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Logistics AI Development

AI for Logistics Companies: Dispatch and Freight AI

Agentic dispatch, exception handling, and route optimization for US freight and supply-chain operators. Production systems from $25,000, not dashboards.

In production: 74% fewer manual exceptions and 94.3% decision accuracy for a US freight operator.

74% fewer manual exceptions94%+ accuracyFrom $25,000

Owner-operator or carrier looking for a dispatcher? See truck dispatch services.

Get a fixed-fee estimate

Tell us your TMS and where the manual work piles up. An engineer replies within one business day.

Our team will review your request and follow up by email.

Fleet of US semi-trucks parked in a row at a logistics distribution hub
Logistics AI in production

Planners review exceptions. The agent handles the routine.

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The operations problem

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. Not ready to build AI dispatch in-house yet? Truck Dispatch Services covers the same load-matching and rate-negotiation ground with a human team.

What we build

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, Brokerage

Exception 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. In production, our exception-handling agent cut manual exception volume by 74%.

Exceptions, Delays, Claims

Route 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 mile

Real-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, Alerts

Supply-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, Analytics

Carrier 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 connectivity

Not 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 (agentic dispatch, production)
94%+Average agent decision accuracy across deployed systems
76+Production AI deployments
From $25KFixed-fee single-agent production builds
Case study

74% reduction in manual exceptions with agentic dispatch

A US freight operator was handling thousands of daily dispatch exceptions by hand. Missed pickups, address mismatches, capacity conflicts, and carrier failures all landed in the same queue. MetaSys built an agentic dispatch system that classifies each exception, resolves it through connected systems or routes the genuine edge cases to a human with full context attached. Manual exception volume fell 74%, saving 19.2k hours a month at 94.3% decision accuracy, and the dispatch team now spends its time on the cases that need judgment.

Read the full case study
Why MetaSys

What 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-headquartered delivery

MetaSys is headquartered in Fulshear, Texas. Every engagement has a named delivery lead and 4 to 6 hours of working overlap with US time zones.

"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."
Z

Zika

GMetrics, Germany

US-headquartered, logistics-focused

MetaSys is headquartered in Fulshear, Texas with offices in the UK and Pakistan. Every logistics engagement has a dedicated delivery lead and 4 to 6 hours of working overlap with US time zones. Our practices are SOC 2-aligned and we build with CCPA-awareness for any system that handles personal or shipment data. MetaSys has shipped 76+ production AI deployments, and you own the code, models, and infrastructure we build.

Common questions

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.

Start the conversation

Ready to automate your dispatch and exceptions?

Tell us your exception volume and TMS setup. After a scoping call you get an architecture sketch and a fixed-fee proposal within 3 to 5 business days.

  • Single-agent production builds from $25,000
  • First production system within 2 weeks of starting the build
  • You own the code, models, and infrastructure

30-minute call, no commitment. Most clients hear back within one business day.

Get a fixed-fee estimate

An engineer who has shipped dispatch agents replies within one business day.

Our team will review your request and follow up by email.