Best of LinkedIn: Commercial Fleet Insights CW 20/ 21

00:00:00: This episode is provided by Thomas Allgaier and Frennus, based on the most relevant LinkedIn posts about commercial fleets in calendar weeks twenty-and-twenty one.

00:00:08: Frenness as a B to be 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.

00:00:18: you can find more info.

00:00:19: I

00:00:22: want you to just imagine for a second that you're signing this massive purchase order.

00:00:25: Right, like for whole new fleet of state-of the art electric heavy-goody trucks.

00:00:31: Exactly!

00:00:33: You've run all the total cost of ownership models... ...you hit your sustainability targets.

00:00:38: The PR team is absolutely threat.

00:00:41: And then vehicles actually arrive at your depot.

00:00:44: But standing there in the yard you realize this terrifying operational truth.

00:00:49: You literally cannot plug them in.

00:00:50: Not

00:00:51: today, not tomorrow possibly for three whole years which was just an absolute operational nightmare.

00:00:56: It really is but I mean for a ton of mobility professionals right now that Is the literal reality on The ground?

00:01:03: Yeah vehicles have basically outpaced the concrete and the copper.

00:01:07: yeah they Really Have.

00:01:09: Well welcome to the deep dive.

00:01:10: Today we're.

00:01:11: We're cutting through all the noise to unpack the absolute top commercial fleet trends that we saw across LinkedIn in calendar weeks, twenty and twenty-one.

00:01:21: Right so if you are managing a fleet or engineering the tech that supports them.

00:01:25: these were exactly ground level conversations.

00:01:27: you need to be tracking?

00:01:28: Exactly!

00:01:36: Well, explore three central themes rewiring the whole mobility industry.

00:01:40: Yeah so first up is electrification infrastructure.

00:01:43: and why The grid not the vehicle itself Is your primary bottleneck

00:01:48: right?

00:01:48: And second is AI and telematics Which is basically at the end of the quote-unquote dead dashboard.

00:01:53: We'll look At how fleets are moving from just staring at data to actually executing automated action.

00:01:59: and third is fleet safety how risk mitigation is moving way beyond just a compliance checklist and turning into like staggering financial

00:02:08: ROI.

00:02:09: Yeah, massive numbers there but let's jump straight in to that first theme electrification infrastructure.

00:02:15: because we hear so much industry chatter about the sticker price of electric

00:02:19: trucks right?

00:02:20: That sounds like debates over range anxiety payload capacities.

00:02:23: all of that yeah

00:02:24: But looking at the latest insights from flight operators focusing all your attention on the truck itself entirely the wrong starting point.

00:02:32: It really is, I mean look at what George Diaz shared recently.

00:02:35: he completely reframes the timeline

00:02:37: He does!

00:02:39: Bottle neck slowing down a transition isn't, you know negotiating the EV cost.

00:02:44: It's the depot layout it's the route reanalysis

00:02:47: Right and the grid capacity upgrades like he advises fleets to start talking To their facilities teams of minimum Of two years before they even put Down in deposit.

00:02:55: Two-years minimum just to Start The conversation.

00:02:58: because if You wait until the regulatory mandate hits um...You've already lost the timeline.

00:03:02: Exactly Because fleets look out the window, they see utility substation down on street and just assume industrial power sitting there waiting for them.

00:03:11: Which brings up that perfect real-world example from Natasha Fry over at Murr.

00:03:15: a large retail organization did exactly this right?

00:03:19: Yeah!

00:03:19: They saw local substation put in feasibility requests to their depot...and thirty days later the utility replies And

00:03:27: say sure we have the power but it doesn't reach your site.

00:03:31: To get it to you, we have to route a high-voltage cable straight through an existing housing estate.

00:03:36: Which is just... I mean the quote for that trenching work was millions of dollars.

00:03:40: Millions!

00:03:41: which instantly destroys The Business Case.

00:03:43: obviously A seven figure utility upgrade Is Just An Unworkable CapEx.

