At a Glance
Logistics & Supply Chain
Copenhagen, Denmark
Automate the reading, validation and processing of vendor invoices across multiple languages and formats to speed up payments, cut manual effort and eliminate errors.
- 65% faster invoice processing, turning a multi-day cycle into hours.
- 30% lower processing costs through automated extraction and validation .
- 90% improvement in data accuracy, virtually eliminating manual entry errors .
The Challenge
A leading European logistics company was processing vendor invoices manually across multiple languages and formats. Data was routinely lost or misplaced, approvals crawled through inefficient workflows, and the volume demanded significant manpower just to keep pace. The knock-on effect reached beyond the finance team: late payments strained vendor relationships and eroded trust, while the business had no real-time view of invoice status or overdue payments. As volumes grew, the manual approach simply couldn't scale.
Our Approach
Cozentus built a custom, multi-lingual Intelligent Document Processing solution combining AI, machine learning, Conversational Language Understanding (CLU) and Optical Character Recognition (OCR). Invoices are pulled automatically from every source the client uses email, SFTP, API and direct upload then read, extracted and validated without manual handling. CLU identifies the invoice language automatically, and the AI model extracts exactly the fields the business needs. Validated data flows straight into the payment system; anything that doesn't reconcile triggers an email to the right stakeholder for review, so exceptions get attention rather than getting stuck.
Intelligent Processing in Action:
- Automatic capture and quality control: invoices ingested from email, SFTP, API and UI, with corrupted or invalid PDFs automatically flagged back to the sender for correction.
- Multi-lingual AI extraction: CLU detects the language and the AI model extracts the required data against defined business rules.
- Real-time visibility and support: an interactive dashboard shows live invoice status and overdue payments, with a Gen-AI chatbot answering user queries on demand.
Business Outcomes
- 65% reduction in invoice processing time: what used to take days now takes hours.
- 30% lower processing costs: automation removed the manual effort behind every invoice.
- 90% improvement in data accuracy: automated validation caught what manual entry missed.
- 15% revenue growth: faster payment cycles improved cash flow.
- Stronger vendor relationships: on-time payments restored trust and reliability.
- Compliance assured: adherence to tax and regulatory standards built into the workflow.
- Scalable by design: rising invoice volumes handled without adding headcount.
Client Quote
What used to take days now takes just a few hours, and errors are almost non-existent. Our vendors are thrilled with the faster payments, and our team finally has time to focus on bigger priorities.
— Finance Operations Manager, European Logistics Company
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