ElektrikExpress Deploys 500 Electric Cycles for Last-Mile Deliveries across Tier-1 Cities Targeting 5000 Electric Delivery Vehicles by March 2026

Pune-based AI-driven urban mobility platform, ElektrikExpress, has completed the successful deployment of its first 500 electric delivery vehicles across six major Indian cities  Delhi, Gurgaon, Noida, Pune, Mumbai, and Thane. With LOIs and MoUs signed with 10 leading quick-commerce partners, the company is now targeting a 5,000+ vehicle fleet by March 2026.

Built on its proprietary MicroLogi™ logistics intelligence system, ElektrikExpress offers Electric Cargo Cycles (ECCs), Electric Two-Wheelers (E2Ws), and 2.5-Wheel Electric Trikes engineered for urban logistics and last-mile deliveries. The next expansion phase an additional 5,000 vehicles will roll out through FY2025–26 to meet India’s surging quick-commerce and e-grocery demand.

In its first six months of operations, ElektrikExpress has already reduced over 100 tons of CO₂ emissions and supported more than 300 women riders across its network. Nearly 70% of its active rider base are women, reinforcing the company’s mission of inclusive, safe, and sustainable mobility.

Chintamani Sardesai, Founder and CEO of ElektrikExpress said “We’re building India’s most inclusive and intelligent mobility platform  where safety, sustainability, and livelihood go hand in hand. ElektrikExpress was never just about vehicles; it’s about people and purpose. With MicroLogi™ ensuring efficiency, and Dial4567 strengthening safety, we’re creating a connected, empowered workforce that keeps cities moving responsibly.”

ElektrikExpress also collaborates with Helpline Dial4567 Workforce Shield, a comprehensive employee safety platform that offers both free and premium safety services including emergency response, live tracking, and community-based support  for riders and gig workers nationwide.

The company’s MicroLogi™ system has proven effective in live operations, reducing fleet downtime by 30% during pilot runs through predictive alerts and maintenance intelligence. This AI-driven capability allows partners to maximize uptime, lower operational costs, and ensure greater fleet reliability.

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