00:03:48: Right but thats exactly where the industry's getting super smart.

00:03:52: They didn't pay for the million-dollar cable, they didn't force a hardware solution.

00:03:56: They went to software.

00:03:57: Yeah!

00:03:58: Instead of building massive new ten lane highway for electricity... ...they just got really smart traffic cop.

00:04:05: Natasha explained how they use dynamic load balancing

00:04:08: Which is just for context.

00:04:09: isn't scheduling software.

00:04:11: It actively monitors electrical draw in real time.

00:04:15: Right so if the warehouse HVAC system kicks into high gear, the software instantly throttles down the charging speed to the trucks.

00:04:23: Exactly so.

00:04:24: they never trip the main breaker.

00:04:26: They just diverted energy precisely when and where it was needed using the limits that already had

00:04:31: no million dollar trenching required.

00:04:33: But um let me play devil's advocate for a second here.

00:04:36: go for it.

00:04:37: Optimization sounds amazing When you have a baseline of power to manage.

00:04:41: but what if a depot has literally zero electrical headroom left?

00:04:45: Yeah That's a tough one.

00:04:47: Software can't magically create electricity, right?

00:04:50: If the grid is maxed out aren't you just stuck waiting half a decade for utility upgrade anyway.

00:04:55: That's very real constraint.

00:04:57: and it exactly the bottleneck Joachim Lohs addressed in his recent breakdown.

00:05:01: The answer to that zero-headroom problem Is BES battery energy storage systems.

00:05:07: Ah... Right.

00:05:09: So instead of waiting years for the utility fleets install industrial scale batteries directly on site.

00:05:15: Think about like water tower Right?

00:05:17: If you have a tiny low pressure pipe from the city, You can't fill fifty fire trucks at once.

00:05:22: But if let that tiny pipe trickle into massive water tower twenty-four hours of day... ...you just dump it all in to the truck when they arrive!

00:05:29: That's perfect analogy for Begus Joagim noted that pairing these storage systems with intelligent software gives fleets a forty-three percent increase in vehicle throughput.

00:05:39: Without upgrading the grid connection.

00:05:41: and they're seeing what, a seventy three percent drop in energy costs?

00:05:44: Yeah

00:05:44: because they avoid peak demand charges completely.

00:05:47: They captured cheap offpeak power at night store it And push into trucks during peak daytime

00:05:52: hours.

00:05:53: By passing utilities pricing surges entirely.

00:05:56: And the physical hardware for this is evolving so fast, NB WhoFoot highlighted Shell's new recharge power pack five hundred.

00:06:04: Which has such a strategic development?

00:06:06: it's just modular DC fast charging solution

00:06:09: Right!

00:06:09: So a depot can start small like two charge points and gradually scale up to six as fleet grows

00:06:14: Entirely avoiding full depots tear down Taking flexibility even further.

00:06:19: look at Antony Okurubito update on B-Charge TV.

00:06:22: Oh the mobile bumble units.

00:06:24: Yes

00:06:25: Picture a sixty five kilowatt DC fast charger with its own two hundred kilowatt hour onboard battery completely self-contained.

00:06:33: You

00:06:34: literally drive it directly to astranded vehicle on the highway or just maneuver around crowded logistics yard,

00:06:40: right?

00:06:41: So if delivery van comes back undercharged you don't tow the van... ...you drive the Charger To The Van which

00:06:47: fundamentally changes uptime reliability.

00:06:50: But, you know we need to ask why fleets are doing all this complex planning in the first place.

00:06:54: It always comes down to raw economics.

00:06:56: The tipping point isn't theoretical anymore it's highly mathematical.

00:06:59: The math is undeniable.

00:07:01: Selene Parlak ran numbers on a one hundred vehicle fleet over just ninety days.

00:07:06: Right because regional gas prices surge right from like four fifty to six dollars a gallon.

00:07:11: Yeah So that combustion fleet spent about two-hundred and two thousand dollars fuel.

