Kapido – Ride Demand & Supply Analysis Platform

Overview

Kapido is a full-stack data analytics platform that identifies and explains demand–supply mismatches in ride-sharing systems. It uses machine learning models trained in Python to predict ride demand, estimate driver availability, and compute real-time gaps. The platform provides time-based and location-based insights, highlights shortage zones on a map, and offers actionable recommendations to improve driver allocation and operational efficiency.

Key Features

• Machine learning model trained in Python for demand prediction
• Time-based analytics (hourly, daily trends)
• Real-time demand–supply gap calculation
• Location-based shortage detection
• Interactive map visualization of hotspots
• REST APIs for predictions and analytics
• Historical data tracking and trend analysis
• Actionable recommendations for driver repositioning

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