Routing optimization
Multi-constraint route and load planning that adapts as conditions change.
Industry
AI for Logistics & Supply Chain
Cut cost-to-serve and improve OTIF with agents that plan, monitor, and escalate across the chain.
- 95%exception resolution without escalation
- 20%transport cost reduction on optimized lanes
- Real-timevisibility across carriers and tiers
Capabilities
AI for goods in motion
Routing, fleet operations and real-time visibility AI for logistics leaders.
Fleet ops agents
Dispatch support, driver communications and compliance workflows automated.
Real-time visibility
Shipment tracking unified across carriers, modes and tiers — with predictive ETAs.
Exception management
Delays, damages and documentation issues resolved by agents before they cascade.
How we deliver in logistics
The exception desk that never sleeps
Logistics margins die in exceptions and empty miles. We automate the response to both.
Exceptions
Problems resolved while they're still small
A delayed shipment triggers an agent that checks alternatives, notifies affected parties, rebooks where policy allows and escalates only genuine judgment calls — before the customer notices.
- Automated detection across carrier and mode feeds
- Resolution playbooks executed with approvals
- Customer notifications that preempt the angry call
Invoice exception workflowRunning
✓Extract invoice fields1.1s
✓Match against PO0.6s
Resolve mismatch with agentrunning
·Post to ERPqueued
Visibility
One truth across carriers and tiers
Feeds from carriers, forwarders, telematics and ports fused into a single view with predictive ETAs — and a copilot your team can ask, in plain language.
- Multi-source tracking fusion with dedup
- Predictive ETAs that beat carrier estimates
- Plain-language shipment Q&A for ops and customers
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Documents
Freight paper processed at freight speed
BOLs, PODs, customs docs and invoices extracted, validated and matched automatically — detention disputes and billing errors caught with evidence attached.
- Document extraction across formats and languages
- Three-way match on rates, invoices and contracts
- Dispute packages assembled with proof
Ingest→
Chunk→
Embed→
Index→
Retrieve
PDFConfluenceSharePointSQLTicketsEmail
Grounded answer…with citations [1] [2] and permissions applied
Use cases
Where logistics leaders deploy AI with us
Shipment exception handling
Delays and disruptions resolved automatically at scale.
Freight audit and pay
Invoice validation against contracts and actual service.
Route and load optimization
Plans that adapt to real-time conditions.
Customer service automation
Where-is-my-shipment answered with live truth.
Customs and trade docs
Classification and documentation accelerated with checks.
Carrier management
Performance scorecards and allocation intelligence.
Delivery
Industry-first delivery
Every engagement is grounded in your domain — regulations, operating models, and the use cases that actually move the needle.
- Domain-ready use cases
- Compliance-aware design
- Ops & CX impact
- Reusable industry playbooks
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1
Map the domain
Identify high-ROI workflows and risk boundaries.
-
2
Prioritize use cases
Score impact, feasibility and data readiness.
-
3
Pilot with guardrails
Ship a controlled production pilot fast.
-
4
Scale across ops
Expand to adjacent processes with shared platforms.
Ninety-plus percent of tracking exceptions now close without a human touching them. Our ops team finally works the problems that need people.
Works with your stack
Integrates your logistics stack
TMS, WMS, telematics and carrier networks unified through resilient, event-driven integration.
- SAP TM
- Oracle OTM
- Blue Yonder
- project44
- FourKites
- Samsara
- Kafka
- Snowflake
- AWS
- Anthropic Claude
- OpenAI
- Kubernetes
FAQ
Common questions
Our data lives across dozens of carriers and systems. Feasible?
That fragmentation is the normal starting point. Event-driven integration absorbs heterogeneous feeds — APIs, EDI, emails, spreadsheets — into one operating picture.
How much exception handling can actually be automated?
Typically 70–95% of routine exceptions (tracking gaps, minor delays, documentation mismatches) close automatically; the rest reach humans with analysis attached. We baseline your mix during discovery.
Does this replace our TMS?
No — it makes your TMS work harder. Planning stays where it is; AI adds the sensing, exception response and document automation your TMS doesn't do.
What ROI timeline should we expect?
Freight audit and exception automation typically pay back within two quarters; visibility and optimization gains compound after.
Next step
Move freight, not paperwork
Show us your exception queue — we'll show you how much of it disappears.