AI for Logistics
AI that clears the paperwork so freight keeps moving.
Fewer exceptions. Faster answers.
We build production AI for 3PLs, carriers, and shippers, from bill of lading and customs document processing to exception handling and customer updates, connected to the systems you already run.
Trusted by enterprise operators
Why logistics is different
Logistics margins are thin. Manual work makes them thinner.
Every shipment generates documents, emails, and status questions. Teams spend their day keying data and chasing updates, and the work grows faster than you can hire.
Where value is created
In documents, exceptions, and customer communication: BOLs, invoices, customs forms, and status requests.
How it gets measured
Cost per shipment, exception resolution time, invoice accuracy, and shipments per coordinator.
What earns adoption
Tools that plug into your TMS and WMS and remove steps for coordinators on day one.
From strategy to production
AI built for freight, warehouses, and the desks behind them.
Start with one high-volume workflow or a network-wide AI program.
AI Strategy & Readiness
Find where AI cuts cost per shipment, and plan the rollout.
- Operations and back-office AI assessment
- Use cases ranked by cost per shipment
- Data readiness across TMS, WMS, and ERP
- AI governance and security policies
- Training for coordinators and dispatchers
- Executive-ready AI roadmaps
Production AI Engineering
Engineers who build AI into your TMS, WMS, and customer channels.
- BOL, invoice, and customs document extraction
- Shipment exception triage and alerts
- Customer status and support agents
- Carrier and rate email processing
- Invoice audit and freight bill matching
- TMS, WMS, and ERP integrations
Measurable outcomes, not theories
Results measured per shipment.
Client result · Customer support
$0.02
Cost per conversation for an AI support agent serving 50,000+ customers monthly
PressW built an AI agent that handles scheduling, troubleshooting, and account questions for a fiber provider, cutting the need for human agents by more than 41%.
More client outcomes
10,000+
Documents processed monthly through an AI-powered intake system
500
Estimated hours saved per day by a production document extraction engine
80%
Reduction in document processing time for a national insurance operation
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where logistics AI stalls
Most logistics AI projects stall in the same four places.
The fix: start where documents and emails pile up, and connect AI to the systems your team already uses.
Documents in every format
Scans, PDFs, and emails from hundreds of partners break rigid automation.
Disconnected systems
TMS, WMS, and accounting data rarely line up.
Exception overload
Teams spend the day firefighting instead of improving operations.
Thin teams
Coordinators have no time to learn tools that don't save time immediately.
How it works
From first workflow to network-wide AI in three steps.
Start with your highest-volume document or email workflow.
- 01
Assess
Map document, exception, and customer workflows and score them by volume and cost.
Explore AI Transformation - 02
Build
Ship a production system connected to your TMS or WMS, with people reviewing exceptions.
Explore AI Engineering - 03
Scale and manage
Extend to more lanes, sites, and customers and keep accuracy and cost monitored.
Explore Managed AI
FAQ
Questions logistics teams ask us.
Don't see your question? Bring it to an intro call.
Keep freight moving with less manual work.
From strategy to production AI: one partner for logistics operations.