00:07:16: But she calculated that if they had been running EVs on a commercial rate, it would have cost sixty-one thousand dollars.

00:07:21: Wow!

00:07:22: So they would've saved one hundred and forty-one thousands in just three months?

00:07:25: Exactly...and thats just North America.

00:07:27: Gavin Mooney pointed out an astonishing shift to China.

00:07:30: Right analysts always assumed heavy trucks will be the absolute last segment of electrification because weight and physics.

00:07:37: But projections for December twenty-twenty five show battery powered trucks surpassing fifty percent monthly sales in China

00:07:44: Half the heavy market.

00:07:45: That just defies all of traditional timelines.

00:07:47: Oh,

00:07:47: it really does.

00:07:48: And its driven entirely by falling battery prices and cheap commercial electricity Saving operators there roughly a hundred sixty-five thousand dollars per truck over ten years.

00:07:58: Meanwhile Peorder Pollack noted that Africa's EV imports more than doubled.

00:08:03: recently Ethiopia even banned the import of combustion vehicles entirely.

00:08:07: Which makes total macroeconomic sense for them, they have a ninety percent renewable energy grid and EV owner there spends like four dollars a month on charging versus twenty seven dollars on liquid fuel.

00:08:17: It's a margin defense strategy on national scale.

00:08:20: but you know transitioning to these fleets introduces whole new headache.

00:08:23: Managing physical vehicle is one thing managing data that produces another

00:08:27: which brings us perfectly our second theme AI and telematics And The End Of The Dead dashboard.

00:08:32: If you work in logistics, you know the feeling.

00:08:35: You log into your portal and you're just drowning in charts fault codes alerts.

00:08:38: Yeah it's a dead dashboard because data sits there.

00:08:42: It requires human to spend hours digging for signal.

00:08:46: but AI is completely changing that dynamic.

00:08:48: But we need clarify how its changing things.

00:08:51: Jan & Seiler made crucial distinction here.

00:08:54: Smart fleets aren't waiting some magical fully autonomous AI.

00:08:58: No they are deploying right now.

00:08:59: make their existing human experts go further.

00:09:02: Victor Gonzalez at Flivo echoed that perfectly.

00:09:05: Yeah, he pointed out that fleet teams are exhausted by all the AI transformation buzzwords.

00:09:10: they just want AI to do the practical boring administrative jobs.

00:09:14: exactly cross-referencing fuel receipts with GPS timestamps to flag a duplicate charge spotting a hidden maintenance pattern across fifty vehicles

00:09:24: cutting out hours of manual entry.

00:09:26: its ai is a teammate not an oracle.

00:09:29: David Prusinski shared a brilliant example of this with VMS launching VC.

00:09:33: Right, VIC acts as an AI fleet teammate because historically a telematic system just shows red dot on the map for breakdown.

00:09:41: But VIC takes it so much further.

00:09:44: It identifies the diagnostic issue, checks area for fastest repair shop and automatically sources a temporary replacement vehicle in seconds.

00:09:52: Turning a raw analytic into logistical action!

00:09:55: And what's wild is that sometimes best interface isn't even dashboard?

00:09:59: Oh like MR Boxxia example He shared this use case where an engineering team used NENN automation to build AI agent for fire truck maintenance.

00:10:08: They embedded it right inside WhatsApp.

00:10:10: Such smart architectural decision.

00:10:12: For context One-eighth is a workflow automation tool, like digital glue between software.

00:10:17: Right and fire departments often rely on paper logs or clunky legacy software but inside WhatsApp the barrier to entry is zero.

00:10:24: A mechanic.

00:10:24: just texts generate readiness report Or truck twelve health status And AI pulls telemetry from the maintenance system Translates it and text back in plain English

00:10:35: Making AI invisible.

00:10:37: But to fuel these tools, you need pristine data.

00:10:40: Johann Hendricks pointed out that OEMs are finally embedding Telematics hardware directly at the factory

00:10:45: Which is a monumental shift.

