AI-Powered Analytics Platform
Created an intelligent analytics platform leveraging machine learning to predict market trends and optimize supply chain operations.
Client
Dell Technologies
Duration
8 months
Team Size
10 people
Key Results & Metrics
Prediction accuracy on test data
Faster decision making
First year return on investment
Reduced carrying costs
The Challenge
Dell needed to forecast market demand and optimize inventory across hundreds of distribution centers. Traditional analytics couldn't keep pace with market volatility. Supply chain inefficiencies were costing millions annually.
The Solution
We built an ML pipeline using Python and TensorFlow to analyze historical sales data, market trends, and external factors. AWS Bedrock provided foundation models for advanced predictions. Created a real-time dashboard with React to visualize insights and automate decision-making.
Key Highlights
ML model trained on 10+ years of historical data
Real-time demand forecasting with 99.2% accuracy
Automated inventory rebalancing across 300+ locations
Anomaly detection system for supply chain disruptions
Natural language processing for market sentiment analysis
Executive dashboard with predictive visualizations
Technologies Used
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