AI Automation for Logistics Teams Tired of Chasing Shipments
One timeline for every shipment across carriers and modes, exceptions caught before the customer calls, and shipping documents that file themselves, without replacing the TMS you already run.
- TMS
- Carrier portals & APIs
- ELD & telematics
- Customer inboxes
- Customs & compliance filings
The Challenge
Dispatch desks do not lose the day to hard decisions. They lose it to checking, chasing, and re-typing what the carrier already knows.
Dispatchers spend the day checking on freight
Tracking one shipment across three carriers means three portals, two phone calls, and a spreadsheet. The customer still asks where their load is.
Exceptions surface when the customer notices
A missed pickup, a blown appointment, or a weather delay is known to the carrier long before it is known to you. By the time it reaches your inbox, the customer is already unhappy.
Paperwork rides along on people
Bills of lading, proof of delivery, customs forms, and rate confirmations get keyed from one system into the next by hand. Every hop is a chance to get it wrong.
Capacity gets planned from a guess
Without a clear read on volume trends, you either overcommit trucks or scramble for coverage at spot rates. Both cost money.
What an Agent Takes Off Your Plate
Agents that watch, match, and prepare, so your dispatchers spend their time on the recovery decisions and the customer relationships.
Every shipment in one place
Pulls status from carrier APIs, portals, and emails into one timeline per load, so dispatch stops logging into five systems to answer one question.
Exceptions caught early, customers told first
Watches for missed milestones and delay signals, drafts the customer notice, and escalates to a dispatcher only when a decision is needed.
Shipping paperwork that files itself
Reads BOLs, PODs, and rate confirmations in whatever format they arrive, matches them to the shipment, and updates the TMS with the source document attached.
Volume forecasts you can plan against
Rolls up lane history, seasonality, and open orders into a weekly capacity view, so coverage decisions happen before the crunch instead of during it.
These run as Managed Agents. We build them, run them, watch the outcomes, and expand what they can do as your needs grow. You do not manage the technology. We do.
See Managed Agents →A shipment’s day, with the agent watching
From tender to proof of delivery, with your dispatcher stepping in only where a real decision is needed.
- Starts withA load is tenderedThe shipment is created in your TMS exactly as it is today.
- AgentMilestones tracked automaticallyPickup, in-transit, and delivery updates gathered from the carrier, wherever they publish them.
- AgentDelay spotted, notice draftedA missed appointment triggers a customer update and a recommended recovery option.
- Your teamApprovalDispatcher decides the recoveryReroute, reschedule, or wait. The agent prepares the options; your dispatcher chooses.
- Your systemsPOD matched and filedProof of delivery reconciled to the shipment and the invoice, ready for billing.
Carrier negotiations and customer escalations stay with your people, and the agent never changes a load without a dispatcher’s say-so.
The First Workflow We’d Build
Autonomy is an operating cost. We spend it first where the rules are clear, the volume is real, and a mistake is easy to catch.
Shipment tracking and exception alerts
It is high volume, every carrier publishes status somewhere, and a wrong alert is cheap to correct. Once dispatch trusts the timeline, document matching is the natural second step.
- High frequency
- Clear rules
- Real system access
- Recoverable if wrong
- Week 1Map the workflow, set the scorecardCycle time, error rate, escalation rate, cost per run. Your numbers, your baseline.
- Week 2Build with read-only or draft-only accessThe agent prepares the work. It cannot act on your systems yet.
- Week 3Run it beside your peopleCompare its output with how the work is done today. Fix what it gets wrong.
- Week 4Grant narrow write access where the evidence supports itWith a kill switch and an audit log in place before it touches anything real.
- Your team approves every consequential action
- Every action is logged and traceable
- A kill switch your operations staff can hit
- Runs inside your tools; on-premise available
What Your Business Gets Back
The scorecard, from customer check-in calls avoided to dispatcher hours saved, is set with you against your own baseline in week one.
- Dispatchers answer “where is my load” from one screen
- Customers hear about delays from you, not the other way around
- BOLs and PODs matched and filed with the source attached
- Capacity planned from data instead of memory
- Fewer late-night check-in calls for everyone
How This Holds Up in Practice
The deployments and the thinking behind this playbook, written for operators rather than engineers.
Same playbook, different vocabulary. See how it applies elsewhere.
Foundation AI
Tell us which carriers, systems, and customers make your dispatch desk’s day hardest. We will map where an agent pays back first.