NA IMS — OCR Automation
Enterprise OCR automation streamlining document processing workflows for Birchstreet Systems.
Built OCR Automation for Birchstreet Systems' NA IMS platform, digitizing and streamlining enterprise document processing workflows using React.js and TypeScript. The system enables seamless scanning, validation, and submission of structured data from paper-based documents, reducing manual entry by over 70%.
Tech Stack
Key Screens
Document Scanner
OCR-powered scanning interface that digitizes paper-based documents into structured, validated data entries in real time.
Review Dashboard
Real-time review panel for validation and correction of OCR-extracted data before final submission to the system.
Workflow Queue
Priority-based document queue management allowing teams to track, assign, and resolve processing tasks efficiently.
Challenges Faced
Digitizing enterprise document workflows required handling diverse document formats, ensuring extraction accuracy, and integrating seamlessly with legacy backend systems — all under strict compliance requirements.
OCR Accuracy
Achieving consistent extraction accuracy across varied document layouts and print qualities required iterative model tuning and post-processing logic.
Legacy Integration
Connecting the modern React frontend with existing enterprise backend services required careful API design and backward compatibility handling.
User Adoption
Enterprise staff accustomed to manual workflows needed an intuitive interface to reduce the learning curve and drive adoption.
Solutions
By combining a robust OCR engine with a well-structured review-and-correction UI, the team delivered a system that dramatically reduced manual data entry while maintaining high accuracy across diverse document types.
Smart Extraction Pipeline
A multi-stage OCR pipeline with confidence scoring flags low-accuracy fields for human review, ensuring data integrity without slowing the workflow.
Modular React Architecture
Component-driven development with TypeScript ensured type-safe integration with enterprise APIs and enabled rapid feature iteration.
Guided Review UI
Color-coded field validation and inline correction tools made the review process fast and intuitive for non-technical staff.
Incremental Rollout
A phased deployment strategy allowed teams to adopt the system gradually, collecting feedback and refining the UX with each release.
Results
The NA IMS OCR Automation platform significantly improved operational efficiency across Birchstreet's enterprise clients, reducing document processing time and error rates substantially.
70%+ Reduction in Manual Entry
Automated extraction replaced the majority of manual keystrokes, freeing staff for higher-value tasks.
Faster Processing Cycles
Average document-to-submission time dropped from hours to minutes, accelerating enterprise procurement workflows.
Improved Data Accuracy
Structured validation and guided review reduced submission errors significantly compared to the legacy manual process.
Positive Staff Feedback
Internal user satisfaction scores improved markedly after the guided UI rollout, driving full team adoption within two quarters.