Freight document and order fabric
BOLs, manifests, commercial invoices, packing lists, PODs, carrier invoices, purchase orders, customer instructions, and EDI messages.
Transportation & Logistics Agentic OS Control Plane
Turn freight objectives into governed agent execution
VDF.AI sits above the logistics systems you already run and coordinates specialized agents for freight documents, customs, exceptions, track-and-trace, fleet maintenance, network analysis, supplier risk, and procure-to-pay. No system migration. No shipment-data egress. Every action traceable to source.
8Freight, trade, service, fleet and supply-chain workflows
0TMS, WMS, ERP or customs migrations required
100%On-premise, private-cloud, sovereign-cloud or air-gapped execution
EveryDocument, classification, exception, update and approval logged
Built for supply-chain control
EU AI Act GDPR NIS2 AEO / C-TPAT IATA / IMO ISO 27001 Human-in-the-loop
Logistics control plane
Operational signals in. Control tower intelligence. Execution out.
Freight documents, TMS, WMS, ERP, customs, visibility, telematics, fleet, procurement, rate, and customer systems stay where they are. VDF.AI reads the operating context, selects the right agents and tools, applies compliance and approval boundaries, and returns execution evidence.
Live governed execution
Transportation & Logistics Agentic OS Control Plane
VDF.AI · logistics · model agnostic · sovereign cloud · any LLM · any stack
01 Signals in 02 Control tower 03 Agents & tools 04 Execution out
Signals in
TMS, WMS and visibility fabric
Shipments, status events, milestones, warehouse tasks, appointments, dock schedules, EDI statuses, carrier updates, and exception codes.
Customs and trade fabric
HS codes, tariff references, origin rules, sanctions checks, brokerage systems, declarations, permits, AEO/C-TPAT controls, and regulatory guidance.
Fleet, maintenance and asset fabric
Telematics, fault codes, maintenance history, parts data, driver notes, work orders, vehicle documents, and service procedures.
Network, rate and risk fabric
Lane performance, carrier rates, capacity signals, supplier risk, delivery performance, fuel cost, inventory exposure, and customer commitments.
Logistics objective intake
Set the target: reduce document handling time, clear customs holds faster, prioritize exceptions, answer track-and-trace queries, lower downtime, or improve lane margin.
Policy, compliance and autonomy gates
Apply customer data rules, customs sign-off, NIS2/GDPR controls, role permissions, customer-communication approvals, model routing, and exception thresholds before execution.
Freight objective to execution plan
The platform ranks actions by shipment impact, customer commitment, customs risk, revenue exposure, SLA, evidence completeness, exception severity, and required human approval.
Document and customs pod
Extract freight data, validate fields, compare shipment documents, support tariff classification, draft declarations, and preserve traceability.
Control tower exception pod
Detect delays, holds, missing documents, capacity issues, and SLA risk, then rank impact and suggest playbook-backed actions.
Customer and track-and-trace pod
Answer shipment status, surface documents, summarize exceptions, and draft proactive customer updates with approval controls.
Fleet, network and supplier pod
Surface maintenance knowledge, summarize rate and lane performance, monitor supplier risk, and brief planners with cited evidence.
Sovereign execution fabric
Runs on-premise, in private cloud, sovereign cloud, or air-gapped environments with approved models, local embeddings, and governed tool access.
Audit ledger and supply-chain memory
Stores objective, source, extraction, classification, model route, approval, output, disposition, and reusable lessons from exceptions and trade decisions.
Execution out
Documents processed
Fields extracted, discrepancies flagged, structured outputs prepared, and evidence retained.
Customs cleared
Declarations drafted, completeness checked, classifications supported, and sign-off trail preserved.
Exceptions resolved
Delays, holds, and missing documents prioritized with suggested next actions and customer context.
Customers updated
Status answers and proactive updates drafted from shipment truth with approval controls.
Fleet uptime improved
Maintenance procedures, parts context, fault history, and likely causes surfaced to fleet teams.
Margins protected
Lane, carrier, supplier, capacity, and rate signals summarized for planning and pricing teams.
How transportation and logistics operations transform
From service, margin, or compliance goal to governed execution
VDF.AI starts with measurable operating objectives, then activates the agents and tools needed to complete the work with policy, evidence, and approval controls intact.
Your logistics stack stays. The control plane sits above it.
Connect TMS, WMS, ERP, customs, EDI, visibility, telematics, fleet, CRM, BI, procurement, and document systems without migrating shipment or customer data.
Zero rip-and-replaceState the logistics objective. The platform builds the plan.
