A leading logistics provider faced bottlenecks in scaling their business due to manual processing of 100,000+ invoices every two weeks from multiple carriers. These documents arrived in fragmented formats including PDF, TIFF, and JPG files, creating a complex data extraction challenge that required manual reviews. This labor-intensive process had evolved into an operational bottleneck, generating high error rates and inconsistent data quality.
We partnered with the customer to build an intelligent, AI-powered invoice processing system leveraging AWS-native services to create a scalable, event-driven architecture. The solution addressed the complex requirements of automated email and document processing using a fully serverless AWS stack.
The solution leverages Amazon Simple Email Service (SES) for secure email ingestion, automatically depositing emails and attachments into Amazon S3 with event notifications to trigger downstream processing. Amazon Bedrock Claude Sonnet 3.7 model is used for advanced AI-powered classification and validation and Amazon Textract for PDF extraction and Lambda functions for Excel processing.
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