Document intelligence
OCR plus generative validation for bills of lading, customs forms, and invoices, integrated with TMS and WMS.
Logistics
Network clarity under exception load.
Document intelligence, exception-handling agents, and network optimization support for operators who cannot afford document delays or blind spots in the control tower.
How we engage
Exception handling from document to resolution
Logistics exceptions cascade, AI must connect paperwork, tracking, and carrier communication in one governed workflow.
01
Document capture and validation
Extract BOL, customs, and POD fields; flag discrepancies against shipment records for operator review.
02
Exception classification
Agents categorize delay, damage, and routing exceptions and attach relevant shipment context.
03
Resolution playbook execution
Draft carrier communications, reroute proposals, and customer updates from approved templates.
04
Human approval and close-out
Operators approve high-impact changes; every action logged for customer and audit reconstruction.
Capabilities
Logistics AI plays
Exception-handling agents
Multi-agent workflows that investigate delays, propose reroutes, and coordinate stakeholder updates.
Control tower copilots
Generative summaries across in-transit inventory, carrier performance, and disruption signals.
Forecasting and capacity models
Demand and lane forecasting with planner override, not autonomous network reconfiguration.
Dual view
Documents vs. dynamic network decisions
Document-heavy workflows
High-volume extraction with human verification on low-confidence fields
Cross-reference against TMS shipment records
Audit-ready document trails for customs and customer disputes
Network and exception workflows
- Real-time exception triage with carrier and customer context
- Playbook-driven agent recommendations for reroute and communication
- Planner approval on capacity and cost-impacting changes
- Integration with control tower dashboards, not standalone bots
Perspective
Why logistics AI must respect the exception
Standard shipments run on rules. Margin and customer satisfaction are won or lost on exceptions, customs holds, weather diversions, capacity crunches. Generic automation that cannot read a bill of lading or draft a carrier escalation leaves operators stitching systems manually.
InheritX targets the exception layer: document intelligence that feeds validated data into your TMS, and agents that execute playbooks with human approval on anything that changes cost, SLA, or compliance posture.
Validated
Document fields verified against TMS
Playbook-bound
Agents follow approved exception flows
Integrated
TMS, WMS, and carrier API connections
Accountable
Operator approval on high-impact actions
Fit
Logistics need → approach
Document turnaround delays customs clearance
Document intelligence with confidence scoring and operator verification queues
Control tower lacks actionable exception context
Agents that assemble shipment, carrier, and customer history in one view
Disruption storms overwhelm coordinators
Playbook automation with templated communications and planner escalation
Forecasting ignores ground truth from operations
Models fed by TMS and WMS data with planner override workflows
Continue
Related solutions
FAQ
Logistics FAQ
We combine OCR with validation against TMS records and route low-confidence extractions to operator review, never silent acceptance of bad data.
Agents propose reroutes and draft communications from approved playbooks. Planners approve changes that affect cost, SLA, or contractual obligations.
Via approved APIs and event streams. Tool access is scoped, agents read and draft within permissions you define, with full action logging.
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.