Best of LinkedIn: Commercial Fleet Insights CW 12/ 13
Show notes
We curate most relevant posts about Commercial Fleets on LinkedIn and regularly share key takeaways.
This edition offers a comprehensive look at the 2026 global fleet management landscape, highlighting a decisive shift from simple vehicle tracking to AI driven operational intelligence. Industry experts emphasize that electrification has moved beyond pilot phases into large scale depot execution, spurred by rising fuel volatility and substantial government funding packages like the UK’s £1 billion initiative. A recurring theme is the critical need for proactive infrastructure planning, as grid connectivity and energy management now represent greater bottlenecks than vehicle availability. Telematics technology is also evolving, with predictive analytics and real time video coaching becoming essential for improving safety and reducing total ownership costs. Furthermore, the reports suggest that success in this new era depends on integrated data ecosystems that unify maintenance, fuel monitoring, and compliance into a single actionable framework. Overall, the transition to zero emission fleets is framed as a strategic financial necessity rather than a purely environmental goal.
This podcast was created via Google NotebookLM.
Show transcript
00:00:00: This episode is provided by Thomas Allgeier and Frennis, based on the most relevant LinkedIn posts about commercial fleets in calendar weeks twelve-and-thirteen.
00:00:09: Frenis is a B to B market research company that supports automotive suppliers with building feature-by-feature competitive intelligence that shows exactly how their product stacks up against the competition.
00:00:19: You can find more info in description
00:00:21: Alright.
00:00:21: so what are we getting into today?
00:00:23: Well I mean... What if i told you the delivery trucks dropping off packages at your local distribution center might actually soon be classified as critical national security infrastructure.
00:00:34: Wait, really?
00:00:35: National
00:00:36: security?!
00:00:36: Yeah!
00:00:37: It's wild.
00:00:38: Today, we are looking at an operational landscape that has just completely broken the traditional logistical equation.
00:00:45: We're doing a deep dive into the top commercial fleet trends That have been circulating across LinkedIn over the past two weeks.
00:00:51: Which is exactly the mission for today's deep dive?
00:01:02: the intense cost pressure that is rapidly accelerating electrification, then the harsh reality of flea digitization and data-driven operations.
00:01:14: And finally how safety has evolved from a basic compliance checkbox into like strategic performance lever.
00:01:22: Yeah, let's just jump straight into that first theme actually.
00:01:24: Cost pressure and electrification acceleration?
00:01:27: Because I mean as a mobility professional you already know the internal combustion engine's efficiency math is
00:01:32: terrible.
00:01:32: Oh absolutely
00:01:33: We don't need to rehash the thermodynamics of it.
00:01:35: but what the data from the past two weeks shows Is this massive gap between The theory of electrification And the brutal Boots on the ground reality of trying to scale
00:01:46: it.
00:01:46: Yeah, they're sure
00:01:47: electrification is no longer just a slide in some corporate social responsibility deck You know?
00:01:52: It's literally financial survival at this point
00:01:55: it absolutely Is.
00:01:56: and what's really fascinating here is just how quickly The math has shifted under our feet.
00:02:01: look at a recent post from Wilhelm Hedberg.
00:02:03: He pointed out that oil Just hit a hundred and nineteen dollars a barrel.
00:02:06: Wow Hundred
00:02:07: and nineteen right.
00:02:08: if you run a fleet And you are still waiting for the so-called perfect time to electrify, that price spike completely alters your financial calculus.
00:02:18: Yeah I mean logistics runs on incredibly thin margins anyway exactly.
00:02:22: you cannot build a predictable five-year business model when your primary operating expense just fluctuates wildly based on global commodity markets.
00:02:33: but wait is it really just about hedging fuel costs?
00:02:36: because we hear so much about emissions mandates and municipal green zones?
00:02:41: Aren't logistics companies primarily moving to EVs, to comply with those upcoming regulations?
00:02:47: I mean compliance is a factor of course.
00:02:48: But Sandy Munkerjee made really brilliant observation that just cuts right through the whole narrative.
00:02:53: He noted last mile.
00:02:54: logistics companies aren't adopting EV fleets because they certainly had this revelation about climate change.
00:03:00: They are doing it specifically against fuel volatility That need protect their margins.
