Give the exception queue a next action.
Shipment, rate, tracking, and document systems already hold the signal. We rank exceptions, explain the evidence, and prepare the next action while a coordinator keeps control.
- Transportation management
- Shipment visibility
- Freight brokerage
- Warehouse operations
SHP-40216Missed pickup, Dallas
SLA breaks in 3h 10m
Rebook backup carrier93%SHP-40209Weather hold, I-80
ETA plus 6h, retail DC
Push the delivery slot89%SHP-40201Damaged pallet
Photos from the driver
Open a carrier claim77%SHP-40188Address mismatch
Residential flag
Confirm with consignee58%
Triage delays
Three workflow gaps turn a manageable day into a queue.
- 01
The queue hides the expensive delay.
Coordinators sort by arrival time, then chase each carrier and customer without knowing which delay matters most.
- Queue ranked by delay cost
- Next action shown with context
- Coordinator approves before sending
95%
of missed LTL pickup checks now run through AI agents, according to C.H. Robinson
C.H. Robinson, January 2026 - 02
Status depends on another follow-up.
Teams call carriers and search email threads, then paste a partial answer into the customer record.
- Answer from the latest tracking event
- Carrier follow-up prepared
- Delay notice before the customer asks
90 min
of carrier update work compressed to seconds, as FourKites reports
FourKites press release - 03
The load record starts in a file.
Orders, bills of lading, and invoices are retyped into the TMS before someone spots a quantity or date mismatch.
- Fields extracted into a load record
- Documents matched to the order
- Mismatches flagged for review
03
AI layers for logistics workflows.
Logistics product teams and freight operators get an AI layer on top of the shipment, rate, tracking, and document systems already in use.
For logistics product teams
Load and order management
- Orders read from email and BOLs
- Appointments updated from ETA changes
- Invoices checked against rate and order
- Lane and capacity brief each week
Shipment visibility
- Carrier status follow-up
- Arrival forecast from live data
- Exceptions sorted by delay cost
- Shipment questions answered from events
Brokerage operations
- Missed pickup detection
- LTL quote from a plain request
- Capacity and appointment coordination
- Carrier messages from load context
Warehouse execution
- Receipts checked against the PO
- Labor plan from order volume
- Inventory questions in plain language
- Shift brief with the constraint named
Fleet operations
- Dashcam events identified
- Driver coaching from recorded events
- Dispatch within driving hours
- Maintenance work flagged early
Trade and customs documents
- Invoices mapped to entry data
- Tariff codes suggested for review
- Freight class identified
- Proof of delivery matched to the load
For freight operators
Brokers, 3PLs, forwarders, and carriers get support from quote intake through booking, tracking, and exception handling.
- 01
Put every freight request in one workspace.
Email, PDF, spreadsheet, and portal requests become lanes, volumes, dates, accessorials, and open questions without retyping.
Talk to us about this - 02
Compare a bid with the data you already have.
Rates and capacity come from your TMS, rate engine, and carrier network, with options compared on margin, service, and effort.
Talk to us about this - 03
Draft bids from approved history.
Responses use approved language, past bids, and lane history, while a person reviews price, margin, and commitments.
Talk to us about this - 04
Carry an awarded lane into booking.
Won lanes move into the TMS and CRM without another round of entry, with performance visible by lane and customer.
Talk to us about this
Four operating rules for logistics AI.
- 01
Sort by cost, not by timestamp.
The exception queue reflects the business impact of a delay, not just when the event arrived.
- 02
Let the layer draft, then review.
Next steps and carrier messages are prepared for a coordinator to approve before they leave the system.
- 03
Show the event behind the answer.
Every status response points to the tracking event, document, or record that supports it.
- 04
Repair the feed before the prompt.
We resolve missing and inconsistent logistics data before tuning the AI behavior.
Where this industry usually starts
AI Automation & Agentic AI
Exception triage, document intake, carrier follow-up, and status communication are repeatable but context heavy. We connect the layer to live shipment and rate records, then leave rebooking and other costly actions for review.
AI Experience (AX) Audit
A tracking assistant can answer questions without reducing the queue. We audit the path from event to coordinator action and choose a baseline such as touches per exception or status calls per shipment.
AI Redesign & Rescue
When logistics AI fails, the cause is often stale tracking, inconsistent fields, or a workflow that starts too late. We rebuild the layer around the data and screen where the coordinator already works.
Design for the hours when freight breaks.
A layer that works on a quiet Tuesday but falls behind on the quarter's hardest day is not ready. We map the load shape, then build on the systems already in use.
Freight volume across a quarter
- 1
Quarter and season close
Shippers move volume before the quarter ends, while peak season adds tenders, tracking, and billing work.
- 2
Disruption days
A storm or port delay can turn hundreds of active shipments into exceptions within one hour.
- 3
Pickup cutoffs
Booking and pickup cutoffs pull work into the last hour, when a slow answer can miss the truck.
- ~
Quiet periods
Most hours are quieter, which makes average volume a poor basis for capacity planning.
The layer starts with your logistics stack.
Shipments, tracking events, rates, and documents stay in their existing systems while AI helps people act on them.
Transportation management
Orders, loads, and rates
Warehouse management
Inventory, receiving, and labor
ELD and telematics
GPS, driving hours, and vehicles
EDI feeds
204, 214, and 210 messages
Carrier and LTL APIs
Quotes, pickups, and status
Visibility platforms
FourKites and project44
ERP systems
Billing, customers, and invoices
Customs filing tools
Entry data and classification
The questions that decide it.
Which exception work can the layer handle?
It can check missed pickups, monitor late ETAs, prepare carrier follow-ups, and draft the first response. Costly choices such as rebooking or filing a claim stay with a coordinator.
Can it use our TMS, EDI feeds, and carrier data?
What does a first AI layer cost for a logistics product?
How long does the first production workflow take?
How does it handle stale or incorrect tracking data?
Can a coordinator approve messages before they are sent?
What should we measure after the workflow launches?
Show us the logistics work that piles up.
In one 20 minute call, we will separate the checks an AI layer can take from the decisions that need a coordinator, then suggest a sensible starting point.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.
