Branding
Mobile App
Accessibility
Design System
Healthcare
Fleetly - Fleet Intelligence
Fleet managers were drowning in dashboards. I designed an AI-powered insights and chat module that lets them ask questions about their fleet in plain language and get answers they can actually act on.
Role
End-to-End Product Designer
Timeline
2025 | 12 weeks
Client
A leading global automotive company
Tools
Problem Statement
In India, a fleet manager's morning should start with clarity which vehicles need attention, which routes are at risk, what needs a decision today. Instead, it started with a data hunt.
FleetOntheGo had everything they needed. But getting a specific answer meant navigating 3–4 screens, cross-referencing tables, and assembling the picture manually.
This creates challenges such as:
Slow response to fleet emergencies
Time lost on manual data retrieval
Decisions made on incomplete information
Over-reliance on operations teams for basic status checks
I shadowed fleet managers during their peak operations window, mapped their screen-switching patterns, and studied where the existing product was losing them before designing anything.
Activities:
Stakeholder interviews
Workflow observation
Existing product audit
Competitive benchmarking
0%
0%
Of a fleet manager's operational time spent retrieving data, not acting on it
0
0
Screens required to answer one simple fleet question
0
0
Vehicles a single manager is responsible for tracking simultaneously
0
0
Manual steps to answer "Are any vehicles overdue for service?"
Defining Problem Statement
Fleet managers weren't missing data. They were missing time. Every operational question which vehicles need attention, which routes are at risk, what needs a decision now required navigating multiple screens, cross-referencing tables, and assembling the answer manually. The platform stored intelligence. It just never learned to deliver it.
Research
I sat with fleet managers across different operation sizes 12 vehicles to 80+ asking the same questions and observing the same patterns. The tools differed. The frustration didn't.
Fleet managers weren't bad at their jobs.
They were doing the platform's job for it.
Opportunity mapping
I mapped every pain point to a feature opportunity, then scored each on operational impact vs. integration effort. The top features became the MVP.
Information architecture
Fleetly lives as a dedicated section within FleetOntheGo no new tab to learn, no context switch to make. Inside it, the experience splits into two views that work together:
Insights Feed — The fleet briefs you. Proactive, preference-filtered cards surface what matters before you think to look.
AI Chat — You brief the fleet. Ask anything in plain language. Get a structured, actionable answer with one-tap options to copy, pin, save, or visualise.
Competitive landscape
Fleet management platforms are built around data storage, not data delivery. Conversational querying, proactive AI cards, and preference-based personalisation are absent across the category.
Design system
A system built for operations environments, high cognitive load, time pressure, and users who cannot afford to misread a status. Every component earns its place.
Status-coded insight cards (critical / warning / informational)
Chat bubble system with persistent action toolbar
Inline graph conversion component (bar, line, status breakdown)
Preference chip selector with live feed preview
Skeleton loading and empty states for every AI scenario
The Final Experience
Logo
Splash Screen
Onboarding
Setup
Home screen
AI chat
AI Response
