On-Prem AI Agents for Transportation & Logistics
Deploy a governed on-premise platform with private RAG over freight and trade documents, model routing, immutable audit logs & role-based access. NIS2 & EU AI Act alignment — automate BOLs, customs, and exceptions at 40–60% lower AI cost.
The AI dilemma in transportation & logistics
Logistics runs on documents and exceptions — millions of BOLs, manifests, and customs forms, and a constant stream of delays to manage. AI is built for exactly this, but the data is your customers' and, under NIS2, operationally sensitive.
Document Overload
Bills of lading, manifests, invoices, and customs declarations arrive in every format imaginable. Manual keying is slow, costly, and error-prone.
Critical-Entity Obligations
As essential entities under NIS2, transport operators must protect operational data and meet incident-reporting timelines — hard if AI tools egress data.
Exception Firefighting
Delays, holds, and missing documents demand constant manual chasing across TMS, WMS, and carrier systems — a huge drain on operations teams.
Thin Margins
Freight margins are razor-thin. AI spending has to translate into measurable productivity, not become another unjustifiable cost line.
Automate the paperwork without exposing the data
Data Sovereignty
Complete Data Sovereignty
Shipment and customer data never leaves your perimeter.
Deploy VDF AI entirely on-premises or in your private cloud. No external API calls. No shipment data, commercial terms, or customs documentation traveling to third-party servers. Customer and operational data stays exactly where your security and compliance teams require it.
"Our customers trust us with their freight data. With everything on-prem, we can finally use AI without breaking that trust."
Zero external dependencies
Compliance
Compliance & Traceability Built-In
NIS2 & EU AI Act ready from day one.
VDF AI provides the governance infrastructure regulated operators need:
- Complete Audit Trails — every extraction, classification, and decision logged with full context
- Customs-Ready Traceability — show exactly how a tariff classification or data field was derived
- Access Controls — role-based permissions across operations, customs, and customer-facing teams
- Incident Reporting Support — assemble the documentation NIS2 timelines require
- Human-in-the-Loop Gates — review before any customer-facing or customs submission
NIS2 · EU AI Act · GDPR
Cost Control
Intelligent Cost Management
AI economics that fit thin freight margins.
Logistics lives and dies on cost-to-serve. VDF AI delivers:
- Per-Operation Cost Tracking — know exactly what each document or task costs
- Model Routing Optimization — route routine extraction to small models, reserve frontier models for complex cases
- Budget Controls — set limits by lane, business unit, or customer
- ROI Reporting — tie AI assistance to documents processed and exceptions resolved
- 40–60% Cost Reduction — compared to traditional cloud AI approaches
vs. hosted cloud alternatives
Use cases for transportation & logistics
Freight Document Processing
Extract and validate data from BOLs, manifests, invoices, and packing lists — normalised and ready for your TMS/WMS, with discrepancies flagged.
Customs & Trade Compliance
Agents that draft customs declarations, support tariff classification, and check documentation completeness — with full traceability for authorities.
Exception & Disruption Management
Monitor delays, holds, and missing documents across systems, prioritise by impact, and draft proactive customer updates.
Customer Service & Track-and-Trace
Answer shipment status and documentation queries grounded in your TMS/WMS data — accurate, cited, and on-premise.
Fleet & Maintenance Knowledge
Surface maintenance procedures, parts info, and fault history for fleet teams — reducing vehicle downtime and repeat issues.
Network & Rate Analysis
Summarise lane performance, carrier rates, and capacity data so planners and pricing teams make faster, better-informed decisions.
Technical specifications for logistics
| Requirement | VDF AI Capability |
|---|---|
| On-premise deployment | Full on-premises, private-cloud, sovereign-cloud, or air-gapped deployment options |
| Data sovereignty | Models, embeddings, shipment & customer data remain inside your sovereignty and residency perimeter |
| Document understanding | Extraction & validation for BOLs, manifests, invoices, packing lists & customs forms in mixed formats |
| Private RAG | SOPs, carrier contracts, tariff schedules & manuals stay on-premise inside your governed vector-store boundary |
| Role-based access | RBAC-scoped agents, tools & knowledge across operations, customs & customer teams |
| Model routing | Tier-aware routing keeps routine extraction on smaller models — frontier models reserved for complex cases |
| Audit logs | Immutable audit logs for prompts, retrievals, tool calls & responses — SIEM export & long-term custody |
| Integration examples | TMS, WMS, telematics & EDI integrations via MCP adapters; structured output back to operational systems |
| Encryption | At-rest and in-transit, customer-managed keys |
| Authentication | SSO, LDAP, Active Directory, MFA |
| Uptime SLA | 99.9% (Enterprise tier) |
What changes after rollout
Questions logistics teams ask
Is VDF.AI aligned with NIS2, the EU AI Act, and customs/trade requirements?
Yes. Transport and logistics operators are essential entities under NIS2, and VDF.AI aligns with NIS2 risk-management and incident-reporting obligations, the EU AI Act, and GDPR. It deploys fully on-premise, so shipment data, customer records, and customs documentation stay inside your perimeter, with immutable audit logs over every prompt, retrieval, and response — useful when customs authorities or auditors ask how a classification or decision was reached.
Can VDF.AI process freight documents — BOLs, manifests, customs forms — on-premise?
Yes. A core use case is extracting and validating data from bills of lading, manifests, commercial invoices, packing lists, and customs declarations. Agents read the documents, normalise the data, flag discrepancies, and prepare structured output for your TMS/WMS — all without sending shipment or customer data to a third-party cloud.
How does VDF.AI help with supply-chain exception management?
Agents monitor exceptions — delays, missing documents, customs holds, capacity issues — correlate them across TMS, WMS, and telematics data, and draft prioritised summaries and customer communications. Humans stay in the loop for decisions, while the AI removes the manual work of chasing information across systems.
Why on-premise AI instead of a hosted cloud provider for logistics?
Hosted providers require sending prompts and document fragments to third-party infrastructure. For logistics, that exposes customer shipment data, commercial terms, and (as an essential entity under NIS2) operationally sensitive information. On-premise AI keeps shipment, customer, and trade data inside your boundary — no third-party access, no cross-border transfer questions, no surprise terms-of-service changes.
Ready to automate logistics paperwork?
Talk to our team about your document, customs, and operations requirements.