AI Built for Freight and Supply Chain
MetaSys builds agentic dispatch, exception handling, route optimization, and supply-chain intelligence for US logistics and transportation operators. Production systems, not dashboards.
Dispatch, exceptions, and route decisions still run on people and spreadsheets.
Logistics operators have invested in TMS platforms, tracking tools, and analytics dashboards. But the decisions that keep freight moving still rely on individual planners working phones, email, and manual exception queues. The bottleneck is not data. It is the loop between data and action.
Dispatch still runs on people and calls
Planners spend half their shift on the phone resolving exceptions that a well-designed agent could classify and close automatically. Speed depends on who is in the office.
Exceptions pile up faster than teams can clear them
Late pickups, carrier failures, customs holds, and missed delivery windows accumulate in inboxes. The backlog grows on peak days exactly when you can afford it least.
Route decisions are made with yesterday's data
Optimization tools show you the best route as of this morning. By the time the driver leaves, traffic patterns, weather, and load changes have already made that route suboptimal.
Visibility stops at the carrier boundary
You can see your own systems clearly. The moment a shipment moves to a carrier or 3PL, tracking becomes manual calls and carrier portals that update on their schedule, not yours.
MetaSys builds the systems that close that loop. See our logistics operations service.
Six logistics AI systems we deploy in production.
Each system is scoped to a specific operational workflow, integrated into your existing TMS and data stack, and deployed with full observability. These are the systems we build most often for freight and supply-chain operators.
Agentic dispatch
An AI agent that handles load assignments, carrier selection, and dispatch decisions autonomously within defined rules. It classifies loads, checks carrier capacity, confirms availability, and logs every decision. Planners review exceptions, not routine assignments.
FTL, LTL, BrokerageException handling
An agent that monitors your TMS for exceptions, classifies root cause, selects a resolution path, notifies the right stakeholder, and updates the record, all without a planner touching it. We have taken clients from 74% manual exception volume to under 26% in production.
Exceptions, Delays, ClaimsRoute optimization
Dynamic routing that re-optimizes as conditions change: traffic, weather, driver hours, and load constraints. Integrates with your TMS and telematics. Pushes updated routes to drivers in real time, not once at the start of the day.
Dynamic routing, Last mileReal-time tracking and alerts
A unified tracking layer across carriers, 3PLs, and telematics platforms. Normalizes data from disparate APIs into a single feed. Triggers alerts on ETA deviation, geofence breach, or carrier status change before your customer calls you about it.
Visibility, ETA, AlertsSupply-chain intelligence
Demand forecasting, carrier performance scoring, lane profitability, and anomaly detection across your supply chain. Surfaces the insights that live buried in your TMS data: which lanes are degrading, which carriers are drifting on SLA, where capacity is at risk.
Forecasting, AnalyticsCarrier and 3PL integration
Automated EDI and API connections to your carrier network. Tender, track, and receive status updates without manual portal checks. Handles 204, 214, and 990 transactions and maps carrier-specific formats to your internal schema.
EDI, API, 3PL connectivityNot sure which system fits your workflow? Book a scoping call and we will map the right architecture to your operations.
74% reduction in manual exceptions with agentic dispatch
A US freight operator was clearing over 400 manual exceptions per day through a planning team. Late pickups, carrier no-shows, and customs holds all routed to the same inbox. MetaSys built an agentic dispatch system that classified each exception, selected a resolution path, notified the relevant stakeholder, and updated the TMS record without planner involvement. Within 90 days of go-live, manual exception volume dropped from 74% to under 26% of total exceptions. Planner capacity shifted from exception clearing to load optimization and carrier relationship management.
Read the full case studyWhat makes our logistics AI different.
Built for logistics workflows, not generic AI
We have built dispatch agents, TMS integrations, and exception-handling systems in production. We know where the edge cases are before you describe them.
Deep TMS and ERP integration
We integrate with McLeod, TMW, MercuryGate, SAP, Oracle, and NetSuite. We handle auth rotation, schema drift, and rate limits as part of the build.
Evaluation wired in from day one
Every agent ships with accuracy, latency, and drift tracking. You can see how the system is performing before it touches a live load.
US time-zone delivery
MetaSys is headquartered in Missouri. Every US engagement runs in your business hours with a delivery lead you can reach when something needs attention.
"MetaSys did not just build what we described. They asked the right questions up front, spotted three edge cases we had missed, and shipped a system that actually runs in production. The accuracy held up on real data from day one."
Zika
GMetrics, Germany
MetaSys is headquartered in Missouri with offices in the UK and Pakistan. Every US logistics engagement runs in your time zone with a dedicated delivery lead available during your business hours. Our practices are SOC 2-aligned and we build with CCPA-awareness for any system that handles personal or shipment data. We have been building production AI systems since 2019, with 76+ deployments across freight, supply chain, and related operations.
Logistics AI development: what operators ask before starting.
Can your AI systems integrate with our existing TMS or ERP?
Yes. We integrate with the major TMS platforms including McLeod, TMW, MercuryGate, and Samsara, and ERP systems including SAP, Oracle, and NetSuite, via their APIs or direct database connectors. We handle auth token rotation, schema drift, and rate limits as part of the build, not as an afterthought.
How long does it take to deploy a logistics AI system?
Most clients have their first production system live within 2 weeks of starting the build phase. A full agentic dispatch or exception-handling platform with deep TMS integration typically takes 6 to 10 weeks end to end. We confirm a timeline after a scoping call.
What does a logistics AI engagement cost?
Scoped engagements start from $25,000 for a single-agent production deployment such as an exception-handling agent. Full agentic dispatch or supply-chain intelligence platforms are priced based on the number of integrations, data volume, and ongoing managed-operations scope. We provide a fixed-fee proposal after scoping.
How accurate are your dispatch and exception systems in production?
Across our deployed logistics agents we maintain 94%+ average decision accuracy. We wire evaluation in from the first build, not as a post-launch exercise, and every system ships with accuracy, latency, and drift monitoring from day one.
Do we own the IP and the code you build?
Yes. The code, models, pipelines, and infrastructure are yours. We do not retain any rights to the systems we build for you, and there is no vendor lock-in.
Have a question we have not answered? Ask our team directly.
Ready to automate your dispatch and exceptions?
Bring your current exception volume and TMS setup to a scoping call. Walk away with an architecture sketch and a clear path to your first production system.
30-minute call, no commitment. Most clients hear back within one business day.