Client & Project Overview
A major retail brand with 50+ retail stores and an online storefront built an enterprise AI data lakehouse to unify inventory insights.
Business Challenge
Siloed sales data between physical retail outlets and Shopify online store caused inventory stockouts and high carrying costs.
Confiable Solution & Architecture
Built a centralized data lakehouse on Microsoft Fabric with automated ingestion pipelines powering real-time Power BI inventory dashboards.
Implementation & Approach
Connected POS data, Shopify webhooks, and warehouse ERP into Azure Data Factory, creating DAX predictive sales models.
Results & Practical Outcomes
Reduced inventory carrying expenses by 35% and provided real-time sales visibility to executive leadership.
Why It Worked & Key Benefits
35% Inventory Cost Reduction
Predictive AI models prevent overstocking and reduce carrying expenses.
Real-Time Executive Dashboards
Leadership monitors live store and online sales metrics in Power BI.
Unified Data Lakehouse
Microsoft Fabric consolidates POS, ERP, and e-commerce data streams.
Eliminated Stockout Incidents
Automated re-order triggers ensure high-demand products remain in stock.