Reduce BOL processing time, clear customs holds faster, prioritize disruptions, answer status queries, reduce downtime, improve lane margin, or monitor supplier risk continuously.
Objective-first executionAgents and tools activate inside defined authority.
Document, customs, exception, service, fleet, planning, and risk agents call only approved tools with customer, trade, approval, role, and model-route policies enforced.
Staged autonomy by workflowEvery output returns with evidence and learning.
The platform records sources, extractions, classifications, tool calls, model routes, approvals, generated outputs, and outcomes while retaining reusable disruption and trade knowledge.
Auditable at execution The Transportation & Logistics Challenge
Logistics teams do not need more disconnected automations. They need an operating layer.
Freight work spans documents, exceptions, customs, carriers, warehouses, customers, suppliers, and commercial decisions. The value is coordinated execution across the network while preserving control and traceability.
01
Fragmented Shipment Context
TMS, WMS, ERP, carrier portals, visibility tools, customs systems, EDI, telematics, and document stores each hold part of the answer. Teams reconcile the truth manually.
02
Trade and Customer Data Exposure
Shipment records, rates, contracts, commercial terms, and customs documents are sensitive. AI must run inside your perimeter and preserve customer-specific access controls.
03
Exception Load
Delays, customs holds, missing documents, appointment issues, carrier failures, and inventory mismatches keep control towers in constant firefighting mode.
04
Evidence After the Fact
Customs, claims, customer disputes, service reviews, and audits need the full trail: source documents, classification rationale, decisions, approvals, and communications.
The VDF AI Solution
A logistics control plane that governs agents by workflow, customer, lane, risk, and objective
No migration
Keep TMS, WMS, ERP, customs, visibility, telematics, and fleet systems in place
The agentic layer connects what already works.
VDF.AI connects to operational systems, documents, carrier data, customs references, procurement, customer service, fleet, and analytics platforms through governed tools. Data stays inside your logistics environment; agents receive only the scoped access needed for the objective.
Replacing core logistics platforms is a multi-year project. A governed control plane starts with one workflow and expands across the freight operating model.
0
System Replacements Required
Control plane above existing logistics systems
TMSWMSCustomsFleet
Objective engine
Start with the freight outcome, not a disconnected automation task
The plan is ranked by service, margin, compliance, risk, and evidence.
Examples of objective-first logistics execution:
- Documents: reduce BOL, invoice, manifest, and POD handling time while preserving source traceability
- Customs: clear holds faster with cited classification support and human sign-off
- Exceptions: rank delays, missing documents, appointment misses, and carrier issues by impact
- Customer service: answer track-and-trace and documentation questions from shipment truth
- Network and fleet: synthesize rate, lane, supplier, maintenance, and capacity signals for human decisions
Goal
To Execution Plan
Service · margin · customs · resilience
Ranked actionsPolicy checksEvidence path
Staged autonomy
Autonomy is governed by workflow, customer, and compliance risk
Each logistics process gets the boundary it deserves.
VDF.AI lets operations, customs, customer service, fleet, procurement, and planning leaders define autonomy at the process level:
- Assistive: customs classification, pricing, supplier risk, and network decisions stay with named reviewers
- Delegated: document extraction, status summarization, exception assembly, and report drafting can execute under policy
- Autonomous: low-risk status answers, missing-document reminders, internal routing, and approved updates can run within thresholds
- Escalated: high-value shipments, customs ambiguity, customer-impacting exceptions, compliance risk, and margin exposure route to accountable humans
- Measured: each workflow reports cycle time, exception resolution, document quality, approval status, service impact, and audit evidence
HITL
By Workflow Type
Assistive · delegated · autonomous
ApprovalsThresholdsEscalations
Where it pays back
Transportation and logistics workflows ready for governed agents
VDF AI Agents & Tools
Improve logistics workflows with agent-tool networks
Each workflow combines a defined logistics agent pattern with the tools needed to read documents, retrieve shipment context, validate outputs, generate records, request approvals, and preserve the audit trail.
Delegated extraction
Freight Document Processing Network
Reads BOLs, manifests, invoices, packing lists, and PODs, then normalizes fields and flags discrepancies.
OCRRAGAudit
Explore workflow
Compliance sign-off Customs & Trade Compliance Network
Supports tariff classification, checks completeness, drafts declarations, and preserves source-backed reasoning.
CitationsDocsPDF
Explore workflow
Control tower approved Exception & Disruption Network
Ranks delays, holds, missing documents, and capacity problems by shipment, customer, and margin impact.
CSVAnomalyEmail
Explore workflow
Customer-safe answers Track-and-Trace Service Network
Answers status and documentation queries from TMS, WMS, visibility, and document sources with citations.
