Vodafone PLC is a British multinational telecommunications company serving millions of customers globally. It provides networks, mobile contracts, business accounts, and a wide range of telecom services.
Challenge
Vodafone’s manual invoice reconciliation process was slow, labour-intensive, and prone to errors. With global operations generating vast volumes of invoices, the inefficiencies caused delays in matching records, increased operational costs, and created inconsistencies in financial reporting.
They needed a scalable, automated solution that could improve accuracy, reduce processing time, and seamlessly integrate with their existing reporting workflows – freeing teams from repetitive manual tasks.
Solution
Firemind developed a fully automated AWS-powered invoice processing system using machine learning. Leveraging Amazon Textract for data extraction and Amazon SageMaker for training custom ML models, the system was able to identify and match invoice data with high precision.
This cloud-native approach, supported by Amazon Kinesis for real-time data streaming and Amazon DynamoDB for fast, reliable storage, delivered an efficient end-to-end view of Vodafone’s global finance information. The solution reduced reliance on internal servers, improved accuracy, and freed up valuable employee time.
Services used
- Amazon Textract
- Amazon SageMaker
- Amazon DynamoDB
- Amazon Kinesis
The Results
- 95% invoice matching success rate
- 95% invoice matching success rate
- Lowered error rates through AI-driven accuracy
- Freed up accountancy resources for higher-value work
- Cloud-based scalability for global operations
