BIS Grooper Automation (US-Based)
Tech Stack: C# · VB.NET · MS SQL Server · Grooper · OCR · Capture · AppXtender · CMIS
Overview
Worked on the development and enhancement of OCR and Capture-based intelligent document processing (IDP) workflows using BIS Grooper for a US-based client. The solution automated document capture, classification, extraction, validation, and export for high-volume documents such as prescriptions, invoices, and operational records.
Key Contributions
Implemented document capture pipelines to ingest files from scanners, folders, and batch sources.
Designed and configured OCR-based workflows for accurate text recognition and structured data extraction.
Built automatic document classification and routing logic based on content and confidence levels.
Developed custom Grooper activities in C# and VB.NET for conditional processing, transformations, and complex validations.
Implemented data normalization and field-level validation rules to improve extraction accuracy and consistency.
Integrated automated exports to AppXtender, MS SQL Server, and CMIS repositories for downstream enterprise systems.
Implemented business rules, error handling, retries, and audit logging for reliable batch processing.
Optimized OCR accuracy, capture reliability, and batch performance for high-volume workloads.
Provided production support by troubleshooting capture, OCR, and extraction issues.
Impact & Results
Delivered an end-to-end document automation pipeline covering Capture → OCR → Validation → Export.
Reduced manual data entry and processing time across large document volumes.
Enabled seamless integration with enterprise content management platforms.
Built a scalable, maintainable solution suitable for mission-critical document workflows.