OPTIMIZED KINETICS

This project involved developing a system-level decision support platform for cost-effective fleet electrification planning. Electrifying a fleet is not only a vehicle procurement problem; it requires coordinated decisions across replacement timing, charging access, energy prices, incentive structures, and operational feasibility. Conventional planning methods often depend on static assumptions or one-off spreadsheet scenarios, which can mask tradeoffs and lead to overbuilt infrastructure, underperforming deployments, or avoidable capital risk.

To address this challenge, the project combined operational fleet data with a simulation-based techno-economic framework and delivered it through an interactive web application. The tool evaluates electrification feasibility at the vehicle level, models replacement pathways across planning horizons, and quantifies impacts on total cost of ownership under changing assumptions. Users can stress-test scenarios in real time by adjusting key levers, then immediately see how cost, fleet composition, purchase timing, and feasibility outcomes respond. A supporting movement-map view grounds those decisions in real operational behavior, making it easier to connect strategy with how the fleet actually runs day to day.

The result is a scalable and repeatable planning workflow that improves transparency, speed, and confidence in electrification decisions. By linking high-level strategy to detailed operational evidence, This tool helps technical, financial, and operations teams align around shared assumptions and actionable plans. As a project, it demonstrates how data-driven modeling and user-centered software design can translate complex electrification analysis into practical, decision-ready guidance.