Dispatcher Copilot
Dispatch without the bottleneck.
AI that turns your best dispatcher's hard-won know-how into a system — optimizing routes, assigning drivers, and scaling operations without scaling headcount.
200+
daily routes optimized
-50%
planning time
6-8 wks
deploy time
The problem
Sound Familiar?
Operations run through one person's head
Your best dispatcher holds the entire operation in memory. When they're out, everything runs at 60%.
Route planning is manual and suboptimal
Dispatchers build routes from experience, not data. Empty miles, deadhead runs, and missed consolidation opportunities compound daily.
Can't scale without scaling headcount
Every 50 new routes needs another dispatcher. The hiring, training, and ramp-up cycle can't keep pace with growth.
No real-time adaptation
When a driver calls out or a delivery window shifts, manual re-routing takes hours. Customer SLAs slip.
The solution
How Dispatcher Copilot Works.
Our Dispatcher Copilot connects to your dispatch software (your TMS) and GPS tracking to recommend the best route assignments, flag problems before they blow up, and re-route in real time when conditions change. It captures what your best dispatchers know and makes it available to the whole team.
Process
How We Deploy It.
Bring in your operational data
Connect your dispatch software, GPS tracking, and historical route data. Map your constraints — driver certifications, vehicle types, customer windows.
Model your dispatch logic
Capture your best dispatcher's decision patterns. Encode preferences, exceptions, and priority rules into the copilot.
Deploy in co-pilot mode
AI recommends assignments. Dispatchers approve or override. The system learns from every decision.
Scale to autonomous dispatch
As confidence builds, move from co-pilot to auto-pilot for routine assignments. Dispatchers focus on exceptions only.
Integrations
Built to Work with Your Stack.
McLeod
Samsara
Project44
FourKites
Motive
TrimbleResults
What Operators See After Deploy.
200+
daily routes optimized
-50%
planning time
6-8 wks
deploy time
FAQ
Common Questions About Dispatcher Copilot.
Quick answers to what operators ask before deploying dispatcher copilot. Don’t see your question? Bring it to the 30-minute call.
- No. It amplifies them. Your dispatchers handle exceptions and customer relationships — the AI handles the math of route optimization, constraint satisfaction, and real-time re-routing that humans shouldn't be doing manually at scale.
- We spend 2-3 weeks in discovery mapping your constraints — driver certs, vehicle types, customer time windows, hazmat rules, union requirements. Then we model your best dispatcher's decision patterns from historical data.
- McLeod, Samsara, Project44, FourKites, Motive, Trimble, and most modern TMS platforms with API access. We've also built custom integrations for legacy systems.
- Most operators see measurable reduction in empty miles and planning time within 60 days of go-live. Full ROI (typically 3-5x) materializes over 6 months as the system optimizes from real operational data.
- Yes. Real-time re-routing is a core capability. Driver callouts, weather, traffic, customer reschedules — the copilot re-optimizes remaining routes within minutes and communicates changes to drivers automatically.
See If Dispatcher Copilot Fits Your Operation.
30 minutes. No pitch deck. We whiteboard your current stack and show you exactly where dispatcher copilot moves the needle.