Datatruck Raises $12M Series A to Accelerate AI-Native TMS for Carriers
2/19/26, 11:01 PM
9 Ways Carriers Can Reduce Operating Costs in 2026
.png)
Operating costs in trucking don't creep up gradually - they pile up fast, and most carriers don't see the full picture until month-end when the damage is done. Fuel, maintenance, driver pay, deadhead miles, rejected invoices, and manual back-office work all have room to come down. But you can only cut what you can actually see.
Why Most Carriers Struggle to Reduce Costs
The problem isn't that carriers spend carelessly. Most fleet owners watch expenses closely. The problem is they're watching them in aggregate, not at the load or truck level. When you only see total fuel spend for the month, you can't tell which truck is burning 10% more than it should. When you track revenue without separating direct costs per load, you can't identify which lanes are quietly losing money.
Cost reduction strategies for carriers only work when you have data granular enough to act on. That starts with knowing your actual cost per mile for each truck, each lane, and each driver - not just a fleet-wide average.
1. Control Fuel Costs With Better Routing and Load Matching
Fuel typically accounts for 25-35% of a carrier's total operating costs. For a fleet running 30 trucks, that's a significant number moving up and down based on routing decisions, idle time, and driver behavior. The carriers who consistently keep fuel costs low aren't just buying cheaper fuel - they're managing the variables that drive consumption.
Cut Deadhead Miles
Every empty mile you drive is pure cost with zero revenue attached. Cutting deadhead miles by even 10-15% has a direct and immediate impact on your cost per mile across the fleet.
How to reduce deadhead miles:
Search multiple load boards simultaneously for backhaul opportunities
Book return loads before the current delivery completes
Analyze lane profitability to identify consistent round-trip routes
Use AI tools that automatically match trucks to profitable backhauls
Datatruck's AI Dispatcher searches DAT, TruckStop, 123LoadBoard, Uber Freight, and RXO simultaneously to find the best-paying backhaul loads before a truck goes empty, which is how carriers using it see a 10-15% reduction in empty miles.
Reduce Idle Time
A truck idling for two hours daily burns roughly one gallon of fuel per hour. Across a 30-truck fleet, that adds up to hundreds of gallons monthly with nothing to show for it. Telematics integrations inside a TMS for carriers let you spot idle patterns by driver and address them directly rather than guessing.
2. Stop Accepting Loads That Don't Cover Your Costs
One of the fastest ways to reduce operating costs is to stop accepting loads that don't cover your costs. This sounds obvious, but it's harder than it sounds when your dispatcher is booking loads from multiple boards under time pressure without a clear picture of what that lane actually costs to run.
Revenue per mile is only half the equation. A load paying $2.50 per mile on a lane where your all-in costs run $2.40 is barely worth taking when you factor in wear, driver time, and the opportunity cost of a better load.
Track Profit Per Load, Not Just Revenue
Carriers that track profit per load, not just revenue per load, make structurally different booking decisions. You need to see:
Direct costs per load (fuel, tolls, lumper fees, accessorials)
Broker deductions and factoring fees
Driver pay allocated to the specific load
Net margin after all costs are attributed
Datatruck shows you profit per load, per truck, and per lane in real-time as your business runs - not at month-end, not after your accountant reconciles everything. Right now, so the next booking decision is based on actual margin data.
3. Switch From Reactive to Preventive Maintenance
Unplanned breakdowns cost carriers two to three times more than scheduled maintenance. A roadside breakdown means a tow, a repair at non-negotiated rates, a delayed delivery, and often a service failure with a broker who may not use you again. The hidden cost of reactive maintenance goes well beyond the repair bill.
Maintenance Approach | Cost Per Incident | Impact on Operations |
Preventive (Scheduled) | $500-800 | Minimal - planned downtime |
Reactive (Breakdown) | $1,500-2,400 | Severe - missed delivery, broker relations damaged |
Carriers who track mileage per truck accurately and schedule maintenance based on real data rather than estimates spend significantly less on repairs over time. Fleet management efficiency comes down to knowing your assets well enough to maintain them before they fail.
When your TMS is connected to telematics through 100+ pre-built integrations, you get real odometer data automatically, which makes scheduling maintenance on actual usage instead of guesswork straightforward.
4. Eliminate Back-Office Costs With Document Automation
Manual data entry, chasing broker updates, re-keying information between systems, rejected invoices, and hours spent on driver settlements don't show up as a line item, but they're real. They show up as labor hours spent on tasks that produce no revenue.
The Real Cost of Manual Document Processing
The hidden costs of manual dispatching alone can run into thousands of dollars per month when you account for dispatcher time, errors, and missed opportunities from slow booking.
Time spent on manual tasks per load:
Rate confirmation entry: 3-4 minutes
BOL/POD verification: 2-3 minutes
Invoice creation: 5-7 minutes
Broker update emails: 10-15 minutes
Total per load: 20-29 minutes of manual work
For a fleet processing 50 loads per week, that's 16-24 hours of manual work weekly - equivalent to a half-time employee doing nothing but paperwork.
TruckGPT processes rate confirmations, BOLs, PODs, and 20+ other document types in under 15 seconds with 90%+ accuracy. For a fleet processing 50 loads weekly, eliminating manual data entry frees up hours every single day that can go toward actual revenue-generating work.