00:03:05: It's just a ruthless financial defense mechanism.
00:03:08: That makes perfect sense, it really does.
00:03:10: And the raw mechanics completely back up that financial defense!
00:03:14: Friends tolling you brought this up and again... The numbers are just stark.
00:03:18: Electric vehicles are eighty seven to ninety one percent energy efficient,
00:03:22: which is huge.
00:03:23: Yeah You are actually using the energy you pay for to move the goods whereas with gas Seventy-five percent has just lost his heat.
00:03:32: But you know?
00:03:33: You really can't talk about this cost pressure without looking at the geographic divide because The global market is reacting out wildly different speeds right now.
00:03:40: Oh the disparity of staggering it Really as there's
00:03:43: a real panic setting in across Europe.
00:03:46: Jakub Projeski shared a stat that puts this into perspective.
00:03:49: Europe's zero emission adoption rate for heavy vehicles is sitting at a mere four percent,
00:03:54: just four percent?
00:03:55: Yeah but China they're already at twenty nine per cent for heavy duty electric trucks.
00:03:59: That's incredible
00:04:00: It is.
00:04:01: That kind of margin pressure forces legacy players into very uncomfortable corners,
00:04:05: which leads perfectly to the example Slav B highlighted recently for it's essentially taking a low cost Chinese jam sea van rebadging and selling in Europe as the transit city.
00:04:16: Wow yeah slob noted this.
00:04:20: Just think about what is happening mechanically there.
00:04:22: You have a legacy OEM with the century old reputation built on durability and they're just pasting their badge On low-cost import,
00:04:30: just to survive
00:04:32: exactly just to meet EV price pressures And survived the current market economics.
00:04:36: I have to stop you There though.
00:04:38: if the Chinese OEMs and these rebadged vehicles are driving The upfront purchase priced down doesn't that sort of solve?
00:04:45: Like You buy the cheaper electric truck, your total cost of ownership drops and boom problem solved.
00:04:50: Well if only it were that simple right?
00:04:52: Right.
00:04:52: Buying a vehicle is arguably the easiest part this entire transition.
00:04:56: buying an electric fleet without planning your grid infrastructure Is exactly like buying a fleet of brand new smartphones with absolutely no way to charge them.
00:05:04: Ah!
00:05:05: Right.
00:05:06: And This where timeline completely breaks down for fleet operators.
00:05:09: So what are the actual hurdles causing these delays?
00:05:12: I mean, why can't a fleet just call their utility company and say hey get the power turned on.
00:05:16: Natasha Fry shared some really harsh truths about these timelines.
00:05:20: Fleet organizations consistently underestimate the physical and bureaucratic friction involved here.
00:05:26: Establishing a low-voltage grid connection could take around six months.
00:05:30: Six months just for low voltage Yes
00:05:32: But if you need high voltage connections for larger depots You were looking at twelve months or even longer.
00:05:38: You have to secure planning permissions, procure substations negotiate legal easements and actually get out there and trench the cables.
00:05:45: that is a total logistical nightmare it
00:05:48: really is.
00:05:49: Ivan Lendofsky echo this perfectly.
00:05:51: he observed when you move from you know, acute pilot program of three or four trucks to actually scaling fifty plus vehicles in a depot.
00:05:58: The hardware stops being the issue right?
00:06:01: You quickly realize that energy is the real bottleneck.
00:06:03: it becomes this incredibly complex puzzle Of load control and grid limits.
00:06:08: So what does this actually mean for you as you try to navigate this?
00:06:11: I mean how do you bypass A twelve month utility delay?
00:06:15: well capital Is finally starting To flow.
00:06:17: to address This exact bottleneck Sam Clark And David Beaton broke down the UK's newly announced one billion pound rollout funding.
00:06:26: Yeah, that's a massive package
00:06:28: it is.
00:06:28: and what's really critical in that package Is the hundred and seventy million-pound depot charging scheme?
00:06:34: Governments are finally realizing that subsidizing a truck does absolutely nothing if the depot can't actually power It exactly.
00:06:41: but my absolute favorite insight on this whole energy puzzle came from Maxine Riznichenko.
00:06:46: Oh wait!
00:06:46: The idle time statistics.
