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Unlocking transportation insights with Impiger’s custom analytics platform for Red Taxi

Transportation

Industry

6 Months

Duration

Custom Analytics

Platform

Analytics Engineering, Data Visualization, MySQL Integration, Dashboard Development

Services

7 use cases covered, >2 GB dataset processed, real-time visibility into supply-demand and revenue trends, improved driver utilization

Impact Metrics

Overview of the Project

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.

Challenges

  1. Disparate datasets made it hard to track cab performance and demand trends.
  2. No consolidated visibility into driver utilization or rebalancing requirements.
  3. Cancellations and lost demand went unmonitored, leading to revenue leakage.
  4. Leadership lacked a single platform for analyzing supply-demand and revenue.

Approach

  1. Developed a centralized analytics solution powered by MySQL.
  2. Modeled and processed >2 GB of operational data into usable formats.
  3. Created dashboards covering bookings, revenue, demand, and cancellations.
  4. Enabled leaders to drill down into driver utilization and user behavior.

Key Components / Integrations

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.

Accelerators / IP Used

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.

Tech Stack

Outcomes / Impact

  1. Enabled Red Taxi to analyze 7 use cases with a single platform.
  2. Improved fleet management through driver utilization and rebalancing dashboards.
  3. Reduced revenue leakage by tracking lost demand and cancellations.
  4. Strengthened customer understanding with behavior and churn insights.

Before

  1. Data scattered across different systems with no unified view.
  2. Supply-demand and revenue trends not visible in real time.
  3. Driver performance and fleet rebalancing unmonitored.
  4. User cancellations and lost demand largely overlooked.

After

  1. Centralized analytics dashboards covering 7 critical use cases.
  2. Real-time insights into revenue, supply-demand, and fleet activity.
  3. Improved decision-making on driver allocation and customer engagement.
  4. Reduced inefficiencies and enhanced profitability.

What’s Next

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.

Like to know more? Talk to our experts who worked on the project.

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