Client name
Commercial bank
Client type
Commercial bank (operational factoring)
Industry
Banking / Factoring services
Context
Client, one of the leading commercial banks, processes hundreds of factoring applications daily. Each required manual data entry from invoices into the bank’s internal systems before financing decisions could be made.
To provide factoring services, banks and financial institutions must first collect and verify detailed information from every submitted invoice. This typically involves over 25 data fields per document, including vendor and buyer identification, invoice amounts, payment terms, transaction conditions, and reference numbers.
For our client, this process was entirely manual, carried out by operational teams. Every day, hundreds of invoices from corporate clients using factoring services arrived. Employees had to open each document, locate and interpret key data, then manually input it into the bank’s system before financing could be initiated.
This approach led to several operational challenges:
A time-consuming process that limited scalability
Frequent data entry errors causing delays and compliance risks
High operational costs due to large back-office teams
Difficulty meeting client expectations for fast service
An additional challenge was the diversity of invoice formats, varying significantly across companies, industries, and even countries. Maintaining consistent data quality and regulatory compliance was practically impossible without automation.
Recognizing the need to modernize this process, the bank decided to implement Nu Delta’s intelligent document processing engine [Nu Delta Intelligent Document Processing (IDP) engine / docAI by Nu Delta]. The goal was to eliminate manual work, speed up processing, and build a scalable, accurate invoice handling system while ensuring full compliance with financial regulations.
Effects and results obtained
Automatic invoice processing – data extraction from over 25 fields on each invoice
Operational time reduced by over 80%
Elimination of manual errors in transaction data
Significant reduction in operational resource requirements
Scalability of the solution
Client goals
Automation of invoice data extraction and verification
Reduction of processing time for a single factoring application
Elimination of errors in financial data
Lowering operational department costs without sacrificing quality
Starting point
Manual data entry from thousands of invoices daily
Risk of errors in key fields (e.g., amounts, deadlines, client details)
Limited scalability of the factoring process
Improved operational team efficiency
Document types covered by the implementation
Invoice number, Issue date, Sale date, Payment due date, Currency, Net amount / Gross amount, VAT rate, Seller details (name, address), Seller’s tax ID (NIP) / business registry number (REGON) / company registration number (KRS) (if applicable), KRS excerpt, Buyer details (name, address), Buyer’s tax ID (NIP) / business registry number (REGON) / company registration number (KRS), Seller’s bank account number, Payment method (transfer, cash, other), Payment terms (e.g., 14 days, 30 days), Order/reference number (PO number), Description of goods/services, Quantity of goods/services, Net unit price, Unit of measure (pcs, m², hours), Discounts (if any), Foreign client identification number (for export), Notes on assignment of receivables, Total amount payable in words, Supplementary attachments (e.g., delivery confirmations)
Format: scans, electronic PDFs
Scope and course
Why Nu Delta:
- Technology resilient to invoice format variability
- High accuracy in data recognition regardless of layout, template, or scan quality—perfect for environments lacking document standardization
- Ready integrations with banking and ERP systems
- Fast deployment thanks to APIs and integrations with popular workflow, DMS, and factoring systems
- Flexible deployment models (SaaS / on-premise / private cloud)
- Security compliant with IT policies and regulations (GDPR, KNF, GIODO)
What we delivered:
Automatic invoice recognition, classification, field extraction, data validation, and integration with the banking system
Technology:
Proprietary docAI platform – NLP + OCR + Machine Learning
Deployment model:
SaaS with options for private cloud or on-premise installation
Integrations and how it works
Direct integration with the bank’s factoring system (workflow)
Also usable by software houses
Automatic document ingestion and real-time workflow feeding
A process that used to take several minutes and require human focus now runs in the background. We save time, money, and eliminate errors. This is a game-changer.