Pune-based AI-driven urban mobility startup ElektrikExpress has announced the successful deployment of its first 500 electric delivery vehicles across six major Indian cities — Delhi, Gurgaon, Noida, Pune, Mumbai, and Thane — marking a major milestone in its mission to electrify India’s last-mile logistics sector.
The company, which has already signed Letters of Intent (LOIs) and Memorandums of Understanding (MoUs) with 10 leading quick-commerce partners, now aims to expand its electric fleet to over 5,000 vehicles by March 2026.
Built on its proprietary MicroLogi™ logistics intelligence system, ElektrikExpress offers a diversified electric vehicle portfolio including Electric Cargo Cycles (ECCs), Electric Two-Wheelers (E2Ws), and 2.5-Wheel Electric Trikes — all engineered for sustainable and efficient urban logistics. The next phase of expansion will see an additional 5,000 vehicles deployed through FY2025–26 to meet the fast-growing demand in India’s quick-commerce and e-grocery sectors.
In its first six months of operations, ElektrikExpress has already made a measurable impact, reducing over 100 tons of CO₂ emissions and employing more than 300 women riders, who now make up 70% of its active rider base.
We’re building India’s most inclusive and intelligent mobility platform — where safety, sustainability, and livelihood go hand in hand,” said Mr. Chintamani Sardesai, Founder and CEO of ElektrikExpress. “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.
A key component of ElektrikExpress’s safety ecosystem is its collaboration with Helpline Dial4567 Workforce Shield, an employee safety platform providing emergency response, live tracking, and community-based support for riders and gig workers across India.
The company’s MicroLogi™ system has demonstrated strong operational performance, reducing fleet downtime by 30% during pilot runs through predictive maintenance and AI-based fleet intelligence — enabling partners to achieve higher uptime and lower operational costs.
