Ashfayhan/fleet-cascade-dashboard

Fleet Intelligence Platform

Enterprise decision intelligence for modern fleet operations.

Overview

A comprehensive platform combining AI-powered forecasting, optimization algorithms, and risk analytics to help fleet operators make data-driven decisions.

Key Capabilities

Demand Forecasting

• —Multi-location time-series prediction using gradient boosting
• —Hourly and seasonal patterns with 94% accuracy
• —Adaptive to changing demand dynamics

Fleet Optimization

• —Min-cost flow allocation algorithms
• —Real-time vehicle rebalancing
• —Constraint-aware optimization
• —28% cost reduction demonstrated

Risk Analytics

• —Predictive maintenance scoring
• —Vehicle health monitoring
• —Early warning system for failures
• —Priority-based intervention planning

Features

• —Interactive dashboard with real-time analytics
• —Configurable parameters for different scenarios
• —Visual insights with advanced charting
• —Built-in simulation for demonstration

Technology

• —ML Models: XGBoost, Scikit-learn
• —Optimization: Google OR-Tools
• —Processing: Pandas, NumPy (vectorized operations)
• —Architecture: Cloud-native, scalable design

Use Cases

• —Ride-sharing fleet management
• —Delivery network optimization
• —Vehicle maintenance planning
• —Service area coverage analysis

Links

• —GitHub Repository
• —Documentation

License

MIT License • Open Source