Cognitive Automation of Invoice Processing in Aviation: An SAP BTP and Intelligent Document Processing Framework

Abstract

The aviation industry faces significant operational challenges in accounts payable processes due to high transaction volumes, diverse vendor formats, and complex validation requirements. Traditional manual invoice handling creates bottlenecks that impact cash flow management, increase operational costs, and strain supplier relationships. A cognitive automation framework integrating third-party Intelligent Document Processing platforms with SAP Business Technology Platform and S/4HANA addresses these inefficiencies through machine learning-based data extraction, cloud-native orchestration, and automated validation workflows. Implementation within a major aviation enterprise demonstrates substantial improvements in processing efficiency, with cycle times reduced by 75% and manual effort decreased by 80%. Data accuracy exceeds industry benchmarks while straight-through processing capabilities eliminate human intervention for nearly 75% of incoming invoices. The modular, cloud-based architecture enables scalability across fluctuating transaction volumes without proportional staffing increases. This research contributes to a comprehensive framework validated through industry deployment, demonstrating that intelligent automation combining machine learning with enterprise workflow management delivers superior outcomes compared to traditional robotic process automation approaches for semi-structured document processing scenarios.