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Development of a Scalable RFID Asset Tracking and Data Streaming Platform
  1. case
  2. Development of a Scalable RFID Asset Tracking and Data Streaming Platform

Development of a Scalable RFID Asset Tracking and Data Streaming Platform

freeportmetrics.com
Logistics
Supply Chain
Manufacturing

Identifying Scalability and Data Processing Challenges in Asset Management Platforms

The client is operating with an external legacy RFID platform that lacks sufficient scalability and advanced data streaming capabilities. This limitation hampers their ability to support growing client demands, expand into new industries, and implement new features, leading to constraints in asset tracking precision and operational efficiency.

About the Client

A mid-to-large enterprise specializing in asset management and inventory optimization within the logistics sector, aiming to enhance scalability and client service capabilities.

Goals for Building an Advanced, Scalable RFID Asset Tracking System

  • Design and develop a scalable, sophisticated asset tracking platform capable of handling high-volume RFID data streams.
  • Implement multi-modal data collection methods including RFID, Barcode, and Manual entry for comprehensive asset management.
  • Create an internal analytics dashboard for real-time visibility into asset tracking, inventory, and workflow progress.
  • Enhance workflow productivity through task management, notifications, and alerts for operational transparency.
  • Enable expansion into new markets and industries by providing a flexible and robust platform that can support diverse client needs.
  • Achieve significant cost reductions and error minimization in asset management, similar to a 98% reduction in loss prevention costs and over 54% decrease in error-related costs observed in previous implementations.

Core Functional Specifications for a Modern RFID Asset Management Platform

  • Sophisticated asset tracking with support for RFID, Barcode, and manual data entry
  • Big data streaming infrastructure to handle real-time data from hundreds of RFID scanners
  • An internal analytics dashboard with reporting and visualization tools
  • Workflow management with task assignment, notifications, and alerts
  • Inventory scheduling capabilities for optimized stock management
  • Hardware integration support for RFID readers and antennas
  • Cloud-based infrastructure ensuring scalability and high availability

Technology Stack and Architectural Preferences for the Platform

Java for backend development
Angular for front-end UI
Apache Flink for real-time data streaming
MySQL for database management
Native iOS Swift and Android Java/Kotlin for mobile apps
AWS cloud infrastructure for hosting and scalability

External System Integrations Necessary for Complete Functionality

  • RFID protocol interfaces for hardware communication
  • Sensor and scanner hardware APIs
  • Cloud infrastructure APIs for data storage, processing, and security
  • Notification and alert systems

Critical Non-Functional Criteria for Reliable System Performance

  • Scalability to support streaming data from hundreds of RFID scanners simultaneously
  • Low latency data processing to enable real-time analytics
  • High availability and fault tolerance via cloud infrastructure
  • Data security and user access controls to protect sensitive inventory data
  • Performance optimization for mobile and web user interfaces

Projected Business Benefits of a Next-Generation RFID Asset Management System

The implementation of this scalable RFID platform is expected to enable the client to expand into new industries and markets, support large enterprise deployments, and achieve operational cost reductions similar to previous successes—such as a 98% decrease in loss prevention costs and over 54% in error reduction. These improvements will result in enhanced client satisfaction, increased revenue opportunities, and solidify the client's position as a leader in asset management solutions.

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