Customer Challenge

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.

Solution

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.

Architecture

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.

Key Outcomes

• 70% reduction in manual labor costs through complete automation 

• 40% decrease in invoice processing costs within the first quarter

• 30% reduction in downstream errors and rework, directly improving cash flow

• 95% reduction in processing time and 97% accuracy

• Real-time visibility into freight accrual calculations and financial operations

• Enhanced compliance through standardized data capture and comprehensive audit trails