Logistics AI
AI Agents for Dispatch, Hours of Service, and Customs Paperwork
A logistics AI agent is software that matches loads to carriers, checks driver hours of service against FMCSA limits, or assembles customs entry paperwork for a cross-border shipment, working inside a transportation management system or warehouse management system without overriding a dispatcher's final call on driver assignments.
01Hours of service and customs data carry legal weight
FMCSA hours of service rules cap how long a driver can be on duty, and violations show up on a carrier's safety rating. Any dispatch agent we build reads the electronic logging device data first and will not suggest an assignment that puts a driver over the limit. It flags the constraint; the dispatcher makes the final call.
Customs entries filed with CBP require accurate harmonized tariff codes and country-of-origin data. An agent can assemble the paperwork and check for missing fields, but a licensed customs broker reviews and files the entry, since errors carry penalties that fall on the filer of record.
02Workflows we build most often
Load and carrier matching
Available loads in the TMS are matched to carriers with capacity and compliant hours of service, ranked for the dispatcher to choose from.
Hours of service monitoring
ELD data is checked continuously against FMCSA limits, with alerts before a driver approaches a violation.
Customs document assembly
Commercial invoices, packing lists, and tariff classifications are compiled into a draft entry packet for a customs broker to review and file.
Warehouse pick and pack exception handling
Inventory discrepancies flagged in the WMS during pick and pack are routed to a supervisor with the likely cause attached.
03How a logistics engagement runs
- Step 01
System and data audit
We map data flow across the TMS, WMS, and ELD provider to find where dispatchers currently do manual lookups.
- Step 02
Pilot on one lane or workflow
We start with load matching on a single lane or customs prep for one trade corridor.
- Step 03
Dispatcher and broker review cycle
Dispatchers and customs brokers test agent output against real loads and entries for two to three weeks.
- Step 04
TMS and WMS integration
The agent reads and writes inside your existing systems rather than a parallel spreadsheet.
- Step 05
Rollout with compliance alerts
Hours of service and customs flags surface automatically rather than requiring a manual check each time.
04Logistics engagement specifics
| Spec | Detail |
|---|---|
| Typical entry point | Load matching automation or customs document assembly for one corridor |
| Typical timeline | 5 to 9 weeks per workflow |
| Integration surface | TMS platforms, WMS platforms, ELD providers, CBP-facing customs brokerage software |
| Data sensitivity | Moderate. Driver location and shipment value data need access controls |
| Human review requirement | A dispatcher approves driver assignments; a licensed customs broker files entries |
| What does not work well | Automated driver assignment overriding hours of service flags, or unreviewed customs filing |
05What we will not automate
We do not let an agent assign a driver who would exceed FMCSA hours of service limits, and we do not auto-file customs entries. Safety ratings and carrier liability depend on hours of service compliance, and customs penalties fall on the filer of record. Our agents flag and draft. Dispatchers and brokers decide.
Start with one lane or corridor
Call (720) 330-5721 to scope load matching or customs prep for a defined trade lane.
FAQQuestions
Common questions
Can the agent assign a driver automatically?
No. It ranks compliant options and flags hours of service risk. The dispatcher makes the final assignment.
Does the agent file customs entries?
No. It assembles the paperwork. A licensed customs broker reviews and files it.
Which TMS platforms do you integrate with?
Most projects work with McLeod, Samsara-connected TMS setups, or similar platforms already in use.
How does hours of service monitoring work?
The agent reads ELD data continuously and flags a driver before they approach an FMCSA limit.
Last reviewed 2026-08-16
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Use cases
- Automated Invoice Processing for Accounts Payable
Invoice processing is the sequence of receiving a vendor bill, verifying it against a purchase order, and posting it to the accounting system for payment. Automating this workflow removes the manual data entry step and routes exceptions to a human only when something genuinely does not match.
- Dispatch and Scheduling
Dispatch and scheduling automation is a multi-step workflow that assigns incoming service jobs to the right technician based on location, skill, and availability, then adjusts the schedule automatically when jobs run long or get cancelled, reducing the manual phone-based reshuffling a dispatcher does when the day's plan changes.
- Order Processing
Order processing automation is an integration that takes a completed sale from a storefront or payment processor and automatically creates the matching records in accounting and fulfillment systems, without a staff member re-entering line items by hand, keeping invoices and warehouse orders accurate during high order volume spikes.
Solutions
- Agentic Workflow Automation
Agentic workflow automation chains several AI steps and system calls into one reliable process. A workflow reads an input, routes it, calls the tools it needs, pauses for human approval where required, and records every step. Lingows AI designs, builds, and operates these workflows in production.
- AI Integration
AI integration connects a language model to the systems a business already runs. Lingows AI builds typed tool layers, middleware, and MCP servers so models can read and write in a CRM, an ERP, or an internal API safely, with authentication, validation, and audit logging on every call.
Scope an AI build for ai implementation for trucking companies and freight brokers
Bring one workflow, its volume, and the systems of record behind it. Lingows AI will tell you what automates cleanly and what should stay with a person.