5. Reduce Invoice Rejections and Payment Delays
An invoice rejected for a missing POD or mismatched PO number means a delayed payment, a back-and-forth with the broker, and administrative time that costs money. Invoice rejections directly impact cash flow and add hidden administrative costs.
Common Invoice Rejection Reasons
Missing or incomplete proof of delivery
PO number mismatch between rate con and invoice
Incorrect addresses or delivery dates
Missing BOL or bill of lading documentation
Rate discrepancies from original confirmation
Datatruck's AI verifies BOLs and PODs automatically before invoices go out, comparing PO numbers, addresses, and page counts. This is how carriers using the platform see 80% fewer rejected invoices, which translates directly to faster payment cycles and reduced back-office costs.
6. Get Driver Payroll Right the First Time
Driver settlement errors create two problems. The first is obvious: an overpayment or underpayment that needs to be corrected. The second is less visible: driver frustration from incorrect settlements damages retention, and driver turnover is one of the most expensive operational costs in trucking.
Cost Category | Amount Per Driver |
Recruiting & Advertising | $1,500-3,000 |
Background Checks & Onboarding | $800-1,500 |
Training & Orientation | $1,200-2,500 |
Productivity Loss (First 60 Days) | $1,500-5,000 |
Total Cost to Replace One Driver | $5,000-12,000 |
Getting driver payroll right with automation removes the manual calculation errors that create both financial and retention problems. When settlements are accurate and on time, drivers notice. That's a retention benefit that directly reduces one of your biggest cost drivers.
7. Capture Every Accessorial Charge You're Owed
Many carriers consistently fail to invoice for all the accessorial charges they're owed. Detention, lumper fees, layover, and fuel surcharges that weren't captured in the original rate con add up to real money left uncollected.
Every accessorial charge your team doesn't invoice is a direct reduction in revenue that inflates your effective cost per mile.
Commonly Missed Accessorial Charges
Detention: $50-75 per hour after 2 hours at pickup/delivery
Lumper fees: $50-300 per load for unloading services
Layover: $100-200 per day for extended delays
TONU (Truck Ordered Not Used): $100-200 for canceled loads
Fuel surcharges: Variable based on fuel price index
When load creation is automated through TruckGPT and costs are tracked at the load level, accessorials get captured and billed consistently rather than forgotten in the manual flow.
8. Track Metrics That Show Where to Cut Costs
You can't reduce costs across the board without knowing which costs are actually high. The top metrics every carrier should track include cost per mile by truck, revenue per mile by lane, empty mile percentage, invoice rejection rate, and driver utilization.
Essential Cost Metrics Dashboard
Metric | Target Range | Red Flag Threshold |
Cost Per Mile | $1.50-2.00 | Above $2.20 |
Empty Mile % | 10-15% | Above 20% |
Fuel Cost % of Revenue | 25-30% | Above 35% |
Invoice Rejection Rate | Below 5% | Above 10% |
Average Days to Payment | 25-35 days | Above 45 days |
When these numbers are visible in real-time rather than monthly reports, you can act on them before they become serious problems. The six reports every fleet owner should review weekly give you the operational picture you need to make cost decisions before the month closes.
9. Use AI to Automate Broker Communication
Brokers want updates at specific milestones: driver dispatched, picked up, in transit, delivered. Most carriers handle this manually, burning hours on "where's my load" calls and update emails.
Time Spent on Broker Communications Per Load
Dispatch confirmation: 3-5 minutes
Pickup confirmation + BOL: 5-7 minutes
In-transit updates: 5-10 minutes
Delivery confirmation + POD: 5-7 minutes
Responding to "where's my load" calls: 10-15 minutes
Total: 28-44 minutes per load
AI Updater automates broker emails at six load stages and handles "where's my load" calls 24/7. This eliminates 70% of routine communication time while improving broker satisfaction. Your team handles exceptions, not routine updates.
Real Carrier Results: Cost Reduction in Action
Ray Cargo scaled from 50 to 350+ trucks while saving over $150,000 annually. The savings came from eliminating manual work, reducing invoice errors, and having the financial visibility to stop running unprofitable lanes.
PAVA Logistics runs 200 trucks with cost per mile consistently below industry averages. Their approach is simple: real-time data on every truck, every load, every driver. No guessing.
Cost Reduction Results Carriers Report
Cost Category | Average Reduction | How It's Achieved |
Empty Miles | 10-15% | AI-powered multi-board load search and backhaul matching |
Manual Workload | 90% | Document automation with TruckGPT |
Invoice Rejections | 80% | AI verification of BOL/POD before submission |
Communication Time | 70% | Automated broker updates with AI Updater |
Settlement Errors | 95% | Automated driver pay calculation |
Start Reducing Costs With Real-Time Visibility
Datatruck is the TMS for carriers that shows you cost per mile, profit per load, and profit per truck in real-time so you can make cost reduction decisions based on actual data, not month-end summaries. Our AI-native platform automates document processing, load booking, and broker communications so your team spends less time on manual work and more time on work that moves the business forward.
Book a free demo and see how Datatruck helps carriers cut operating costs with real-time financial visibility and AI automation built specifically for trucking.