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ERP System Upgrade and Enhancement for Global Furniture Retailer
  1. case
  2. ERP System Upgrade and Enhancement for Global Furniture Retailer

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ERP System Upgrade and Enhancement for Global Furniture Retailer

theninehertz.com
Retail
Consumer products & services
eCommerce

Challenges with Scalability, Inventory Visibility, and Omnichannel Operations

The client is facing challenges related to managing a complex, global supply chain, achieving real-time inventory visibility across all channels (stores and online), and providing a seamless omnichannel customer experience. Existing legacy systems are hindering data integration and creating data silos, leading to inefficiencies in operations, customer service, and marketing efforts. Difficulty in personalized customer experiences and dynamic pricing further exacerbate the problems.

About the Client

A multinational furniture retailer with a history spanning decades, operating a large global network of stores and an expanding online presence, offering a wide range of furniture, home accessories, and lifestyle products.

Core Project Objectives

  • Implement a modern, scalable ERP system to streamline business operations.
  • Achieve real-time inventory visibility across all locations and channels.
  • Improve supply chain efficiency and reduce inventory costs.
  • Enhance customer experience through personalization and omnichannel integration.
  • Implement AI-powered solutions for predictive analytics, dynamic pricing, and supply chain optimization.
  • Improve data security and ensure compliance with relevant regulations.

Functional Requirements

  • Real-time inventory tracking and management.
  • Order processing and fulfillment automation.
  • Financial accounting and reporting (general ledger, cash flow management).
  • Product catalog management and PIM capabilities.
  • Customer data management and CRM integration.
  • Supply chain planning and optimization.
  • Integration with e-commerce platforms and retail stores.
  • AI-driven recommendations and personalized marketing.
  • Dynamic pricing engine.
  • Automated reporting and analytics dashboards.

Preferred Technologies

Microsoft Azure
SQL/NoSQL Databases
Power BI
AI/ML
DevOps tools (Jenkins, GitLab CI/CD)
MuleSoft or IBM Integration Bus

Required Integrations

  • E-commerce platforms (e.g., Shopify, Magento).
  • CRM system.
  • SCM systems.
  • Payment gateways.
  • Shipping carriers.

Key Non-Functional Requirements

  • High scalability to support future growth.
  • High availability and reliability.
  • Robust security measures to protect sensitive data.
  • Performance optimization for real-time data processing.
  • Data encryption at rest and in transit.
  • Compliance with data privacy regulations (e.g., GDPR).

Expected Business Impact

The implementation of this ERP system is expected to result in a 25% reduction in inventory costs, a 30% improvement in supply chain efficiency, a 20% increase in sales through data-driven decisions and enhanced customer experiences, and improved operational efficiency across all business functions. The AI-powered features are expected to further enhance these benefits by providing predictive insights and automating key processes.

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