Shane Moncus

Supply Chain & Logistics Operations Leader | Helping trucking fleets & manufacturers cut costs 20–40% with AI tech consolidation + real-time visibility

[Shane Moncus @Shane_Moncus]

1/10

Why most AI projects in trucking and supply chain never deliver the promised results — and it’s almost never the AI itself.

After 15+ years running dedicated fleet operations at scale, I’ve seen this pattern repeatedly.

The real killer? Data fragmentation across dozens of disconnected systems.

Thread 👇

[Shane Moncus @Shane_Moncus]

@ThunderBahl @MogLifeLabs I have one of those scales too and love it!

[Shane Moncus @Shane_Moncus]

@365247Sports @LeadingReport Exactly, school or player salary caps needed to level the playing field, literally.

[Shane Moncus @Shane_Moncus]

@kryoak3 @LeadingReport Not solved, still need a player salary cap.

[Shane Moncus @Shane_Moncus]

@LeadingReport Now put a salary cap on players, players should choose their school because of the coach, facilities, and prestige. Not because one college has deeper pockets.

[Shane Moncus @Shane_Moncus]

Diesel just spiked again—feels like every pump visit costs more than last week. Combine that with March produce lanes tightening up in the South (reefer capacity getting scarce fast) and empty miles still eating profits... it's testing everyone's margins right now.

What's hitting your operation hardest this month—rising diesel eating surcharges, chasing backhauls, detention delays stacking up, or something else?

Drop your biggest pain point below. I read every reply. Let's commiserate and maybe swap a hack or two.

#Trucking #SupplyChain #Logistics #TruckerLife

[Shane Moncus @Shane_Moncus]

@FreightAlley Don't forget oil refineries, that to me appears to be a big target based on their current tageting of oil infastructure in the Middle East.

[Shane Moncus @Shane_Moncus]

Trucking & supply chain leaders:

Your AI investment is only as good as your data foundation.

After 15+ years running fleet operations, I’ve watched too many “game-changing” data restructuring projects crash and burn because of fragmented systems (TMS, telematics, ERP silos).

The result? No real-time visibility and missed 20–40% cost savings.

Quick win: Start by creating one trusted data layer before layering AI.

What’s the #1 data headache in your operation right now?

Reply below — I read every one 👇

#SupplyChain #Logistics #Trucking #AIinLogistics

[Naval @naval]

Work with hardcore people on hardcore things.

[Shane Moncus @Shane_Moncus]

@USDOT @SecDuffy @MonicaCrowley @Freedom250 Link not working…

[Shane Moncus @Shane_Moncus]

@dartinguphill I have less than 100, but I am not sure I buy all of these, I will help you get to "X" number of followers. To me, I would think it has to come from engagement and content.

[Shane Moncus @Shane_Moncus]

@luke_franklin_ @FreightAlley I recently signed up for the app and received a free month trial. However, I’m somewhat disappointed with the limited dashboards and data available. It doesn’t compare to the depth and functionality of the desktop version of SONAR.

[Shane Moncus @Shane_Moncus]

What’s the biggest data fragmentation headache in your operation right now? (TMS vs telematics, legacy systems, partner silos?)

Drop it below — I read every reply.

[Shane Moncus @Shane_Moncus]

1/10

Why most AI projects in trucking and supply chain never deliver the promised results — and it’s almost never the AI itself.

After 15+ years running dedicated fleet operations at scale, I’ve seen this pattern repeatedly.

The real killer? Data fragmentation across dozens of disconnected systems.

Thread 👇

[Shane Moncus @Shane_Moncus]

10/10

Step 3: Layer AI on top only after the foundation is solid.

Clean data + stable processes = AI that actually delivers 15–25% gains in utilization, on-time performance, and cost control.

What’s the biggest data fragmentation issue you’re facing right now in your operation?

Drop it in the replies — I read every one.

[Shane Moncus @Shane_Moncus]

Most AI projects in trucking and supply chain fail before they even start — and it’s rarely the AI’s fault.

The real issue is data fragmentation across disconnected systems. Here’s why it happens and the practical path forward.

Full thread 👇

#logistics #SupplyChain

[Shane Moncus @Shane_Moncus]

1/10

Why most AI projects in trucking and supply chain never deliver the promised results — and it’s almost never the AI itself.

After 15+ years running dedicated fleet operations at scale, I’ve seen this pattern repeatedly.

The real killer? Data fragmentation across dozens of disconnected systems.

Thread 👇