Case Study

AI-powered OCR for Automated Invoice Processing and Insights on AWS

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Industry 

Software Development

Expertise 

AWS Lambda, Amazon API Gateway, Amazon Textract, Amazon EC2

Offerings/solutions 

Automated processes, boosting efficiency, accuracy, and scalability while ensuring security.

About the Client

Arteria is a renowned product development company and Founding Member at SAP Co-Innovation Labs. It is focused on helping customers digitize and automate their supply chains with products that integrate seamlessly with SAP systems. Its exclusive portfolio, FinessArt, leverages deep supply chain and business process expertise.

Highlights

80%

Accuracy in document information retrieval

90%

Reduced manual processing of invoice data extraction

Effortless processing of high-volume invoices

Amazon S3 and Amazon DynamoDB

The Challenge

The customer struggled to automate invoice processing due to the diverse invoice formats, making data extraction inconsistent and complex. Manual handling resulted in inefficiencies, higher operational costs, and workflow delays. Additionally, ensuring secure authentication and seamless integration with existing systems further complicated real-time document processing.

Solutions

  • Stored client data and invoices securely in Amazon S3.
  • Implemented Amazon Cognito for secure user authentication.
  • Used Amazon Textract to extract invoice data, storing it in Amazon DynamoDB.
  • Automated deployments with AWS CodePipeline.
  • Applied AWS security best practices for compliance.

The Results

Achieved over 90% reduction in manual invoice processing time and 80% accuracy in data extraction, improving operational efficiency and security with AWS services.

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