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Impiger built a powerful analytics platform for Red Taxi to track, monitor, and optimize cab-related activities. The solution consolidated booking, demand, revenue, and driver performance data into a unified view. With 7 focused use cases, the platform processed large datasets seamlessly and gave Red Taxi’s leadership actionable insights into operations, customer behavior, and financial health.
Supply and Demand Trends – Monitors overall market activity and booking patterns.
Booking Analysis – Provides visibility into confirmed, pending, and completed rides.
Lost Demand – Identifies missed opportunities due to unavailability or delays.
Driver Utilization & Rebalancing – Tracks active hours, idle time, and fleet distribution.
Revenue Analysis – Consolidates financial data for insights into profitability.
User Cancellations – Monitors cancellation rates and underlying causes.
User Behavior – Examines booking frequency, preferences, and churn indicators.
MySQL Integration – Ensures seamless ingestion of large-scale datasets into the analytics engine.
We leveraged reusable ETL pipelines, pre-defined visualization patterns, and analytics templates for demand and revenue monitoring. These accelerators helped reduce time-to-market, improve accuracy of insights, and ensured scalability for large data volumes.
Future roadmap includes predictive modeling for demand forecasting, AI-driven churn analysis, and automated rebalancing recommendations. Advanced analytics dashboards will incorporate geospatial visualizations and real-time alerts to support faster and more proactive decision-making.