RAGEmailQuality
Explore workflow
Role-scoped knowledge Fleet & Maintenance Knowledge Network
Surfaces maintenance procedures, parts context, fault history, and likely causes for fleet teams.
RAGOCRSources
Explore workflow
Planner controlled Network & Rate Analysis Network
Summarizes lane performance, carrier rates, capacity, contracts, and pricing context for human decisions.
CSVSheetsRAG
Explore workflow
Continuous monitoring Supplier Risk Monitoring Network
Scans supplier risk across market, compliance, ESG, delivery, and quality signals with cited alerts.
WebSentimentCSV
Explore workflow
Approval routed Purchase Order Automation Network
Validates requisitions, drafts POs, checks policy and budget, and routes approvals with context.
RAGDocsEmail
Explore workflow
Under the hood
Technical specifications for logistics agent execution
| Requirement | VDF AI Capability |
|---|---|
| Deployment model | On-premise, private cloud, sovereign cloud, disconnected site, or fully air-gapped deployment options |
| Data sovereignty | Models, embeddings, prompts, retrieval indexes, shipment data, trade documents, customer records, rate data, tool calls, logs, and outputs remain inside your perimeter |
| System posture | Overlay architecture above TMS, WMS, ERP, customs brokerage, EDI, visibility, telematics, fleet, CRM, BI, procurement, and document systems |
| Document understanding | Extraction and validation for BOLs, manifests, commercial invoices, packing lists, PODs, carrier invoices, customs forms, and mixed-format attachments |
| Private RAG | SOPs, customer rules, tariff schedules, contracts, carrier guides, lane notes, maintenance manuals, exception playbooks, and prior decisions stay in governed vector indexes |
| Role-based access | Agents, tools, knowledge, and outputs scoped by operations, customs, customer service, fleet, procurement, planning, customer account, lane, and region |
| Model routing | Policy-aware routing by data class, workflow risk, document complexity, confidence need, latency, cost, and approved model inventory |
| Autonomy controls | Assistive, delegated, autonomous, and escalated modes configured by shipment value, customer, document type, customs risk, exception severity, and approval policy |
| Audit logs | Immutable logs for objective, source data, extraction, retrieval, tool calls, model route, policy checks, approval, output, and disposition |
| Integration examples | TMS, WMS, ERP, customs systems, EDI/iPaaS, visibility platforms, carrier portals, CRM, CMMS, telematics, procurement, rate systems, data warehouse, and document stores |
| Encryption | At-rest and in-transit encryption, customer-managed keys, and deployment-specific key separation |
| Operations | High-availability clustering, backup and restore, offline update packages, health monitoring, SIEM export, and long-term evidence retention |
Outcome Snapshot
What changes after rollout
Minutes
To extract, validate, and route freight documents with source evidence
Fewer
Manual handoffs across operations, customs, service, fleet, and planning teams
Trace
Every source, field, classification, exception, model route, approval, and customer update
Lift
Service reliability and margin visibility from reusable exception and rate intelligence
FAQ
Questions logistics teams ask
Does VDF.AI replace our TMS, WMS, ERP, customs, visibility, or fleet systems?
No. VDF.AI sits above TMS, WMS, ERP, customs brokerage, EDI, carrier portals, visibility platforms, telematics, fleet maintenance, CRM, BI, and document systems as an agentic control plane. Your operational systems stay the systems of record. VDF.AI coordinates agents and tools across them under your access, compliance, and audit policies.
Can VDF.AI process freight documents on-premise?
Yes. Agents can read bills of lading, manifests, commercial invoices, packing lists, PODs, customs declarations, carrier invoices, and exception documents inside your environment. They extract fields, normalize data, flag discrepancies, draft declarations or customer updates, and keep the full source trail.
How does VDF.AI help with exception and disruption management?
Agents correlate delays, holds, missing documents, capacity issues, telematics events, inventory constraints, supplier signals, and customer commitments across systems. The control plane ranks exceptions by impact, suggests playbook-backed next actions, and drafts customer updates with human approval where needed.
How are customs, trade, NIS2, GDPR, and customer data handled?
VDF.AI can run on-premise, in a private cloud, in a sovereign cloud, or in an air-gapped environment. Trade data, shipment data, contracts, customer records, prompts, embeddings, tool calls, and logs remain inside your perimeter. Every extraction, classification, recommendation, approval, and generated output is logged for customs, audit, and customer-governance review.
Build the logistics control plane above the systems you already trust
Start with one objective: freight documents, customs, exceptions, track-and-trace, fleet maintenance, rate analysis, supplier risk, or purchase orders.