Document data extraction and reconciliation.
Neural networks and NLP to extract information from varied delivery notes, transport documents and invoices, then reconcile it across automotive accounting and management systems.
From documents to the data your systems need.
Large volumes of delivery notes, transport documents and invoices arrive with different structures and content. Relevant fields change position and format, while accounting and management systems must relate them to the same process information. Manual reading and comparison slow the flow and create more opportunities for error.
- Document AI
- NLP
- Data reconciliation
What we designed.
Document recognition is one step in a broader process combining text interpretation, data structuring and reconciliation rules. This integration requires dedicated development around the documents and systems actually used by the business.
Interpret heterogeneous documents
Neural networks for document recognition and Natural Language Processing models interpret content, including non-standard structures. The aim is to identify relevant information without depending on a single layout.
Extract key fields
Identified information is transformed into structured data that business systems can use. The process connects document content to the fields needed for accounting and management activities.
Reconcile data across systems
Dedicated algorithms compare extracted information with records in different systems. Automated reconciliation handles part of the cross-checking work and supports traceability from the document to the management process.
Delivery notes, transport documents and invoices
Neural networks + NLP + reconciliation
Structured data for accounting and management
What it makespossible.
- Automated extraction of relevant fields from heterogeneous documents.
- Connections between document information, accounting and management systems.
- Greater processing traceability and less reliance on manual re-entry.
Do your documents still require manual reading and cross-checking across systems?
Let’s start with your context, available data and the first useful outcome.
Tell us about your project
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