Cab aggregator platform
A South India-based ride-hailing company approached Mallow after facing major challenges with a rigid off-the-shelf platform that failed to support their growing needs. The system frequently encountered performance issues during peak hours, lacked proper reporting, made driver onboarding costly, and made it difficult to launch in new cities quickly. Their mobile apps were also unstable, leading to frustration for both users and drivers.
To address this, Mallow built a new platform from the ground up with a modular design that supports fast growth, reliable performance, and seamless scalability. We rebuilt the mobile apps, integrated a real-time fare meter, and developed a robust backend capable of handling high booking volumes without downtime. We also embedded advanced analytics, giving the client clear insights to make faster, smarter decisions and efficiently expand into new markets.
Tech Stack
- Swift
- Kotlin
- Laravel
- React
- jQuery
- MySQL
- PostgreSQL
- AWS
- Power BI
- Google Maps
Stats
Daily ride bookings
managed
Faster rollout of
new cities
Accuracy achieved in
fare calculation
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Project Details
2016 - Ongoing
Project duration
8 Services
Services offered
20 Peers
Members involved
Our journey from challenges to outcomes
What were the client’s key challenges?
The company was operating on an off-the-shelf platform that lacked the ability to scale with its evolving business and customization demands.
Launching in new cities was slow due to poor system architecture, high costs for scaling driver count, and limited customization options.
The mobile app was slow and occasionally failed to perform key functions, causing frustration for both users and drivers.
The lack of analytics limited the client’s ability to make informed business and operational decisions using real-time data.
What was our approach?
We rebuilt the platform from scratch with a modular architecture that enables seamless scalability, eliminates driver onboarding costs, and allows new city launches in just 2 days.
We re-architected the backend infrastructure to support over 50,000 daily bookings and handle sudden traffic spikes without downtime.
We built a live fare calculation meter that dynamically adjusts and accurately charges based on the distance traveled.
We integrated Power BI to deliver interactive, real-time reports that help the client make data-driven business and operational decisions.
The Impact
| Impact Area | Outcome |
|---|---|
| Scalability | Rebuilt the platform to handle over 50,000 daily bookings and support future growth without performance issues. |
| System Stability | Replaced unstable mobile apps and backend components to ensure smooth operations across user and driver apps. |
| Analytics and Reporting | Integrated Power BI to deliver detailed reports that support strategic decisions. |
| Third-Party Integration | Seamlessly integrated services like BugSnag, Google Maps, Cursor AI, Squadcast, TollGuru, Razorpay, ValueFirst, and Hyperverge. |
| Peak Load Handling | Optimized system performance to manage traffic spikes during peak hours, festivals, and rainy days without disruption. |
| City Expansion | Enabled new city launches within 2 days through a modular and efficient system design. |
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