Project Overview

The finance team spent extensive time manually entering and reconciling data from incoming invoices across multiple vendors. This repetitive process caused reporting delays and made it difficult to maintain an up-to-date financial overview.

Problem Statement

Invoice processing was fully manual, PDFs and scanned documents were reviewed line by line to extract supplier details, amounts, and cost allocations. This led to high error rates, inconsistent categorisation, and limited visibility into payment trends or spending behavior over time.

Solution

We implemented an OCR-based automation layer that reads and interprets invoices from email, scans, or uploads.
The system uses AI-driven text recognition and entity extraction to identify key fields (supplier, total amount, VAT, cost center, payment date) and syncs them directly with the financial dashboard.
It also classifies expenses automatically and provides real-time analytics on cash flow, vendor activity, and cost trends.

Result

• 90% reduction in manual data entry time per invoice.

• Real-time visibility of financial performance and supplier behavior.

• Improved accuracy through automated validation of key fields.

• Interactive dashboard for tracking monthly spend patterns and predicting upcoming payments.