TABLE OF CONTENT

About the Client

The client is a consortium of over 180 limousine operators in Qatar, collectively managing more than 10,000 taxis. Facing high commission fees and operational challenges with multinational ride-hailing services, they aimed to develop their own taxi booking platform. Their goal was to offer an affordable, fair, and efficient alternative for both drivers and passengers, ensuring competitive fares while maximizing driver earnings.

Business Situation

High Commission Fees: Global ride-hailing apps charged high commissions, reducing driver earnings.
Low Profit Margins: Decreasing fares and operational costs hurt profitability for limousine operators.
Limited Fleet Control: No centralized system to monitor vehicle availability, earnings, and ride demand.
Scalability Concerns: Needed an infrastructure that could handle thousands of rides per day.
User Experience Issues: Required an intuitive, seamless app for both drivers and passengers.
Market Competition: The app needed to be competitive with established global players.

The Solution

Unthinkable collaborated with the consortium to design and develop a scalable ride-hailing app. A cloud-based microservices architecture using AWS and Kubernetes ensured high availability and cost efficiency. The app featured real-time ride tracking, automated fare calculation, and demand-based pricing, optimizing both driver and passenger experiences.

Passenger & Driver Apps: Intuitive mobile applications for seamless booking and ride management.
Admin Dashboard: Real-time fleet monitoring, revenue tracking, and business insights.
Dynamic Pricing Engine: Automated fare adjustments based on demand and availability.
AWS-Powered Scalability: Cloud infrastructure optimized for high-performance ride processing.
Secure Payment Gateway: Integrated seamless digital payments with multiple options.
Push Notifications & Alerts: Real-time ride updates for drivers, passengers, and admins.

The Impact

The consortium successfully launched its ride-hailing platform, receiving strong adoption from both drivers and passengers. Within months, the app facilitated thousands of daily rides, improving profitability for drivers while offering fair pricing for riders. By leveraging AWS EKS and microservices, the system achieved 40% lower operational costs and 77% reduction in development efforts. The self-healing infrastructure minimized downtime, ensuring smooth service even during peak hours.

Conclusion

With full control over pricing, driver commissions, and service quality, the consortium is now well-positioned to compete with global ride-hailing giants. Future plans include expanding services to corporate fleets, airport transfers, and intercity travel, further solidifying their presence in Qatar’s transportation ecosystem.