The Platform

Charger monitoring, billing, load control, and demand forecasts for India's charging networks.

Kazam brings live charger status, automated billing, and site-level demand forecasts together for EV charging network operations in India.

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Charger Monitoring

Spot faults before customers do

Kazam links every EVSE in your network through OCPP, showing live status, fault codes, and offline events in one dashboard. If a connector becomes Faulted or a heartbeat times out, operations receives an alert at once, before a driver calls.

Live fault alerts and remote diagnostics
OCPP 1.6J and OCPP 2.0.1 supported
Uptime tracking for every site
Dashboard and email alerts for operations

// Charger event stream: Hebbal NH Corridor 09:14:02 StatusNotification CP-07 connector: 1 status: "Charging" 09:22:18 MeterValues CP-07 energy: 4.82 kWh power: 22.1 kW 09:31:44 StatusNotification CP-03 connector: 2 status: "Faulted" errorCode: "GroundFailure" // Alert dispatched to ops team 09:31:45 ALERT ops@kazam site: "Hebbal NH Corridor" charger: "CP-03" severity: "HIGH"

Payment Collection

Track every session and rupee collected

Kazam manages billing from session start through bank settlement. Charge by kWh or minute according to your pricing model, while reconciliation runs automatically. Avoid spreadsheets, delayed payout follow-ups, and revenue lost from unrecorded sessions.

Per-kWh and per-minute billing supported
Razorpay and Stripe integration
Daily settlement and automatic reconciliation
Session logs with energy, time, and amount

// Session billing record { "session_id": "sess_9K2M8P", "site": "Whitefield Hub", "charger": "CP-04", "start": "2026-07-14T18:32:05", "end": "2026-07-14T20:11:48", "energy_kwh": 24.6, "rate_per_kwh": 18.00, "amount_inr": 442.80, "status": "settled", "gateway": "razorpay" }

Demand Forecasting

See capacity pressure before turning vehicles away

Kazam models demand at each site using your session history. Forecasts show expected queue formation by hour and weekday, helping you make capacity decisions before a site fills up. Accuracy improves as more session data accumulates.

72-hour demand forecasts by site
Queue prediction from session history
Site-specific capacity expansion signals
Fleet arrival patterns across time windows

// Demand forecast: Koramangala Lot { "forecast_date": "2026-07-14", "site": "Koramangala Lot", "capacity": 6, "forecast": { "18:00": { "demand": 5.2, "risk": "HIGH" }, "19:00": { "demand": 6.8, "risk": "QUEUE" }, "20:00": { "demand": 6.1, "risk": "QUEUE" }, "21:00": { "demand": 3.4, "risk": "LOW" } } }

Load Management

Keep grid demand below your contract ceiling

Evening peaks can make your DISCOM connection a constraint. Set power ceilings by site, throttle active sessions proportionally as demand nears the limit, and respond to grid operator demand signals. This helps avoid curtailment thresholds and penalty demand charges.

Configure power ceilings by site
Throttle active chargers proportionally
Demand response via Modbus
Live site draw with threshold alerts

Reporting

See the network down to each session

Kazam combines data from every site in one reporting layer. Review revenue, uptime, and utilisation across any date range without manual exports.

Session logs

Per-session energy, billing, and charger records. Export any date range to CSV.

Site reports

Daily and weekly site summaries: revenue, uptime rate, sessions served, and peak-hour utilisation.

Network rollup

Compare sites, find underperformers, and monitor network growth with cross-site operations reporting.

Get Started

View the platform with your network size

Book a demo to review charger monitoring, payment collection, and demand forecasting using your site count and hardware.

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