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Development of a Scalable Web Application for Smart Warehousing Automation
  1. case
  2. Development of a Scalable Web Application for Smart Warehousing Automation

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Development of a Scalable Web Application for Smart Warehousing Automation

scalosoft.com
Logistics
eCommerce
Information Technology

Challenges in Manual Warehouse Operations and Scalability

Manual parcel sorting and handling processes in large warehouses lead to inefficiencies, safety risks, and bottlenecks in fulfillment speed. Limited visibility into real-time storage levels and shipping processes hampers operational decision-making. Existing systems lack integration with automation technologies and global team collaboration capabilities.

About the Client

A globally operating end-to-end warehouse design company specializing in smart warehousing and automation solutions for large-scale logistics operations.

Objectives for the New Development Project

  • Automate warehouse execution workflows to reduce manual labor dependency
  • Integrate heavy-duty robotics for parcel transportation and sorting
  • Enhance real-time visibility into inventory and shipping processes
  • Support global team collaboration across multiple time zones
  • Improve warehouse space optimization through intelligent configuration tools

Core System Functionalities and Features

  • Automated parcel sorting and routing workflows
  • Robot coordination and task management interface
  • Real-time warehouse inventory and storage level dashboard
  • Configurable basket assignment and delivery path optimization
  • Multi-time zone team collaboration and task scheduling tools

Technology Stack Requirements

Vue.js
React.js
Java
C++
Oracle
GitHub
Apptio
Targetprocess

System Integration Needs

  • Heavy-duty robotics control systems
  • IoT-enabled warehouse sensors
  • Existing Warehouse Management Systems (WMS)
  • Global team communication platforms

Non-Functional Requirements

  • High scalability for global warehouse operations
  • Real-time processing with sub-second latency
  • Enterprise-grade security for logistics data
  • 24/7 system availability with failover mechanisms

Expected Business Impact of the New System

The automated WES solution will reduce manual handling risks by 70%, increase sorting speed by 40%, and optimize warehouse space utilization by 30%. Real-time visibility will improve inventory accuracy to 99.9%, while global team collaboration tools will accelerate project delivery timelines across distributed operations.

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