AutoSaathi
Case Study
Hyper-local auto rickshaw booking for India's Tier 2/3/4 cities — where 500M commuters have no app-based transport option. Pitch deck scored 89/100.
Ola and Uber operate in India's top 20–30 cities. The remaining 5,000+ cities and towns — where 500M+ people live — have zero app-based mobility. Auto rickshaws dominate local transport in these areas but operate entirely offline: hand signals, price haggling, no tracking, no digital payment.
AutoSaathi digitises this entirely — giving drivers a business tool and riders a safe, priced, trackable experience for the first time.
Google Maps has poor coverage in Tier 2/3/4 India — many streets are unmapped or incorrectly mapped. MapmyIndia has 10+ years of ground-truth data collection in rural and semi-urban India, making it the only viable mapping choice for AutoSaathi's target market.
Offline-first design with local map tile caching ensures the app works on 2G connections — the reality for most target users.
AutoSaathi App
Driver and rider interfaces engineered for low-end Android devices and poor network conditions.
App Demonstration
1 / 9
Book, track, pay, and rate. Clean interface designed for first-time smartphone users in Tier 3 cities.
Accept rides, navigate, earn, and track daily income. Works on entry-level Android devices.
India-specific mapping with real Tier 2/3 street coverage, live traffic, and routing.
UPI, cards, and cash-on-delivery fallback. Designed for users who are new to digital payments.
Socket.io live driver location, ETA, and trip status pushed to rider every 3 seconds.
Driver verification, trip sharing via SMS/WhatsApp, emergency SOS, and post-trip rating.
Core booking flow works on 2G. Local SQLite caching with background sync when connection returns.
Web admin for fleet operators — driver management, trip monitoring, earnings, and analytics.
Firebase push for ride status. SMS fallback for drivers without data when on a trip.
Building a mobility platform for India? AutoSaathi's architecture is proven and adaptable.
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