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.