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Automated Document Digitization and Workflow Management System for Large-Scale Fleet Management
  1. case
  2. Automated Document Digitization and Workflow Management System for Large-Scale Fleet Management

Automated Document Digitization and Workflow Management System for Large-Scale Fleet Management

rst.software
Automotive
Logistics
Transportation

Identifying Challenges in Manual Paper Document Management for Fleet Operations

The client manages a vast fleet of over 700,000 vehicles across multiple regions and faces an overwhelming volume of paper documents requiring manual processing, leading to inefficiencies, delays, and increased administrative costs. There is a need to automate document digitization, optimize workflows, and improve data accuracy for effective fleet management.

About the Client

A large fleet management service managing thousands of vehicles nationwide, seeking to optimize manual document processing.

Goals for Automating and Streamlining Fleet Document Processing

  • Develop a scalable system to automatically digitize paper documents using OCR technology.
  • Implement a workflow automation platform to route, process, and manage digital documents seamlessly.
  • Enable users to build and modify process models using visual BPMN 2.0 standards.
  • Create a notification system for new documents and verification tasks.
  • Support manual correction of OCR unrecognized fields to ensure data accuracy.
  • Incorporate process performance metrics, bottleneck detection, and efficiency analytics.
  • Integrate with existing cloud infrastructure for flexible deployment and scalability.

Core Functional Capabilities for Automated Document Workflow System

  • Automatic case assignment to responsible departments based on document type or content.
  • Automated OCR processing of scanned documents with support for manual correction of unrecognized fields.
  • A user-friendly document management system for storage and retrieval.
  • Notification and alert system for pending verification or processing tasks.
  • Visual workflow modeling interface using BPMN 2.0 standards for process customization and updates.
  • Process efficiency monitoring tools including bottleneck detection, heatmaps, and key user reports.
  • Integration with cloud services for deployment, scalability, and security.

Technology Stack and Architectural Preferences for the Solution

Workflow automation platform supporting BPMN 2.0 (e.g., Camunda Platform or equivalent)
OCR technology for document digitization
React and React Native for frontend interfaces
TypeScript and Java for backend development
AWS cloud services for deployment and scalability
Docker for containerization
Real-time communication via Socket.io
Identity and access management with Keycloak

Essential System Integrations for Seamless Operation

  • OCR services for document digitization
  • Existing document storage systems
  • Notification and alert systems
  • User authentication providers
  • Analytics and reporting tools

Performance, Security, and Scalability Expectations

  • System capable of processing and managing thousands of documents daily.
  • High availability and reliability for mission-critical workflows.
  • Secure handling of sensitive data with role-based access control.
  • Real-time notifications and process monitoring.
  • Modular architecture to support future scalability and feature expansion.

Projected Business Benefits of the Automated Document Workflow System

Implementation of the automated document digitization and workflow management system is expected to significantly reduce manual processing time, increase data accuracy, and improve overall operational efficiency. This will enable scalable processing of over 19,000 vehicles, enhance process transparency, and facilitate rapid adaptation of workflows, ultimately leading to cost savings and improved service delivery.

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