Shuttle Booking Software
Delivery management software principles applied to an EV shuttle booking app: instant booking, GPS tracking, smart dispatch and a driver app to reduce wait times and boost fleet efficiency.
Client
Mahindra
Platform
Web & Mobile
Industry
Manufacturing
Technology
Angular JS, .NET Core, React Native, GCP
100%
Simplified On-time Booking
75%
Enhanced Shuttle Booking
90%
Improved Customer Experience
100%
Improved Tracking Efficiency
About
Business Challenges
The client wanted to impress their clients with seamless shuttle booking and riding. The tech giant faced two challenges:
(i) shuttle booking and tracking by customers
(ii) route planning and dynamic shuttle allocation for drivers.
Their existing solution wasn’t able to mitigate the challenges.
The client was looking for an advanced app solution that helps their customers and drivers with effortless shuttle booking and riding.
- Manual booking and dispatch processes caused delays and inconsistent service quality.
- No real-time shuttle visibility, which left passengers uncertain about arrival times.
- Inefficient ride assignment increased idle vehicle time and operational costs.
- Separate apps and disconnected workflows for riders and drivers reduced coordination.
Solution
Built a mobile-first shuttle platform using delivery management software principles focused on dispatch, tracking and engagement:
- Customer app with secure login, one-tap booking and saved locations for repeat users.
- GPS-enabled tracking that provides real-time shuttle position and ETAs.
- Smart ride assignment algorithm that prioritizes nearest available EVs and minimizes deadhead distance.
- Dedicated driver app with navigation, live ride details, status updates and messaging.
- Engagement features: ratings, comments, push notifications and in-app feedback to close the service loop.
Our Approach
1
Discovery & Strategy
Conduct in-depth analysis and identified key inefficiencies.
2
Tech Implementation
Integrated AI-powered tools to steer development activities.
3
Deployment & Support
Launched the solution and provided continuous support.
Our Steps
1
Onboard
Rapidly register riders and drivers, capture saved locations and seed the system with vehicle and route metadata so the platform can start accepting bookings.
2
Dispatch
Use proximity-aware, rule-based assignment (smart ride assignment) and live GPS feeds to allocate the nearest EV, minimize waiting and reduce unnecessary mileage.
3
Optimize
Gather feedback, telemetry and usage data to refine routing, update driver schedules, and continuously improve ETA accuracy and fleet utilization.
Outcome
- Reduced passenger uncertainty through real-time tracking and clear ETAs.
- Lowered manual workload and improved dispatch consistency via automated assignment.
- Increased operational efficiency by reducing idle time and optimizing routes.
- Strengthened customer satisfaction with reliable pickups, feedback-driven improvements and better communication.
- Advanced sustainable mobility goals by maximizing EV shuttle utilization for last-mile trips.
Projects
Selected Work
View All
