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.
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.
Furniture Retail
United Kingdom
14 months
40 members
AI/ML, DevOps, Power BI, SSL/TLS, Microsoft Azure, SQL/NoSQL Databases
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.
Conducted thorough requirements gathering and analysis.
Designed a customized ERP solution integrating all business functions.
Implemented AI-powered modules for predictive analytics and automation.
Ensured seamless integration with existing systems.
As the company scaled its operations globally, several key challenges emerged while managing customer onboarding, product availability, and marketing efforts across numerous stores.
Managing a vast, global supply chain facilitates better planning, streamlining production schedules, and more accurate estimates of delivery dates.
The company struggled with real-time inventory visibility, leading to discrepancies that affected both sales and customer satisfaction.
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.
Synchronizing inventory, pricing, real-time product availability, personalized marketing, and customer data across all channels.
Seamlessly integrating AI-powered modules with existing ERP functionality to align automation business objectives.
Ensuring ERP system handles sensitive data, including financial records, customer information, and proprietary business data.
AI-driven recommendations based on customer preferences boosts user experience and drives sales.
Real-time monitoring, supplier selection, order processing, logistics, and automated decision-making reduces human error and improved efficiency.
AI algorithms integration to analyze historical sales data and predict future demand.
An AI-driven dynamic pricing model was introduced allowing the company to adjust prices in real-time.
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.
