Every exception, status inquiry, and end-of-day report requires a human in the loop. We build AI systems that handle the routine operational communication so your team focuses on the exceptions that actually need judgment.
Freight brokers, carriers, and 3PLs
These are the problems we fix most often for logistics businesses.
A shipment delay triggers a cascade of calls and emails: carrier, customer, internal ops. Most of this communication is templated and predictable. The judgment calls are rare. But every exception gets full human attention regardless of complexity.
'Where is my shipment?' is your most common inbound inquiry. The answer is already in your TMS. But someone has to look it up, call back or email, and log the interaction. AI can answer this inquiry automatically and instantly.
Assigning loads, confirming pickups, communicating delays to drivers: this is high-frequency, low-complexity communication that consumes dispatcher time that should go to load optimization and carrier relationships.
End-of-day and end-of-week reports require pulling data from multiple systems, cleaning it, and formatting it for different audiences. This is a predictable, repeatable task that should be automated but usually isn't.
Each workflow is built inside your existing tools. No new software required.
Exception flagged in TMS → AI sends proactive notification to customer with context and expected resolution → internal escalation routed to the right ops team member → follow-up triggered when resolution is confirmed. Customer is informed before they call.
Customer inquires about a shipment via email or web form → AI pulls status from your TMS in real time → responds with current location, estimated delivery, and next update. No human in the loop for routine status inquiries.
Load assigned → driver receives automated pickup confirmation with details → check-call reminders sent at defined intervals → delivery confirmation requested → customer notified on delivery. Communication loop closes automatically.
End of defined period → AI pulls data from your TMS and other systems → compiles into your standard report format → distributes to the right recipients. The same report that took 2 hours takes 2 minutes.
These are real workflow examples, not hypotheticals. Each one runs automatically once it is built.
Trigger
Exception detected in TMS
Steps
Result
Customer informed proactively, ops team alerted only when needed
Trigger
Inbound status inquiry from customer
Steps
Result
Status inquiries answered instantly without ops team involvement
We do not hand you a plan and leave. We build the system and keep it running.
A 30 to 45 minute call to find your highest-impact workflow. You leave with a clear recommendation and a fixed-price proposal.
We build one workflow inside your existing tools. Fixed scope, fixed fee, running in days.
After the pilot works, we stay on to monitor, optimize, and add new workflows every month.
Questions we hear often from logistics businesses before they book a diagnostic.
Yes, if your TMS has an API or data export, we can build an AI layer that pulls real-time shipment status and responds to customer inquiries automatically. The customer gets an instant, accurate response. Your ops team only gets involved when there's an active exception or the status is genuinely unclear.
We connect to your TMS to monitor for exception flags: delays, missed pickups, transit issues. When an exception is detected, the AI sends a proactive customer notification with context and expected resolution, routes an internal alert to the right ops team member, and triggers a follow-up sequence to confirm resolution. The exception is managed systematically rather than reactively.
We integrate with the major TMS platforms: McLeod, TMW, MercuryGate, Turvo, and others, as well as common WMS systems. Integration feasibility depends on API availability and data export options, which we assess during the free diagnostic call.
Yes. We build the automation layer on top of your existing dispatch workflow rather than replacing it. Dispatchers continue to make load assignments and routing decisions. The AI handles the downstream communication: driver confirmations, check-call reminders, and delivery notifications. Dispatcher time shifts from communication to optimization.
We define your standard report structure: what data, what format, what frequency, who receives it. We then build a workflow that pulls from your TMS and other data sources on schedule, compiles the report, and distributes it automatically. If the data is in a system with API access, we can automate the report. If it requires manual export, we build around that constraint.
Book a free 30-minute AI Diagnostic. We will identify your highest-impact workflow and tell you exactly what we would build to fix it.
Book a Free AI Diagnostic