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Real-Time Warehouse Management System Development For A Multi-Site Logistics Provider | Case Study

Industry

Logistics & Supply Chain

Project

Enterprise Warehouse Management Platform

Target Market

United States

Tech Stack

React.js, Node.js, PostgreSQL, MQTT, WebSocket, Redis, TensorFlow

User Interface Snapshots

Client Background

Client is a rapidly expanding logistics and fulfillment provider operating multiple warehouse facilities across the United States. They handle thousands of SKUs daily, manage a fleet of automated guided vehicles (AGVs), and serve e-commerce clients requiring real-time visibility into their inventory and orders. As their operations scaled from a single facility to multiple specialized warehouses, their legacy systems couldn’t keep pace with the complexity of multi-site operations, automated fleet management, and the demand for real-time analytics.

Client Challenge

  • No unified visibility across multiple warehouse locations and facility types
  • Manual tracking of AGV fleet leading to inefficient utilization and frequent downtime
  • Inventory discrepancies due to lack of real-time synchronization across zones
  • Order fulfillment delays caused by inefficient picking and packing workflows
  • Limited shipment visibility after items left the warehouse
  • Reactive approach to inventory replenishment resulting in stockouts
  • No predictive analytics for fleet maintenance or capacity planning
  • Manual alert management causing delayed responses to critical issues
  • Inability to track cross-warehouse logistics chains and item relationships
  • Poor coordination between receiving, sorting, and outbound operations

Our Solution

  • Developed comprehensive multi-warehouse dashboard with real-time metrics and live zone visualization
  • Built autonomous AGV fleet management system with automatic task assignment and battery optimization
  • Implemented real-time inventory tracking with RFID integration and automated status updates
  • Created end-to-end order management system with picking progress visualization and AGV coordination
  • Integrated shipment tracking module with carrier API connections and delivery predictions
  • Established intelligent receiving management with dock assignment and priority scheduling
  • Deployed advanced analytics dashboard with customizable time ranges and KPI tracking
  • Built comprehensive alert system with automated categorization and acknowledgment workflows
  • Implemented cross-module data relationships enabling seamless navigation between inventory, orders, and fleet
  • Created real-time telemetry system with auto-scrolling logs and system health monitoring
  • Developed mobile-responsive interface with modal-based workflows and intuitive status indicators
  • Integrated CSV export capabilities with full audit trail logging for compliance

Results

  • 78% improvement in fleet utilization through automated AGV task assignment and battery management
  • 92% reduction in inventory discrepancies with real-time RFID tracking and zone monitoring
  • 65% faster order fulfillment through optimized picking workflows and AGV coordination
  • 40% reduction in stockouts with predictive analytics and automated replenishment alerts
  • 85% decrease in response time to critical alerts through automated categorization and notification
  • Real-time visibility across all warehouse locations eliminating information silos
  • 50% improvement in dock turnaround time through intelligent scheduling and capacity monitoring
  • Enhanced decision-making capabilities with comprehensive analytics and trend visualization
  • Scalable architecture supporting unlimited warehouses, SKUs, and fleet expansion
  • Significant cost savings through preventive fleet maintenance and optimized resource allocation

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