Your dispatchers already spot the pattern by instinct. We built the agent that acts on it.
Proof-of-delivery, exception handling, settlement reconciliation: the workflows your team runs by hand every day are exactly what AI agents in production can take end to end, on the TMS and dispatch tools you already use.
Four capabilities, one for each stage of the shipment lifecycle
Each of these is a starting point in the readiness assessment below: the workflow you pick there is the one an agent gets built around.
Dispatch & Routing
Route & Dispatch Optimization
Acts on live conditions to re-route or re-sequence, not just surface a recommendation for a dispatcher to approve.
Delay & Customer Updates
Delay Prediction & Customer Updates
Flags at-risk shipments early and sends the customer update before they have to ask.
POD & Delivery Verification
Document Intelligence & Delivery Verification
Reads proof-of-delivery, bills of lading, and receipts, then cross-checks the claim against route and timestamp data before it's accepted.
Settlement & Billing
Settlement & Invoice Reconciliation
Matches POs, receipts, and invoices automatically and routes only genuine variances for human sign-off.
A TMS upgrade modernizes the system. This is the layer that acts on top of it.
| Point Automation Tool | TMS / Dispatch Vendor | Innovature | |
|---|---|---|---|
| Modernizes your system of record | — | ✓ | ✓ |
| Reads documents & data automatically | ✓ | — | ✓ |
| Makes exception decisions, not just flags them | — | — | ✓ |
| Takes action without a manual step | — | — | ✓ |
| Works on your existing TMS & dispatch tools | ✓ | is the TMS | ✓ |
| One team, TMS to production agent | — | — | ✓ |
Not every logistics problem is an agent problem
If what you actually need is upstream of agents (cleaner data, a cloud migration, a custom app), these are the practices for that.
We don’t have a logistics case study yet: here’s the nearest real work
None are logistics. Each shows automation acting inside a real system of record (ERP, workflow engine, customer ops), the same shape of proof a logistics build would need. Swap this card out the moment a real logistics result exists.
Accelerating Workflow Migration with a BPMN-to-Conductor Converter
Custom ERP System to Streamline Operations for a Global Power & Utility Company
Transforming Customer Service Operations for a Global Electric Company
Ready to see where your logistics ops stand?
Take the 90-second readiness assessment for a quantified score on the workflow you're evaluating, or book a 30-minute Opportunity Review directly: either way, you leave with a specific next step, not a generic pitch.
Questions we get before a first call
AI in logistics is software that reads documents, flags problems early and acts inside shipping operations. For US carriers, brokers and 3PLs, common uses include checking proof of delivery, predicting delays and updating customers, supporting dispatch and routing decisions, and matching invoices to shipments. It usually sits on top of the transportation management system (TMS) you already run.
Yes. The same four workflows apply, but where the friction shows up often differs. Carriers commonly feel it in dispatch, tracking, proof of delivery and detention. Brokers, in carrier vetting, carrier tracking, rate confirmations and fraud checks. 3PLs, in switching between customer systems, reporting, paperwork and multi-tier billing. The readiness assessment lets you pick the workflow you are evaluating.
The most common starting points are document intelligence & delivery verification (POD, BOL, and fraud checks in one pipeline), delay prediction and customer updates, route and dispatch optimization, and settlement or invoice reconciliation.
It helps but isn't required. What matters more is whether the workflow's data is reachable (centralized and API-accessible), rather than scattered across paper PODs and texted photos. The readiness assessment scores exactly this.
Take the AI Readiness Assessment for Logistics below: it scores your process, data, ownership, and governance readiness for the specific workflow you're evaluating and flags the one gap most likely to stall a build.
Yes, a TMS upgrade, or new TMS software built for carriers, modernizes the system of record. This is the agent layer on top of it: supply chain AI applied specifically to freight and dispatch, not a broader warehouse or procurement platform: software that reads documents, flags exceptions, and takes action inside the systems you already run.
No. It's built to sit on top of the TMS you already run (McLeod, Rose Rocket, Turvo, Tailwind, or similar), not replace it. No re-platform, no migration, no new system for dispatch to learn.
A dispatcher catches exceptions by instinct, one load at a time. The agent runs the same pattern-matching continuously across every load, flags what genuinely needs a human, and never misses a 2am exception because a shift ended.
