// INDUSTRY SOLUTION | LOGISTICS
Logistics AI: Paperless, Predictive, Highly Efficient.
In logistics, seconds decide margin, but manual data processes break the pace. Xanevo delivers AI solutions for logistics that digitize unstructured documents in seconds and make your supply chain controllable through predictive analytics, for radical efficiency from inbound to last mile.
// THE PROBLEM
Why paper and Excel eat your logistics margin
How does AI concretely help in logistics?
AI in logistics solves two hard problems: manual document chaos (freight docs, shipping notes, invoices) and reactive supply chain management. OCR plus multi-step pipelines turn paper into digital data. Predictive analytics deliver lead time instead of crisis mode. Result: lower process costs and higher delivery reliability.
// OUR APPROACH
Three modules for document capture, workflows, and forecasting
Module 1: Smart document capture
Automated extraction of data from freight documents, shipping notes, and invoices via OCR. Even with changing layouts, poor image quality, and multi-page documents.
OCR on freight docs and shipping notes
Layout recognition per carrier
Multilingual documents
Module 2: Autonomous workflows
Multi-step pipelines feed extracted data straight into the ERP (e.g. SAP, AS/400). Validation, plausibility check, booking proposal, all as automated chain.
Data straight into ERP
Validation against master data
Escalation only on conflicts
Module 3: Predictive logistics
Predictive analytics on historical supply chain data. Bottlenecks, delays, weather backups are recognized with lead time. Instead of reactive firefighting, the team plans proactively.
Bottleneck forecasting
Weather-based route adjustment
Predictive capacity planning
// COMPARISON
Classic logistics process
vs. Xanevo AI stack
Challenge
Classical handling
Xanevo Approach
Freight doc capture
Manual, 5–10 minutes per document
OCR plus workflow, seconds
ERP booking
Manual transfer, typos
Direct pipeline flow
Delay detection
Customer call, then reaction
Predictive model with lead time
Carrier layout change
New Excel template, retraining
Self-learning OCR models
// FAQ
Frequently Asked Questions
Yes. OCR models learn per layout. For new carrier formats, ramp time is short, often under a week to production accuracy.
By default human-in-the-loop: AI proposes, clerk confirms. With high confidence and matching criteria, dark processing kicks in. You set the thresholds.
Of course. We connect SAP via BAPI or OData without changing SAP. AI sits in front, data flows are cleanly documented.
Connected solution clusters
Document AI and OCR
Freight docs, shipping notes, invoices. Layout-flexible, multilingual, with confidence thresholds.
AI Workflows and Agents
Multi-step pipelines from document to booking. Validation, escalation, audit trail.
// LOGISTICS
Book a Logistics Audit for Your Document Processes.
We analyze your OCR needs, carrier variety, and ERP integration in 60 minutes. Outcome: concrete findings plus cost estimate per lever.