00:10:47: Fleet managers don't have debate after market vendors anymore or take trucks of service for complex installations.

00:10:53: The vehicle rolls off the lot and the data layer's just active.

00:10:56: but I'll push back here because this sounds like disaster for multi-brand fleet.

00:11:01: How so?

00:11:01: Well if I manage five hundred vehicles, i probably have Ford vans Hyundai sedans international box trucks.

00:11:08: If every OEM has their own walled garden portal don't I just end up with fifteen different fragmented dashboards?

00:11:16: That is the exact friction point the industry is dealing with and it's what Arpen Mandel addressed regarding Geotab's OEM integration strategy.

00:11:24: So the solution isn't fifteen logins.

00:11:26: No,

00:11:26: The Solution is API Harmonization.

00:11:29: Platforms like GeoTab ingest proprietary signals from over thirty OEM brands and translate them into a single uniform language...

00:11:36: ...so it's like a universal translator!

00:11:38: Ford's break fault code and Hyundai's break-fault code both become one standard alert for the manager.

00:11:43: Exactly you get factory installed hardware but one unified data stream And when you have that You can uncover insights.

00:11:49: they completely alter your business model.

00:11:51: like Gary Crooks's insight, that might be the most profound operational hack we saw in this entire deep dive.

00:11:57: The

00:11:58: idling one?

00:11:58: Yes

00:11:59: typically idling is viewed purely as a fuel waste problem.

00:12:03: A manager yells at a driver for leaving the engine running right

00:12:05: but gary explains That if you connect your telematics idling data directly into your customer billing software via API The context completely shifts.

00:12:15: You stop looking at where a truck is idling and you start looking at who that truck Is idling.

00:12:19: four yes

00:12:21: you might be unknowingly subsidizing your top client's terrible operational habits.

00:12:26: Exactly!

00:12:27: You realize specific clients consistently keep your drivers waiting at their loading docks for two hours, so you calculate exactly which customers are costing the most.

00:12:36: And once you have that objective data... ...you unbundle the contract.

00:12:39: You'd charge those inefficient customers a premium for excessive wait times.

00:12:43: And reward the efficient ones, you take a hidden cost and flip it into a direct revenue conversation.

00:12:49: It's

00:12:49: the ultimate example of data moving from passive observation to active business strategy which actually brings us seamlessly to our final theme fleet safety.

00:12:59: Right because safety is no longer just an HR compliance box.

00:13:03: It is a major lever for cash preservation.

00:13:05: The

00:13:05: dollar figures here are just staggering, look at Stephen Lynch's case study on Walthall Oil.

00:13:10: they were growing fast struggling to track equipment in rural areas.

00:13:14: so the equipped their whole fleet with Samsara AI multi-cams and result.

00:13:19: They saved over five million dollars in false liability claims.

00:13:24: Five million dollars that would have otherwise walked out of door.

00:13:28: unwarranted settlements because now they had HD video proving there driver wasn't fault.

00:13:32: No more conflicting eyewitness testimony.

00:13:35: Plus, they fed that data into a driver incentive program causing a seventy-three percent drop in fleet speeding.

00:13:41: and

00:13:41: Bobak Shrifian shared an equally impressive story about rolling out samsara across universe forty five hundred vehicles.

00:13:47: The impact there was one point six seven million annual accident claim savings.

00:13:51: One point five million fuel savings And over a million in predictive maintenance.

00:13:56: Over four million dollars retained annually.

00:13:58: But the critical detail he emphasized was the culture.

00:14:00: It wasn't about creating a surveillance state to punish drivers.

00:14:03: Right, The system uses in-cab audio alerts for constructive coaching and real time correcting harsh breaking habit before it becomes crash

00:14:11: Building.

00:14:12: that trust is paramount.

00:14:14: However there's also very harsh legal reality forcing fleets to adopt this regardless of culture.

