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Custom Microservices-Based Warehouse Management System with Real-Time Analytics
  1. case
  2. Custom Microservices-Based Warehouse Management System with Real-Time Analytics

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Custom Microservices-Based Warehouse Management System with Real-Time Analytics

nan-labs.com
Retail
eCommerce
Logistics

Current Operational Challenges

The organization faces significant shipping delays due to an inadequate warehouse management system (WMS), manual processes causing visibility gaps for staff and management, and insufficient analytics capabilities to identify bottlenecks and errors in fulfillment operations.

About the Client

Leading sneaker consignment marketplace with physical retail locations and international online operations

Key Project Goals

  • Implement a custom microservices-based WMS to replace manual processes
  • Integrate real-time analytics for bottleneck identification
  • Reduce shipping times through process optimization
  • Improve warehouse staff productivity and accuracy
  • Establish proactive system monitoring capabilities

Core System Requirements

  • Modular microservices architecture for scalable operations
  • ELK stack implementation for centralized logging and analysis
  • Real-time DevOps dashboard with system health monitoring
  • Third-party integrations for shipment tracking and CRM automation
  • Role-based interfaces for warehouse staff and management

Technology Stack

NodeJS
React
Redux
Elasticsearch
Logstash
Kibana
AWS

System Integrations

  • Shipment tracking APIs
  • CRM platform integration
  • Inventory management systems

Operational Requirements

  • Horizontal scalability
  • Real-time data processing
  • High system availability
  • Role-based access control
  • Performance monitoring

Expected Business Impact

Implementation of this solution is expected to significantly reduce shipping times through process automation, decrease operational errors by 40-60%, improve warehouse space utilization, and provide actionable business intelligence for continuous process optimization through real-time data visualization and proactive system monitoring.

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