00:06:48: Yes
00:06:48: He shared a stat about a logistics company in the Netherlands.
00:06:52: They audited their operations and found that seventy three percent of their EV fleet sits idle at night, they are fully charged connected to the grid doing absolutely nothing
00:07:00: just sitting there
00:07:01: right.
00:07:02: he framed vehicle-to-grid or V two G not as some futuristic tech curiosity but has vital second revenue stream.
00:07:09: let's actually break down the mechanism.
00:07:11: how that generates Revenue because it is brilliant if your trucks When industrial power rates are rock bottom, you can just hold that energy.
00:07:21: Okay.
00:07:22: Then during the evening peak when the grid is strained and power is incredibly expensive Those trucks discharge power back into the grid.
00:07:31: Your vehicles are essentially operating as decentralized power plants while your drivers sleep.
00:07:37: You're just capturing that arbitrage.
00:07:38: Exactly, which is an incredible financial lever.
00:07:42: but managing that knowing exactly Which truck needs to charge?
00:07:45: Which one can sell power back what rep they have tomorrow and What the weather will be you can't do That on a spreadsheet.
00:07:51: no absolutely not
00:07:52: which transitions us perfectly into our second theme fleet digitization And data-driven operations because Managing these complex energy ecosystems requires A fundamentally different digital brain
00:08:04: it does.
00:08:05: The frustration with how data is currently handled in fleets, is frankly palpable right now.
00:08:12: Wakar Siddiqui and John Brushia both hit on a truth that will really resonate with you if you've ever stared at a fleet management screen.
00:08:19: Oh yeah!
00:08:19: Fleet leaders do not want more dashboards.
00:08:22: They're completely drowning in dashboards.
00:08:24: Alert fatigue is so real
00:08:26: It's crippling.
00:08:27: They already have mountains of raw data, but they lack the time and cognitive bandwidth to sit there and cross-reference it all to find actual answers.
00:08:37: Raw location is officially a commodity now.
00:08:40: Right!
00:08:40: Just
00:08:43: knowing that truck number four doesn't give you any operational advantage anymore.
00:08:47: OK, so walk me through the solution here.
00:08:50: Because the term AI is thrown around so much in this space it's starting to lose its meaning?
00:08:55: How is an A.I.-native system fundamentally different from basic telematic software?
00:09:00: a fleet might be running right now?
00:09:01: Vek Ponthenkandav made a brilliant point explaining his exact shift.
00:09:05: He noted that A. I-Native Telematics flips entire software architecture on its head.
00:09:11: The legacy approach to software was simply asking what data can we collect?
00:09:15: Just grab everything
00:09:16: right.
00:09:16: It was all about harvesting information.
00:09:19: But the new AI native approach asks, What operational decisions must we support?
00:09:25: ah so it changes the output entirely.
00:09:27: yes and Scott Monag expanded on this beautifully.
00:09:30: He said a truly connected fleet isn't just a bunch of loosely integrated dashboards Where human has to manually reconcile the numbers between maintenance routing and charging.
00:09:40: That sounds exhausting.
00:09:42: It is, it's a fundamental shift from having systems of record to having systems that coordinate decisions in real time.
00:09:48: Let me try an analogy here to see if I'm grasping the mechanical difference.
00:09:52: The old way of telematics Is kind of like hiring a historian.
00:09:55: They are very accurate they're very detailed and they will hand you A beautiful report telling exactly what went wrong In your supply chain yesterday.
00:10:03: But the new AI driven approach is Like having an expert co-pilot sitting next To You.
00:10:08: They see the storm coming, they see that charging station is down and they actively reroute the truck to fix this issue today before you even realize there was a problem.
00:10:16: That's exactly the shift!
00:10:18: And the hidden return on investment for getting even the foundational levels of digitization right...is massive.
00:10:24: Florian Boom called this Europe Day One for fleet digitization.
00:10:28: B-one,
00:10:29: okay?
00:10:29: Yeah
00:10:29: he pointed out that just doing the basics getting rid of paper fuel receipts and fully digitizing transactions saves a staggering one hundred four euros per vehicle per month.
00:10:39: Wait!
00:10:39: One Hundred
00:10:40: Four Euros
00:10:40: purely from Getting Rid Of
00:10:41: Paper?!
