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Cost of Manual Work — EV Charging Infrastructure
See what repetitive manual work is costing EV Charging Infrastructure teams each year — where station utilization is the dominant unit-economics variable — most public chargers run well below the 15-20% utilization required for site-level profitability, and the playbook to lift utilization is poorly understood.
What this means for EV Charging Infrastructure
- Station utilization is the dominant unit-economics variable — most public chargers run well below the 15-20% utilization required for site-level profitability, and the playbook to lift utilization is poorly understood.
- Charger uptime is a brand-and-trust crisis — third-party studies have found 20-30% of US public DC fast chargers non-functional at any given moment, and drivers remember the broken experience long after the working ones.
- Grid impact and demand-charge exposure can flip a profitable site to a loss-making one — a single high-power session at the wrong moment can dominate the monthly demand charge.
Where it pays to act
- AI-driven site selection — demand modeling that combines traffic data, EV registrations, dwell-time potential, and grid capacity to pick high-utilization sites.
- Predictive maintenance on charger hardware — failure prediction from telemetry to lift uptime above the NEVI 95% bar.
Adjust the inputs to match your EV Charging Infrastructure team.
What manual work costs you
Annual cost
₹6.6 L
People-weeks / year
33
Recoverable via automation
₹4.62 L
Payback
7.8 mo
What this means
EV Charging Infrastructure teams lose 33 people-weeks a year to this work — about ₹6.6 L. Automating the routine ~70% recovers ₹4.62 L a year.
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Cost of manual work — summary
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