“As a renter on the outskirts of the city, I end up riding 60 - 70 kms a day. I hesitate to buy an EV scooter. I can’t install a charger, and the public ones nearby are unreliable.”
— 24-year-old working professional, Bengaluru
EV charging apps in India tell us where a charger is but not whether we can depend on it. For renters and gig riders, this uncertainty becomes the biggest barrier to adoption.
This redesign explores how a reliability-first charging discovery experience could reduce anxiety and increase user trust, driving adoption.
EV adoption in India is shaped by:
While many structural challenges exist, this redesign focuses on one critical friction, trust in charging infrastructure :
Urban Commuter Professional - 2 wheeler
👤 25–40, salaried, metro city (Bangalore, Pune, Delhi NCR)
🎯 Beat traffic, low running cost, tech-forward lifestyle
💸 Drives 40-60 km/day
😰 Battery replacement fear + resale uncertainty
🔌 Apartment parking may or may not allow charging
🧠 Decision Trigger: Peer adoption + visible charger near home
🔓 Priorities : Predictable access to reliable charging.
Gig Rider - 2 wheeler (Zomato, Swiggy, Rapido)
👤 20–35, high daily usage (150-200 km)
🎯 Maximize earnings, minimize fuel cost
💸 Moderate savings vs petrol
😰 Downtime = lost income
🔌 Needs reliable, predictable charging/swapping
🧠 Decision Trigger: Clear daily savings math
🔓 Priorities : Battery swapping or depot fast charging
Fleet-Owned Cargo Operator - 3 wheeler
👤 Logistics SME
🎯 Lower per-delivery cost
💸 Clear ROI in 12–24 months
😰 Battery degradation affecting range mid-life
🔌 Controlled depot charging
🧠 Decision Trigger: Cost-per-km dashboard
🔓 Priorities : Predictive maintenance analytics
Augmenting discovery with predictive analysis and decision engine.
Index
A visible reliability score helps users decide in seconds whether a charger is worth navigating to.
Riders can make informed decisions before reaching the station.
Removes ambiguity around offline chargers and surfaces maintenance transparency that is currently lacking.