Logistics
Document AI for logistics, transport and global trade
In short
RootNia helps logistics operators, freight forwarders and trade teams process large volumes of delivery notes, CMR consignment notes, commercial invoices, bills of lading and customs documents. It classifies every document, extracts key data anchored to its position in the original and lets you query the full history in plain language.
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The problem: high volume, mixed formats and a lot of typing
Every shipment generates several documents — delivery note, CMR, invoice, packing list, customs paperwork — issued by different companies, in different formats and often scanned or photographed. Their content is re-typed into the ERP or TMS, with the cost and transcription errors that come with it.
How RootNia solves it
- Single intake: the orchestrator collects documents from SharePoint, OneDrive and databases.
- Reads scans and photos: OCR and MIKA interpret text, tables and images.
- Verifiable extraction: VERA anchors every extracted value (references, weights, packages, amounts) to its region in the original document.
- Query the history: RAG answers questions about shipments, incidents or suppliers with the source cited.
Common use cases
- Matching delivery note, invoice and purchase order.
- Preparing and reviewing customs documentation.
- Handling incidents and claims with the shipment’s documents.
- Querying history by customer, route or supplier.
Example: matching delivery note, invoice and order
Illustrative example of how it works, not a specific customer.
An accounts manager asks: “Which of this month’s carrier invoices do not match the package counts on their delivery notes?”
- RootNia classifies the period’s documents as invoices, delivery notes and CMR, including photographed ones.
- VERA extracts references, package counts and amounts from each document, anchored to their position in the original.
- The answer lists the mismatches found, each linking to the invoice and delivery note involved.
- Review comes down to opening each case and confirming it, without re-typing a single value.
Getting started
- Fast: Starter connects up to 3 document sources and is running in 48–72 h with a kickoff call.
- More volume: Business supports up to 10 sources and 250,000 documents, with technical onboarding in 1–2 weeks.
- Integration: via API, extracted data can flow into your ERP or TMS.
Compared with the alternatives
If you use template-based data capture or do it by hand today, see the comparisons with IDP tools such as ABBYY or Kofax and with manual processing.
Frequently asked questions
Which logistics documents does it recognize?
Delivery notes, CMR consignment notes, bills of lading, commercial invoices, packing lists, certificates of origin and customs documentation, whether native PDFs, scans or photos.
Does it remove manual re-keying?
Yes. Data is extracted automatically and VERA anchors every value to its position in the document, so review becomes a one-click check instead of typing.
Does it handle documents in several languages?
Extraction and answers rely on multilingual LLMs, so documents from international suppliers and carriers are processed in the same flow.