AI that runs your operations, not your IT department.
We help 3PLs, freight brokerages, and carriers automate exception handling, dispatch decisions, carrier coordination, and back-office workflows, without a year-long IT project.
AI that layers onto the operation you already run.
It plugs into the TMS and tools your team already works in, handles the routine exceptions end to end, and escalates only the cases that genuinely need a human.
Exception intake
Delays, missed appointments, address corrections, carrier issues and customer change requests stream in from every channel: the raw queue your ops team works from.
The state of AI in logistics operations.
Logistics has been slower to adopt AI than tech-native industries: the work is operational, margins are thin, and IT budgets are smaller. But the operational pressure has changed, and the gap between operators who have AI working and those who don’t is widening every quarter.
Customer SLAs keep getting stricter while exception volume grows. The headcount-and-Excel approach to keeping up loses ground every quarter.
Driver and dispatcher shortages aren’t reversing. Scaling operations with headcount is getting harder and more expensive, not easier.
Operators on the wrong side of the gap usually aren’t behind on technology; they’re behind on having the right partner to build it for them.
The operational pressure is real. The right partner is what closes the gap.
Where logistics operators lose money to manual work.
Four patterns we see in every operation, and what each one takes to fix without a year-long IT project.
Exception handling at scale
Delays, missed appointments, address corrections and carrier issues eat hours every shift. The work is repetitive, follows predictable patterns, and your best people would rather be solving harder problems.
An exception-handling agent that resolves the routine cases end to end and escalates only the genuinely unusual ones.
Dispatch decisions by tribal knowledge
Your best dispatchers make hundreds of small calls every shift: which load to which carrier, when to reroute, when to escalate. That knowledge lives in their heads. When they leave or take vacation, quality drops.
We encode the dispatcher playbook into a decision-support layer your ops team can see into and trust, never a black box.
Carrier coordination by email and phone
Status updates, rate negotiations, capacity confirmations and paperwork: the layer between you and your carriers, customers and warehouses is mostly manual. It scales linearly with volume, so headcount grows with the business.
Agents that draft, confirm and reconcile across channels, integrated with your TMS and carrier portals, not bolted on the side.
Back office that grows with the business
Invoicing, freight bill audit, claims processing, document handling: operational growth means proportional growth in back-office headcount. Until it doesn’t, because the routine work gets automated.
Document and reconciliation pipelines that break the link between volume and headcount, with audit trails finance can defend.
What logistics operators actually need from an AI partner.
Three things AI for logistics has to be built around, not retrofitted into.
Two engagement paths, depending on where you are.
We work differently with operators just starting their AI journey versus operators scaling what’s already running.
For operators that haven’t yet deployed AI in their operations.
We map where AI delivers the most ROI for your specific operation, design the integration with your existing TMS and tools, and ship the first production deployment with quantified outcomes built in.
First production AI shipped, with measurement baked in.
For operators already running AI and facing scale issues.
We audit what’s running, identify the highest-ROI optimization wins, and implement with quantified before/after measurement: cost growth, ops team adoption, integration debt, reliability gaps.
Lower cost, wider rollout, higher reliability. Measured.
We don’t just plan it. We ship it.
A multi-region operator was triaging tens of thousands of weekly inventory and shipment exceptions across stores, warehouses and dropship partners. We shipped an exception-handling agent, a real-time reconciliation pipeline, and an ops dashboard.
Operations don’t forgive software that breaks. Neither do we.
Before AI was the conversation, we were building performance-critical, real-time systems for Disney, Coca-Cola, Apple, LEGO, Warner Bros, and SXSW: systems that had to run reliably under unpredictable load, integrate with existing infrastructure, and hold up at brand scale.
That same engineering discipline, systems that work the first time, scale under real load, and layer onto what’s already there, is exactly what logistics operations require. AI your ops team can actually use, integrated with your TMS, with measurable ROI from day one.