00:14:20: Yeah, Kelly Soderland highlighted a recent unanimous Supreme Court ruling that just fundamentally alters the liability landscape.

00:14:27: Right for freight brokers.

00:14:29: historically brokers had this degree of separation from the accidents their hired carriers caused

00:14:34: but This ruling obliterates That shield.

00:14:36: The court essentially said brokers can be held financially liable For negligently selecting an unsafe carrier.

00:14:41: The

00:14:41: implications are huge.

00:14:43: You Can't Just rely on A gut feeling or checking a commercial license anymore.

00:14:46: if a broker hires a fleet and there's a fatal nuclear verdict accident, the broker can be sued directly if they didn't objectively verify the fleet safety culture.

00:14:56: Documented safety data like AI alert responsiveness is now the mandatory price of admission to bid on freight

00:15:02: contracts.".

00:15:03: And the commercial insurance industry is all over this too.

00:15:06: Lesson Cherian shared that motive officially partnered with GEICO.

00:15:09: Yeah, the days of premiums based entirely on historical data are ending.

00:15:13: Right!

00:15:14: If a fleet uses MOTIV's AI dashcams, DIICO ingests that behavioral data to directly and dynamically lower their premiums.

00:15:22: The safer your telemetry proves you're...the less capital you forfeit to your insurer.

00:15:28: which makes understanding the mechanical root cause of accidents critical.

00:15:32: which brings us to Rob Carpenter's fascinating breakdown on rear-end crashes.

00:15:37: Because they're incredibly expensive for fleets, and historically the conversation always defaults to physical engineering right?

00:15:43: under eye guards, reinforce bumpers.

00:15:45: Physics calculations of what happens after the impact.

00:15:47: but Rob pointed out that a rear-end crash is almost never a bumper problem first.

00:15:51: it's an attention problem first

00:15:53: right?

00:15:54: The crash was born three seconds earlier in the cab when a driver looks down at text message and loses spatial awareness.

00:16:00: And that cognitive failure exactly where machine vision steps in.

00:16:04: Claude Hochrotner from Geotab shared data on how their AI powered telematics actually work.

00:16:10: The software dynamically maps facial landmarks and tracks pupil gaze.

00:16:15: It recognizes the drivers looking down at a phone before their foot ever needs to hit the brake, triggering an immediate audio warning...

00:16:22: And this cut driver phone used by ninety-five percent?

00:16:25: Ninety five percent!

00:16:26: You eliminate the phone use you eliminate the distraction and you prevent the crash before the bumper is ever involved.

00:16:31: it's just incredible tech.

00:16:32: So if we step back and synthesize everything, We've covered from dynamic load balancing to API translation.

00:16:39: To machine vision.

00:16:40: what?

00:16:40: We're witnessing is a profound maturity taking hold in mobility sector.

00:16:45: The industry is shifting from theoretical sustainability goals too hard economics

00:16:50: exactly operationally graduating From passive data collection into an era of automated AI driven action

00:16:57: which leaves us with A really fascinating question to ponder.

00:17:01: Think about the mechanics of everything we just explored, if software handles your grid load balancing.

00:17:06: And

00:17:06: an AI agent like VIC automatically sources you replacement parts

00:17:10: and machine vision actively monitors in coach's driver safety without human intervention The daily job description of a fleet manager is completely transformed.

00:17:21: You're

00:17:21: no longer an operational firefighter putting out daily emergencies!

00:17:24: Right, you are being forced to become a strategic systems architect designing the rules and APIs for how these automated systems interact.

00:17:32: So final thought I want leave with today as this As the technology inevitably steps up to handle day-to-day operations, are you ready for that shift in your own career?

00:17:42: If you enjoyed this episode new episodes drop every two weeks.

00:17:46: Also check out our other editions on electrification and battery technology future mobility and market evolution And next gen vehicle intelligence.

00:17:53: Thanks so much for joining us on this deep dive.

00:17:55: Don't forget to hit subscribe So you never miss an insight.