00:10:42: How does the math even work on that?
00:10:43: It comes down to the sheer labor cost of administrative time...and reduction in fraud.
00:10:49: Think about all the hours spent chasing lost receipts, manually entering data into accounting software and reconciling fuel card anomalies.
00:10:56: Oh yeah!
00:10:57: The admin bloat.
00:10:59: Exactly when you digitize that transaction layer You instantly close those operational bleed points.
00:11:04: That is a lot of capital bleeding out through simple inefficiencies.
00:11:09: But this level of deep integration raises an incredibly important question, and honestly a surprising twist in the digitization story that we touched on at the very beginning of This Deep Dive.
00:11:20: The security aspect?
00:11:21: Yes!
00:11:26: deeply embedded in the physical economy that it's actually becoming a national security issue.
00:11:31: Jeremy McLean brought up a stark warning about this.
00:11:34: ASIO, The Australian Security Intelligence Organization recently flagged connected vehicle data flowing offshore as sovereign risk.
00:11:43: I really need you to unpack that.
00:11:45: How does a grocery delivery truck's telematics data become a sovereign risk?
00:11:48: Well, think
00:11:49: about the aggregation of that data.
00:11:51: we aren't just talking about one grocery truck.
00:11:52: We are talking about government fleets health services mining logistics and national freight networks.
00:11:58: The
00:11:58: whole system right.
00:11:59: if a foreign entity has access to the real-time Telematics of an entire nation's commercial fleet They have alive granular map detailing exactly how when and where that country's entire physical economy moves.
00:12:11: They know exactly where the supply chain bottlenecks are, they know when critical infrastructure is vulnerable.
00:12:16: That is
00:12:17: chilling when you frame it that way.
00:12:19: Telematics isn't just software you subscribe to anymore—it has become load-bearing critical national infrastructure and governments are finally waking up to the fact that you have to know EXACTLY WHERE THAT DATA LIVES, WHO CONTROLS THE SERVERS AND WHAT JURISTICTION IT FALLS UNDER.
00:12:36: chasing paper fuel receipts to managing sovereign risk in the span of a few years?
00:12:41: The evolution of this role is staggering.
00:12:44: It really does,
00:12:45: but it makes perfect sense and leads us seamlessly into our third theme safety as strategic performance liver.
00:12:52: Because all of this load-bearing infrastructure, these AI co-pilots and sovereign data systems ultimately feed into the single most vital operational metric you have.
00:13:02: Which is keeping your drivers and public safe?
00:13:04: Exactly!
00:13:05: And how.
00:13:05: industry measures in acts on safety are undergoing a radical transformation right now?
00:13:10: Nikola Vukovic shared an excellent framework breaking down the difference between lagging and leading indicators.
00:13:16: For decades fleets have relied almost exclusively on lagging indicators things like collision counts, injury rates and insurance claims.
00:13:25: But
00:13:25: relying on lagging indicators is like trying to evaluate the health of your vehicle's brakes by measuring the length of skid marks after a crash?
00:13:32: Yes!
00:13:33: It's autopsy data.
00:13:34: it tells you exactly what failed but does absolutely nothing prevent impact.
00:13:39: That is perfect way to visualize it.
00:13:41: So fleets are now realizing they must balance those lagging metrics with leading indicators Proactive
00:13:47: stuff
00:13:47: Exactly.
00:13:48: These are proactive data points.
00:13:50: Telematics risk scores, near-misreporting, accelerometer data showing harsh breaking events weeks before an actual collision occurs.
00:13:58: these indicators allow you to predict and intervene
00:14:01: But...and I have to play devil's advocate here Just having the technology just having the sensors that capture those leading indicators doesn't automatically mean You Have A Safer Fleet.
00:14:10: Fair point.
00:14:11: Mark Jetsack shared a stat That proves this exact Point.
00:14:14: Forty-six percent of fleets now have cameras installed, but a massive chunk of them fail to see any return on investment.
00:14:20: And that goes right back the alert fatigue we talked about earlier?
00:14:23: Exactly!
00:14:23: The systems generate thousands of alerts.
00:14:26: A dispatcher might get five hundred pings per day following distance or harsh cornering.
