Supply Chain & Inventory Optimization

Industry: Retail, Apparel, Consumer Goods

Challenge: Stockouts, overstock, and inefficient inventory movement across stores.

Solution: An intelligent system using Descriptive, Diagnostic, Predictive & Prescriptive analytics to optimize inventory in real-time.

Tech Stack: Power BI, Python (Pandas, NetworkX), Excel

Impact: Reduced overstock by 25%, enabled auto-reorder, and improved inventory turnover across locations.

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Business Analytics System

Industry: Retail & E-commerce

Challenge: Unstructured sales data leading to poor decision-making.

Solution: A real-time dashboard with AI-powered insights for revenue, customer trends, and inventory tracking.

Tech Stack: Power BI, SQL, Python

Impact: Increased revenue forecasting accuracy by 40%, improved data-driven decision-making.

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Predictive Maintenance System

Industry: Manufacturing

Challenge: Unexpected machine failures causing downtime.

Solution: AI-based predictive maintenance using IoT sensors to detect early equipment faults.

Tech Stack: IoT Sensors, AI, Cloud Computing

Impact: Reduced downtime by 60%, optimized maintenance costs by 30%.

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