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Automated Inventory Management System for Retail Operations
  1. case
  2. Automated Inventory Management System for Retail Operations

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Automated Inventory Management System for Retail Operations

unosquare.com
Retail
eCommerce
Logistics

Challenges in Manual Inventory Management

The client experiences frequent stockouts and overstocking due to manual inventory tracking, leading to 20% lost sales opportunities and 15% increased operational costs. Manual reconciliation processes cause 3-5 day delays in stock updates, resulting in poor customer satisfaction and inefficient warehouse utilization.

About the Client

A mid-sized retail chain specializing in omnichannel sales with 50+ physical stores and an online platform

Objectives for Inventory System Implementation

  • Implement real-time inventory tracking across all channels
  • Reduce stock discrepancy errors by 80%
  • Automate replenishment processes
  • Integrate with existing ERP and POS systems
  • Improve inventory turnover ratio to 8.5 annually

Core System Functionalities

  • Multi-warehouse stock visibility dashboard
  • Barcode/RFID scanning integration
  • Automated purchase order generation
  • Demand forecasting with AI algorithms
  • Mobile inventory management interface

Technology Stack Requirements

Microsoft .NET Core
Azure SQL Database
React.js
Docker
AWS IoT Core

System Integration Needs

  • SAP ERP
  • Shopify POS
  • Zebra barcode scanners
  • 3PL warehouse APIs

Performance and Security Standards

  • 99.9% system uptime SLA
  • Support for 10,000 concurrent users
  • GDPR-compliant data encryption
  • Response time under 2 seconds for 95% transactions

Expected Business Impact

Projected 40% reduction in stockout incidents, 25% decrease in inventory holding costs, and 35% improvement in order fulfillment speed. Expected to increase customer retention by 15% and support 20% annual revenue growth through improved stock availability.

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Development of Scalable E-commerce Platform with Integrated Inventory Management