Developing a taxi booking application with a unique monetization model for US based startup

Success Story

About the Client

Logo WaPanda

Wapanda is a New Jersey-based taxi aggregation platform that offers a mobile-first ride booking experience. What sets Wapanda apart is its unique bidding system, which helps riders secure more affordable fares while enabling drivers to maximize their earnings. Currently operating in Jersey City, Wapanda gears up for nationwide expansion, working towards bringing its innovative model to cities across the United States.

Country:

USA

Industry:

Travel & Transportation

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Business Situation and Requirements

As technology-driven ride-hailing services are reshaping the taxi industry, customer expectations continue to rise. Operators must handle large volumes of ride requests, manage dynamic pricing, and match drivers with passengers in real time, while also keeping the fares affordable and operations profitable. To remain competitive in this digitizing market, platforms also need scalable systems that can support rapid growth, peak demand, and continuous feature expansion.
While Wapanda’s app was built around the familiar concept of on demand transportation, its true differentiator was the fare bidding model. Wapanda set out to move beyond fixed pricing by giving riders the ability to propose their own fares, while enabling drivers to counter bid in real time. This two way negotiation created a transparent pricing experience, ensuring both riders and drivers reached a mutually satisfying ride price.

To make their aim stand out better, their key requirements included:

  • Passenger App for Smart Decisions: Locate nearby drivers, compare fares across Uber, Lyft, taxis, and public transit, and choose the most convenient or cost effective ride.

  • Driver App for Full Control: View ride demand, set fares, counter bid, accept requests, and manage trips efficiently.

  • Custom Algorithms for Fare & Bid Optimization: Dynamically calculate fares based on location, destination, time, passengers, and minimum thresholds.

  • Real-Time Counterbidding: Ensures fair pricing for both drivers and passengers.

  • Scalable & Robust Architecture: Handles expansion, high volumes, and real time interactions.

  • High Availability & Future Integration: Supports peak loads and seamless feature updates.

Solution

The initial project blueprint shared by the client was fairly high level, so the first step was to translate the idea into a clear and structured set of requirements. To do this, the team conducted a Discover & Frame workshop, guiding the client to define their app concept, target users, business model. Once the inputs were finalized, the business analysts evaluated the requirements, identified potential risks, and created a detailed development plan.

User experience was a core focus throughout the project. The UI/UX design was shaped by in depth research into user behavior and motivations, ensuring intuitive and seamless interactions. The passenger app was designed to support quick booking, easy fare negotiation, secure payments, and real time taxi tracking. In parallel, the driver app prioritized simplicity and efficiency, enabling drivers to review requests, counter bid on fares, and manage rides with ease.

 

Key Features for the riders

Smart Ride Search & Comparison

Riders can easily search for available rides based on criteria such as the lowest fare, the closest driver, or the number of seats required. The app also allows users to compare multiple options across different services, including Uber, Lyft, and traditional cabs, helping them make informed choices and select the ride that best fits their needs.

Dynamic Fare Bidding

Riders have the option to place bids for rides and receive counter-offers from drivers, creating a flexible pricing system that benefits both parties. This feature encourages fair pricing, giving riders a chance to get a better deal while allowing drivers to accept fares that match their availability and convenience.

Key Features for the riders

Secure In-App Payments

The app integrates a reliable payment gateway to allow safe, seamless transactions without leaving the platform. Users can pay directly within the app using multiple payment methods, ensuring convenience while protecting sensitive financial information.

Trip History & Favorites

Riders can review their past trips, track previous routes, and analyze travel patterns. They can also save frequently visited locations as favorites, making future bookings faster and more convenient while ensuring a personalized and efficient ride experience.

Trip History & Favorites

Key features for drivers

Instant Payments via Stripe

Drivers receive their ride fares instantly through Stripe, eliminating delays and removing reliance on the platform for disbursing payments. This ensures faster access to earnings and enhances financial flexibility for drivers.

Real-Time Fare Visibility

Drivers can view fares set by other drivers in their area, giving them the ability to adjust their own bids competitively. This transparency helps drivers make informed decisions and stay competitive in the marketplace.

Key features for drivers

Dynamic Bidding Control

Drivers can place new bids, modify existing ones, or activate/deactivate bids based on availability and demand. This dynamic control allows them to optimize earnings while balancing their work schedule and ride preferences.

Comprehensive Earnings Tracking

Drivers can monitor their income per ride, as well as weekly or monthly totals, through a transparent dashboard. This feature provides complete financial oversight, helping drivers track performance and manage their earnings effectively.

Comprehensive Earnings Tracking

The Impact

Wapanda’s successful launch showcases Unthinkable’s expertise in building scalable mobility platforms. With a DevOps-driven workflow, release cycles accelerated 5× and feature update costs dropped 20%, enabling rapid innovation without sacrificing reliability. The cloud native AWS architecture, containerized microservices, and predictive analytics ensure high performance, resilience, and smooth operations even during peak demand.

Within months, Wapanda’s real-time capabilities validated its business model, proving operational efficiency and growth potential. The platform continues to evolve with Unthinkable, planning future releases and expansion beyond Jersey City.

Developing a taxi booking application