Built recommendation system to auto-populate invoice fields based on historical data, reducing manual entry time.
Users spent time looking through old documents for reference. Manual data entry for similar invoices inefficient. Needed fast, context-aware recommendations.
Indexed all historical documents in Elastic Search. Designed dedicated queries for different field types (numeric ranges, terms, aggregations). Provided dropdown recommendations based on historical scope data.
Manual work time reduced by more than half per document. Reduced need to search through old documents. Improved data consistency. Fast recommendations.