ERP Software for World’s Largest Furniture Retailer

An Enterprise Resource Planning (ERP) software was implemented to streamline operations and address the pressing challenges faced by the world’s largest furniture retailer. The system enabled real-time tracking of inventory levels, providing accurate data to prevent stockouts and overstock situations, ensuring the retailer could continue to grow and innovate while maintaining operational efficiency.

Industry
Furniture Retail
Client Location
United Kingdom
Project Duration
14 months
Team Size
40 members
Key Technologies
AI/ML, DevOps, Power BI, SSL/TLS, Microsoft Azure, SQL/NoSQL Databases

Client Background

A global furniture retailer, founded in the 1940s, established a strong presence in Europe and began expanding into North America, Asia, and other parts of the world. Over the decades, it has grown from a small local shop into a global powerhouse, offering everything from stylish furniture, home accessories to lifestyle products. Today, the company operates over 400 stores in more than 50 countries and serves millions of customers each year through both physical locations and a growing e-commerce platform.

Project Scope of ERP Software for Home Furnishings Retail

  • Implementation of a centralized inventory management system covering all warehouses, distribution centers, retail stores, and real-time inventory tracking.

  • Product information management (PIM) enabling retailers to easily sell products on multiple platforms instead of creating and maintaining listings on other sites.

  • Cloud-based financial management systems embed intelligent technologies like advanced AI, machine learning, and blockchain directly in managing all business accounting procedures such as cash flow management, general ledger, etc.

  • Relational databases like MySQL, PostgreSQL, Microsoft SQL Server are commonly used for storing and managing structured data.

  • Jenkins, GitLab CI/CD, or CircleCI facilitate automated testing, deployment, and data monitoring.

  • Power BI, Tableau, or Looker integration to provide real-time analytics and reporting on order data.

  • MuleSoft or IBM Integration Bus help integrate and manage data flow between different applications within the ERP, ensuring seamless connectivity.

Our Approach

  • Market Research and Planning

    • Conducted thorough requirements gathering and analysis.
  • Agile Development

    • Designed a customized ERP solution integrating all business functions.
  • AI Integration

    • Implemented AI-powered modules for predictive analytics and automation.
  • Customer Information Integration

    • Ensured seamless integration with existing systems.

AI Feature Introduced in ERP Solution for Furniture Manufacturer

  • Personalization Engine

    • AI-driven recommendations based on customer preferences boosts user experience and drives sales.
  • Intelligent Supply Chain Optimization

    • Real-time monitoring, supplier selection, order processing, logistics, and automated decision-making reduces human error and improved efficiency.
  • Predictive Analytics

    • AI algorithms integration to analyze historical sales data and predict future demand.
  • Dynamic Pricing

    • An AI-driven dynamic pricing model was introduced allowing the company to adjust prices in real-time.

Addressing Challenges Faced by Furniture Retailer

As the company scaled its operations globally, several key challenges emerged while managing customer onboarding, product availability, and marketing efforts across numerous stores.

  • Supply Chain Complexity

    • Managing a vast, global supply chain facilitates better planning, streamlining production schedules, and more accurate estimates of delivery dates.
  • Inventory Management

    • The company struggled with real-time inventory visibility, leading to discrepancies that affected both sales and customer satisfaction.
  • Data Silos and Legacy Systems

    • The retailer relied on various legacy systems, including CRM, SCM, and financial software that operated in silos, making it challenging to obtain a unified view of operations.
  • Omnichannel Integration

    • Synchronizing inventory, pricing, real-time product availability, personalized marketing, and customer data across all channels.
  • AI and Automation Integration

    • Seamlessly integrating AI-powered modules with existing ERP functionality to align automation business objectives.
  • Data Security and Compliance

    • Ensuring ERP system handles sensitive data, including financial records, customer information, and proprietary business data.

ERP Solution Business Impact

  • 25% reduction in inventory costs through accurate demand forecasting.

  • 30% improvement in supply chain efficiency through real-time monitoring and automation.

  • 20% increase in sales through data-driven decision-making and enhanced customer experience.

Project Milestones We Achieved

Milestone Tasks Timeline Responsible
Project Initiation – Define project scope and objectives Month 1 Project Manager
– Stakeholder identification and engagement Month 1 Project Manager
– Develop project plan and timelines Month 1 Project Manager
– Resource allocation and team formation Month 1 HR, Project Manager
– Kick-off meeting with stakeholders Month 1 Project Manager, Stakeholders
Requirements Gathering – Conduct business process analysis Month 2 Business Analysts
– Gather functional and technical requirements Month 2 – 3 Business Analysts, IT Team
– Document requirements and get stakeholder approval Month 3 Business Analysts, Stakeholders
System Design Design system architecture using Microservices, Containerization (Docker), and API Management Month 3 – 4 Solution Architect, IT Team
Develop data models and database schema using SQL/NoSQL Databases Month 4 Database Administrator (DBA)
– Design user interfaces (UI/UX) with Web/Mobile Development Frameworks (React, Angular, Flutter) Month 4 – 5 UI/UX Designers
– Plan integration with existing systems using Middleware and Integration Technologies Month 5 Solution Architect, IT Team
– Security and compliance design with Encryption, IAM, and Compliance Tools Month 5 Security Team, Compliance Team
Development – Set up development environment using DevOps tools (Jenkins, GitLab CI/CD) Month 5 DevOps Team
– Develop core ERP modules (Order Management, Inventory, Finance) using Backend Frameworks (Spring Boot, Django) Month 5 – 8 Development Team
– Develop supply chain and inventory management features using Cloud Platforms (Azure) Month 6 – 9 Development Team
– Implement data integration and migration tools using ETL Tools and Message Queues (RabbitMQ, Kafka) Month 6 – 9 IT Team, DBA
– Develop customizations and extensions using Microservices and APIs Month 7 – 9 Development Team
Testing and Quality Assurance – Unit testing of individual modules using Automated Testing Tools Month 7 – 9 Development Team, QA Team
– Integration testing with API and Integration Tools Month 8 – 10 QA Team
– User acceptance testing (UAT) Month 9 – 10 QA Team, Business Users
– Performance and load testing using Performance Testing Tools Month 10 QA Team
Training and Documentation – Develop user manuals and documentation Month 9 – 11 Documentation Team
– Conduct training sessions for end-users with Training Management Systems Month 10 – 11 Training Team, IT Team
– Provide admin and technical training Month 10 – 11 IT Team, Solution Architect
Deployment and Go-Live – Final data migration and system configuration using Data Migration Tools Month 11 IT Team, DBA
– Go-live planning and preparation Month 11 Project Manager, IT Team
– Post-go-live support using Monitoring and Logging Tools (Kubernetes, ELK Stack) Month 12 – 13 IT Support Team
Post-Implementation Review – Monitor system performance and gather feedback Month 13 Project Manager, IT Team
– Conduct a post-implementation review and lessons learned session Month 13 – 14 Project Manager, Stakeholders
– Finalize project closure report Month 14 Project Manager

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