Idle Charging
Time
Route delays and inefficient
charging cycles lead to
wasted time and missed
schedules.
From grid to vehicle automate, monitor and optimize everything that moves.
Route delays and inefficient
charging cycles lead to
wasted time and missed
schedules.
Zero prioritization systems
result in suboptimal vehicle
scheduling and resource
allocation.
Disconnected systems
across chargers and
vehicles create operational
blind spots.
Fault and maintenance
issues go undetected until
they cause costly
downtime.
Poor resource management
leads to wasted energy and
reduced operational
efficiency.
"See. Decide. Execute."
Real time map of active and idle vehicles
Fault and downtime alerts with auto ticket assignment
Energy and cost optimization summaries
Depot health report with performance scores
Real time map of active and idle vehicles
Fault and downtime alerts with auto ticket assignment
Energy and cost optimization summaries
Depot health report with performance scores
Grid and renewable sources feed real time data into the system.
AI balances charger demand based on schedule urgency and capacity.
Smart Queue determines optimal charging order by trip readiness.
System flags anomalies and potential issues instantly across all assets.
Managers monitor, act, and optimize everything from one unified view.
Grid and renewable sources feed real time data into the system.
AI balances charger demand based on schedule urgency and capacity.
Smart Queue determines optimal charging order by trip readiness.
System flags anomalies and potential issues instantly across all assets.
Managers monitor, act, and optimize everything from one unified view.
Kazam's modular architecture lets depots manage energy, vehicles and tasks effortlessly.
Each module plugs into the same data brain ensuring everything moves in sync..
Complete visibility and control over your power infrastructure.
Real-time fleet monitoring and intelligent scheduling.
Proactive maintenance and fault management systems.
Advanced analytics for operational optimization and cost control.
Helps in streamlining the depot charging overhead, reducing any potential risk of vehicle stagnation in the depot.
An advanced vehicle to charger mapping algorithm that works independently in aligning the vehicle as per their requirement onto the charger and helps in streamlining the depot charging overhead, reducing any potential risk of vehicle stagnation in the depot.
Kazam Depot Management integrates seamlessly with existing systems through open standards, scaling from small depots to national grids with enterprise-grade reliability.
Built on open standards like OCPP, OCPI, and Modbus, Kazam EMS connects with any charging management system, SCADA platform, ERP solution, or renewable energy API.
Real results from fleet operators, CPOs and utilities who transformed their energy operations with Kazam EMS
Live numbers from operational deployments across India.
Optimized scheduling and smart queue management deliver measurable efficiency gains.
Predictive maintenance and fault intelligence keep operations running smoothly.
Smart energy management and ToD optimization drive significant cost savings.
Proven at scale with successful deployments nationwide.
The loss mapping feature identified 50L in annual waste we didn't know existed. ROI was achieved in 6 months.
The loss mapping feature identified 50L in annual waste we didn't know existed. ROI was achieved in 6 months.
© 2023 Kazam EV Tech Pvt. Ltd. All rights reserved.
© 2023 Kazam EV Tech Pvt. Ltd. All rights reserved.
1st Floor, Enzyme Tech Park, MP Krishna
Mansion, 1st Cross Road, KHB Colony, 5th Block
Koramangala, Bengaluru - 560095
For Clients:
support@kazam.in
+91 9958943092
For Stakeholders:
grievance@kazam.in
+91 9958943092
© 2023 Kazam EV Tech Pvt. Ltd. All rights reserved.
1st Floor, Enzyme Tech Park, MP Krishna
Mansion, 1st Cross Road, KHB Colony, 5th Block
Koramangala, Bengaluru - 560095
For Clients:
support@kazam.in
+91 9958943092
For Stakeholders:
grievance@kazam.in
+91 9958943092
© 2023 Kazam EV Tech Pvt. Ltd. All rights reserved.