Developed an end-to-end export capability for library and book scan results within the ArianitHalimi/AIN_25 repository, focusing on enhancing traceability and reporting efficiency. Leveraging Python for scripting and robust file I/O, the solution aggregates scan data and systematically writes detailed outputs to libraries_output.txt and result.txt. These files capture signed and unsigned library statuses, scanned books per library, and overall scan counts, streamlining audit and reporting processes. The approach reduced manual reporting effort by automating data processing and output generation, demonstrating proficiency in data aggregation and structured reporting workflows while improving business visibility into the scanning process.