Collected and analysed the client's country-level and zonal-level operations data across vehicle segments, business categories, cities, hub types, and delivery models to understand the variation in EV adoption across the operational landscape

Shortlisted representative sites using Excel analysis of a mix of operational data to conduct on-field visits and gather insights on operational challenges (internal and external) related to vehicles, vendors, manpower, and more. Assessed current EV adoption and deployment success to identify potential areas for improvement from site visits.

Developed a matrix mapping the observed challenges across business categories, linking them to their CO2 impact and prioritizing areas for intervention, supported by detailed assessments validated through primary and secondary data collection.

Performed business-wise technical specification evaluation for EV models to identify the most suitable vehicles for each business use case, aiming to improve fleet productivity and reliability. Performed business-wise charging infrastructure requirement assessment to support EV adoption. Performed business-wise ownership economics analysis between EV vendors and Flipkart to explore probable business model solutions to reduce EV ownership costs.

Performed business-wise ecosystem readiness assessment to address issues related to vehicle and driver availability. Provided business-specific diagnostics of challenges through root-cause analysis activity with a high-level intervention roadmap, offering actionable solutions for accelerating EV adoption