00:14:31: It's overwhelming.
00:14:32: Right, no one has the time to actually sit down sift through all that footage figure out what matters and then go coach the driver.
00:14:38: so The technology just runs in the background completely ignored.
00:14:41: it becomes expensive white noise.
00:14:43: And you really have to combine That operational reality with an engineering argument made by Rory Catronio regarding active versus passive safety systems.
00:14:52: Okay?
00:14:52: What's the distinction there?
00:14:54: This is critical.
00:14:55: A passive system is something like a backup alarm, it just beeps loudly while an accident is actively happening right?
00:15:02: It tells the driver they're making a mistake but it entirely relies on human reaction time to stop The vehicle
00:15:09: which is often too late.
00:15:11: Right and active system On the other hand detects that hazard And automatically applies the brakes for you.
00:15:17: Yeah Gattronio's point is that we have to move away from systems that simply watch accidents happen and loudly document them, towards systems that actively intervene.
00:15:27: But if we bring this all back to the human element because that is where The Rubber Meets the Road raw data an auto braking system still don't build a safety culture.
00:15:37: you Still need Human Coaching You do
00:15:39: And Corey Kozlin highlighted how tools like LeCasse AI Coach Assist are bridging That gap between the Raw Data in the Human Conversation.
00:15:48: This is where the AI actually solves the alert fatigue problem.
00:15:51: How so?
00:15:52: Instead of a manager getting five hundred alerts, The AI summarizes a driver's behavior over time and flags only two or three most critical coachable moments.
00:16:00: That is huge especially considering make up with most fleet management teams.
00:16:03: A lot of fleet managers are former drivers themselves.
00:16:06: They know the routes they know equipment but might not have formal training in behavioral psychology or HR Management.
00:16:12: Sitting down for performance review can be really difficult.
00:16:16: Precisely The AI gives them a highly targeted, objective summary so they know exactly how to guide the conversation constructively.
00:16:24: It removes the guesswork and friction And Ashley Murdoch summed up this new philosophy of safety management perfectly.
00:16:31: She said carrot not stick.
00:16:33: it's about incentive over punishment.
00:16:35: Exactly Historically Telematics has been viewed by drivers as a surveillance tool.
00:16:40: right big brother watching them waiting to penalize them for mistake.
00:16:43: Yeah
00:16:44: nobody likes that.
00:16:45: Nobody Murdoch argues that you have to use AI on that existing data, to deliver tailored supportive training.
00:16:52: You gamify the experience and incentivize good behavior.
00:16:56: it completely changed the culture of an organization from one a fear in micromanagement To want of continuous supportive improvement.
00:17:03: So what does this actually mean for you as you map out?
00:17:05: The next five years of your career and mobility?
00:17:07: Throughout this discussion, we've unpacked how Chinese OEMs are fundamentally altering the total cost of ownership math.
00:17:13: We have seen how AI is shifting from a passive data collector into an active operational co-pilot.
00:17:18: but before we go I want to leave you with completely new thread.
00:17:27: If your electric trucks are increasingly acting as decentralized power plants through vehicle to grid integration, balancing the local energy market while you're driver sleep.
00:17:38: And if the telematics data flowing from those trucks is now classified by intelligence agencies as critical sovereign infrastructure how long until fleet companies or regulated not like traditional logistics businesses but public utilities and defense contractors?
00:17:53: that completely rewrites the compliance and regulatory landscape.
00:17:57: It changes everything!
00:17:58: The traditional role of the fleet manager, the person buying trucks and handing out fuel cards is effectively gone... ...the roll you are stepping into.
00:18:06: is that a complex systems architect?
00:18:09: You're managing energy trading defending sovereign data borders And utilizing AI to navigate human behavioral psychology.
00:18:16: it's an entirely different profession than was just few years ago.
00:18:20: If you enjoyed this episode new episodes drop every two weeks.
00:18:23: Also, check out our other editions on electrification of battery technology future mobility and market evolution.
00:18:30: And next gen vehicle intelligence.
00:18:32: Thank you so much for joining us On this deep dive.
00:18:34: we really appreciate You spending your time exploring these insights with us.
00:18:38: keep building those Next generation ecosystems.
00:18:40: don't forget to subscribe.
New comment