administrative burden across across the team.

So those three things, which leads us to, we’d be remiss without saying this, but it it’s exactly what Motive does for for fleets. So it’s an AI platform, for the physical operations. It helps organizations improve safety, productivity, profitability, and operations, And and now we’re extending that deep into the shop floor, with some of the new maintenance functionality that that’s, that we’re just rolling out.

So in summary, Motive Maintenance can help you maximize the uptime, streamline the maintenance operations with some automated work orders and functionality triggering those, like, fault codes Kevin was mentioning, optimize repairs, with inventory management, and avoid unnecessary repair spend with proactive warranty tracking on each of the vehicles, and then also simplify the life cycle management, the total cost of ownership, the decisions of repair or replace, all of that, now on the same platform that’s used to manage other sides of the business.

K. Now let’s get to the open q and a. I think this is me as well, so I will read these out. And then, if I can answer it, I’ll give it a I’ll give it a swing, but probably likely Kevin will be able to help us out with this one. So first one and by the way, you’re able to submit these anonymously if you are an introvert like myself. Then there’s a checkbox at the bottom that says to hide your name so it can come in anonymous. We’ve already got one in there, so that’s great.

We’ll start with the first one. Can you have the same PN in multiple locations?

Kevin, I’ll pass that one to you, actually.

Oh, if you’re talking, you’re on mute.

Sorry about that.

Yeah. So that’s a that’s a good question.

I will probably have to get back to you on that one. I think the answer is yes.

And the the reason I say that is when you create a part in the system, you will assign its location. Now I think you can have multiple locations, but, basically, the way it works is you’ll have, I think it’s aisle, bin, and I forget what the other one is, where you actually tell the system where that part is located in the inventory.

So I think the answer is yes, but we’ll make a note on that one. I think that’s Douglas Scott.

And so we’ll get back to you, Doug, on the precise answer, but I believe the answer is yes.

Stage real quick, Kevin. Hey, guys. You you nailed it. The the answer is yes. So inventory is handled at the shop level, and you can indeed manage parts across different locations with the part same part number.

And, yeah, so the inventory is configured per shop. And so when you add an inventory record, you’re selecting that specific part where the, shop is located. Right? So you can build out different locations whether they’re internal shops or external. And then you can manage the stock parameters, like Kevin was saying, whether that’s open quantity or bin location or sort of the reordering threshold so you can set alerts of, hey. You know, if there’s less than five, let me know so I can start purchasing more.

Perfect. Thanks. Thanks.

Yeah. Thanks, Kevin. Thanks, Felix. Felix, glad you’re here. Stick around. I think this next one could be for you as well. So question is, how does HealthInsights prioritize which issues need attention first?

So I can I’ll take a stab at and then, you guys feel free to to add to that. So one of the ways that we do that is in the presentation, I talked a little bit about AI powered fault codes.

And when the system detects a fault code, it will automatically assign a severity to that fault code. So critical high, medium low. That then can inform the prioritization process.

Right? So when you triage these issues, one of the things that we provide is, fault code severity. There are other things we do, but that’s kinda one of the key things. So I don’t know, Felix or Ricky, if you have anything else there.

Yeah. That’s right. With the AI fault codes, it is automatically classified based on some of our our internal models. But you can also, for inspections, right, categorize each defect.

And then, of course, let’s say you have a scheduled maintenance calendar. If it’s long overdue, right, that’ll that’ll become flagged as overdue versus, hey. You’ve got an oil change coming up in fifteen days versus it’s thirty days past. So that’s how that’s how we recategorize those three inputs by priority.

Yeah. Just to add one other thing to that that I just sort of was thinking about as Felix was talking is, we also, in Motive, have this notion of what we call automations. And the easiest way to think about it is it’s sort of a an architecture for if this happens, then do that. Right?

So you can have a trigger. For example, a work order, or excuse me, a DVIR can automatically trigger a work order. A fault code or specific fault codes, right, because fault codes are more severe than others, specific fault codes can automatically trigger work orders. So there’s a lot of additional automation behind the scenes that we didn’t have time to talk about today that can help you.

You know, we do some AI prioritization, but you can also prioritize things sort of with these with these this notion of automations.

Perfect. Thank you.

Alright. Next question. This one I’m actually pretty excited about. Kevin, I’m gonna let you take a swing at this one first because I think I think you’ve got a good response for this. So question is, can you tell us more about your AI powered features? Are you running your own private models, or do you share fleet data with any third parties like OpenAI, etcetera? Thanks.

