The product had to justify a premium experience
Mahindra was launching India's first premium electric cab service and needed a differentiated digital experience that justified premium pricing and showcased the EV advantage.
2023·18 weeks·5 engineers
Premium Electric Cab Experience
First-to-market electric cab platform, 95% customer satisfaction
Client:Mahindra Glyd
First-to-market electric cab platform, 95% customer satisfaction
Overview
Mahindra Glyd partnered with Boolean & Beyond to deliver end-to-end ride experience for India's first premium electric cab service, from booking to in-ride entertainment and post-trip feedback. The engagement focused on improving how the business operated day to day while creating a platform that could scale with demand.
The Problem
Mahindra was launching India's first premium electric cab service and needed a differentiated digital experience that justified premium pricing and showcased the EV advantage. Mahindra Glyd needed a delivery partner who could translate that pressure into a product and systems implementation that improved speed, visibility, and reliability without adding more manual overhead.
Challenges
What made this hard
Operational visibility was incomplete
Mahindra Glyd needed clearer visibility into the workflow so teams could act faster, reduce friction, and make better day-to-day decisions.
The business needed a more scalable foundation
Mahindra Glyd needed an implementation path that solved the immediate bottlenecks while building a more scalable operating model for mobility & transportation.
How we delivered
Our approach
Phase 01
Discovery & workflow mapping
We began by mapping the current workflow end to end, identifying the steps creating the most friction for Mahindra Glyd, and prioritizing the journeys where better UX, cleaner data flow, or deeper automation would create the fastest business lift.
Phase 02
Architecture & experience design
From there, we translated the business goals into a delivery plan and architecture centered on End-to-end ride experience for India's first premium electric cab service, from booking to in-ride entertainment and post-trip feedback, so the build could improve adoption, operator control, and room for scale at the same time.
Phase 03
Build, integrations & intelligence
The build was structured across the experience layer (Flutter), core services and data (Node.js and Firebase), and production integrations and ops (Google Maps and IoT Integration). We designed the complete rider journey with real-time EV range visualization, in-cab entertainment controls, and sustainability metrics showing carbon savings. Driver app optimized routes for charging station proximity and battery efficiency.
Phase 04
Launch hardening & optimization
Before and after launch, we tuned the workflows, operational guardrails, and instrumentation against live usage so the platform could reliably support first-to-market electric cab platform, 95% customer satisfaction.
What we built
Solution highlights
01
Core product experience
End-to-end ride experience for India's first premium electric cab service, from booking to in-ride entertainment and post-trip feedback.
02
Real-time operations and data flow
We designed the complete rider journey with real-time EV range visualization, in-cab entertainment controls, and sustainability metrics showing carbon savings.
03
Role-specific operating tools
Driver app optimized routes for charging station proximity and battery efficiency.
04
Production-ready rollout
The implementation was hardened for production so Mahindra Glyd could scale the experience and operational workflow behind first-to-market electric cab platform, 95% customer satisfaction.
The full story
Journey & Execution
Premium Electric Cab Experience
Mahindra Glyd was introducing a premium electric mobility experience, which meant the product had to sell confidence as much as convenience. Riders needed to feel the service was dependable, premium, and clearly different from a standard cab experience.
That pushed the digital brief beyond booking alone. The product had to explain the EV advantage throughout the journey.
Business Context
A premium EV service introduces questions ordinary ride-hailing does not. Range confidence, charging behavior, and trip reliability all shape whether riders see the service as innovative or inconvenient.
Mahindra also needed both rider and driver experiences to support the operational realities of an EV fleet while still feeling polished to the customer.
Mahindra was launching India's first premium electric cab service and needed a differentiated digital experience that justified premium pricing and showcased the EV advantage.
How We Approached the Build
Discovery and workflow mapping
We mapped the experience from booking through pickup, in-ride interaction, and drop-off, then identified where trust, convenience, and brand differentiation needed to be made visible in the product.
Architecture and product design
The implementation connected the rider experience, driver tools, mapping and route intelligence, and fleet signals into one product system rather than treating the customer app and operations stack as separate projects.
Delivery and integration
The design goal was to turn the EV-specific aspects of the service into product strengths instead of friction points.
What We Implemented
That meant focusing on the parts of the journey most likely to influence trust and repeat usage:
- A booking and trip experience designed to feel premium from the first interaction.
- Range and trip visibility that reassured riders without overwhelming them with operational detail.
- In-ride digital touchpoints that reinforced the premium positioning of the service.
- Driver-side route support that factored in charging behavior and operational efficiency.
Operational intelligence
This project was less about showcasing AI for its own sake and more about embedding the right operational signals into the customer and driver experience. The system had to help people trust the service by making better routing, better communication, and better trip design visible.
Stack and engineering decisions
The implementation used Flutter, Node.js, Google Maps, Firebase, and IoT Integration across the experience, service, data, intelligence, and integration layers.
- Experience & channels: Flutter
- Core services & data: Node.js and Firebase
- Cloud, integrations & ops: Google Maps and IoT Integration
Rollout and measurable outcomes
The rollout focused on validating the experience under real fleet conditions, where trip context, charging constraints, and rider expectations all interact in ways mock journeys cannot reveal.
- Customer Satisfaction: 95%
- Booking Completion: 88%
- Repeat Riders: 67%
- Carbon Saved: 12 tons/mo
Why This Delivered Business Value
The product strengthened the premium EV narrative because it connected brand experience with operational practicality instead of forcing riders to choose between the two.
Taken together, the engagement delivered first-to-market electric cab platform, 95% customer satisfaction by aligning product experience, workflow design, and implementation detail around the same business objective.
Under the hood
Technical Deep Dive
We treated the implementation as a product system rather than a single feature build, with Flutter on the delivery surface and Node.js and Firebase behind it. We designed the complete rider journey with real-time EV range visualization, in-cab entertainment controls, and sustainability metrics showing carbon savings. Driver app optimized routes for charging station proximity and battery efficiency. Deployment, integrations, and production operations were supported by Google Maps and IoT Integration, which helped the team roll out reliably and keep improving after launch.
Tech Stack
Technologies used
Experience & channels
Flutter
Core services & data
Node.jsFirebase
Cloud, integrations & ops
Google MapsIoT Integration
Impact at a glance
Results that speak for themselves
Every metric shown is measured in production — not projected, not estimated. These are the real numbers from the deployed system.
Measurable outcomes
95%
Customer Satisfaction
Post-ride satisfaction scores, with riders highlighting the premium in-cab experience and sustainability visibility
88%
Booking Completion
Booking-to-ride conversion rate — significantly above the 65-70% industry average for ride-hailing apps
67%
Repeat Riders
Two-thirds of riders booked again within 30 days, driven by loyalty rewards and consistent premium experience
12 tons/mo
Carbon Saved
Monthly CO2 savings tracked and displayed to riders, creating a sustainability narrative that drove brand loyalty
“
"Glyd needed to feel premium from the first tap. Boolean & Beyond designed an experience where the EV advantage — range visualization, carbon savings, in-cab entertainment — wasn't just a feature, it was the reason to choose us over Uber."
Want a similar result?
Let's build something like this for your team.
Book a focused working session where we map the workflow, architecture, and implementation phases for your specific use case.
Keep Exploring
Explore related services, insights, case studies, and planning tools for your next implementation step.
Related Services
Related Insights
Related Case Studies
Decision Tools
Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.