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FleetAnalytica logo
Inspiration:
We started by brainstorming ideas that solved individual problems, like shorter trips or AI resume building. After a mentor’s feedback, we shifted focus to solving challenges for organizations instead of just individuals. That’s when we realized how much risk and cost are tied to vehicle rentals and fleet operations. The idea of rewarding safe driving while giving companies real-time insights inspired us to create FleetAnalytica
What it does:
FleetAnalytica is an iOS app that monitors trips, analyzes driving behavior, and provides real‑time insights such as speed limit compliance, hard stops, sharp turns, and pothole detection. It automatically detects trips, calculates a dynamic driver score, and stores trip data in the cloud.
How we built it:
FleetAnalytica is built with Swift and SwiftUI. It uses CoreLocation, MapKit, and CoreMotion on device; Firebase Firestore for cloud storage; and a unified speed limit service that prioritizes local data with fallbacks to Apple data and OpenStreetMap.
Challenges we ran into:
- Narrowing down our idea was tough. We had to completely pivot from our initial concepts.
- Learning and integrating MapKit for the first time pushed us outside our comfort zone.
- Debugging real-time location tracking and syncing data between the app and Firebase wasn’t easy.
- Figuring out how to bring AI into the project meaningfully (not just as a buzzword) required creativity and iteration.
Accomplishments that we're proud of:
- Successfully building a working prototype in such a short timeframe.
- Creating an app that not only tracks trips but also analyzes driving behavior with metrics like speed compliance, sharp turns, and pothole detection.
- Designing a dynamic driver score that could be valuable for both individuals and organizations.
- Leveraging AI and tools like Cursor to speed up development and push past technical blockers.
- Pivoting effectively after feedback and coming up with an idea that had larger impact potential.
What we learned
- The importance of customer focus: Shifting from individuals to organizations opened up a whole new level of opportunity.
- How to work with MapKit and integrate mapping APIs like OSM for speed limit data.
- How AI can serve as both a development accelerator (through tools like Cursor) and as part of the core functionality (analyzing driving behavior).
- That constraints like time pressure can actually drive innovation and teamwork.
What's next for Fleet Analytica:
- Expand the driving behavior analysis with more AI-powered insights (e.g., fatigue detection, predictive accident risk).
- Build out a dashboard for companies to view fleet-wide analytics, driver scores, and risk patterns.
- Explore partnerships with rental companies, insurance providers, and fleet operators.
- Improve UI/UX for seamless trip detection and reporting.
- Test and refine the system in real-world driving scenarios.
Fleet Analytica – Overview Product Fleet Analytica is a smart safety and analytics app that tracks driver behavior and road conditions in real time. Using smartphone sensors (GPS, accelerometer, gyroscope), the app detects speeding, harsh braking, sharp turns, and pothole impacts. It then assigns a driver safety score, identifies high-risk vehicles, and maps hazard hotspots. With built-in turn-by-turn navigation, drivers only need one app while fleets gain a dashboard that highlights safety, costs, and risks.
Target Users Fleet Managers: Delivery, logistics, service, and corporate fleets seeking to reduce accidents and maintenance costs. Rental & Car-Sharing Companies: Enterprise, Hertz, Zipcar, and Turo hosts who want to protect vehicles and reward safe customers. Municipalities & DOTs: Cities seeking real-time road hazard data to prioritize pothole repair and improve infrastructure. Insurance Providers: Commercial auto insurers interested in usage-based pricing and reduced claims.
Market Opportunity The global fleet telematics market is projected to reach $70.24 billion by 2030, growing at 13.3% CAGR. Rental and car-sharing services like Turo are rapidly expanding, with hosts needing cost-effective safety solutions. U.S. cities spend $165 billion annually on road maintenance — and many lack accurate hazard data. Even a 5% reduction in accidents or repairs can save companies hundreds of thousands annually, making ROI immediate and measurable.
Revenue Model SaaS Subscriptions – Tiered plans for fleets and rentals (per-vehicle/per-driver, monthly or annual). Data Licensing – Selling anonymized road hazard data to municipalities, DOTs, and insurers. Insurance Partnerships – Revenue share from insurers offering premium discounts based on driver scores. Freemium Driver Version – Free app for individuals, with premium analytics and gamification upgrades.
Fleet Analytica delivers one solution that reduces accidents, cuts costs, and makes roads smarter — creating value for fleets, drivers, cities, and insurers alike.
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