Yeah. Good good question. So first off, Motive never ever shares data, with with any third parties. Well, we don’t do that by default. Now that being said, we do have something that we call MCP whereby if you want to use your own third party tools like a Claude, like a Gemini, you know, an OpenAI, whoever it is, you can use that MCP to connect your Motive system to those third party systems. But that’s something that you need to turn on and that we would we would obviously help you configure. But all of our models are built in house.

We don’t use third parties to help build these things. And, again, if if you wanna share your fleet data, right, with your instance, your environment, right, you can do that, but that’s something that sorta needs to be configured.

Yeah. That that NCP is is really allowing fleets to, I mean, essentially, bring your own AI. And I know that everybody has kind of a preference these days. Like, they’ve been around now long enough where folks are getting comfortable, getting familiar, already using certain tools within the business, and now you can tie that into tie your motive instance and data into that to get those, you know, extra or next level insights, supports, workflows, that type of thing.

So pretty exciting on that. Okay. I’m looking at the clock. We are running short on time.

So let me get through these next couple kind of quickly, but we’ll try to make sure we get sufficient answers out to you. So, Jason, appreciate you on this one. How accurate is the AI tool at reading repair invoices? This one might be for Felix.

So AI at reading repair invoices, we outsource all repairs across the nation. Some of the invoices are not the greatest for OCR processing. I feel you on that one. But, Felix, what would you, how would you respond to that?

Yeah. That’s a great question. I don’t have a specific stat for you that I can that I can publish, but I will say, anecdotally, we’ve heard from a lot of our customers that are testing it that it is very quick. It processes very, very quickly. We’re actually preparing to release a bulk invoice upload as well. So if you do handle a lot of invoices, that’s gonna be a really great capability there.

And in terms of just, like, accuracy, mean, Kevin, Greg, you guys are in a lot of, customer calls too. I don’t know if you guys have any anecdotes there.

Yeah. I mean, it it’s a great question. It’s still early days. Right? And so to be honest, I don’t expect it to be perfect at the moment, you know, with in full transparency, but it will get smarter every day.

Right? It’ll be better tomorrow than it is today. So, you know, it may take, you know, a couple months, let’s say, you know, before we before we perfect it. What I’ve seen so far is it’s really, really good, but I’ve got a small sample size.

Right?

You know, this thing is now starting to get out into the wild, and I’m sure we’ll we’ll start to encounter some very interesting invoices. There’s no question about it, you know, where people are even handwriting them probably. So I think it’s really good, but, you know, it’s probably gonna take a little time before we really perfect it to be to be completely frank.

Love it. Okay. Last question then to to round us out. Does Motive know when a repair should be covered under warranty? Actually, I’ll I’ll make a comment here first. That MCP functionality is definitely going to, unlock some potential here of, you know, vehicles that might be a little bit older or have warranty issues that you could, you know, simply ask there and and get some insights to. But, Kevin, as far as, like, in product functionality, what would you say to that?

The answer is absolutely yes. I talked about this a little bit, in the webinar itself. I didn’t go into a lot of detail. But, basically, the way it works is when you create a part in the system, you will or you can assign a warranty policy to that part. So part number one, two, three, four, five, it has this warranty policy assigned to it.

When I process a work order that now has part number one two three four five, the system will automatically tell me whether that part number is covered under under warranty. So that is absolutely part of of motive maintenance. Good question.

Okay. Well, I think those are all the questions we have for today. Thank you all for submitting those great questions.

And we are right on time. One minute over. So great job. Just wanna thank again, Kevin, Ricky.

Thanks for your time and your expertise here. Thank you to everybody who attended. Really appreciate you joining us today. Hopefully, you walked away with a little bit more insight, a little bit more learnings you can take back to your companies, and really try to implement some next steps on how to improve your maintenance programs and your operations there.

Well, as a final reminder before we hop off, recording will be in your inbox within just a few days, so you can always look back. And if you’re interested in learning about motive maintenance, for your organization, you can definitely click on the get started button at the very top or visit go motive dot com slash get in touch.

And then if you’re a customer with us already, you can contact your account manager, and they can tell you all about the new Motive maintenance product. Well, that’s all we got for today. So I hope you all enjoy the rest of your week, and thanks again for joining.

See you, Ron.

Thanks, everyone. Bye, y’all.

Bye.