Managing a mixed fleet of electric and hybrid construction machinery introduces a complex operational variable: energy. The custom automation workflow we architect eliminates the manual burden of monitoring battery states, scheduling charging, and deciding which asset to deploy. It directly attacks the total cost of ownership by optimizing against real-time electricity rates, project demand schedules, and diesel fuel costs. The system ingests telemetry from machines, grid pricing APIs, and project management tools to make continuous, cost-minimizing decisions that protect project timelines while reducing energy spend by 15-25%.




