The Intelligence Layer Your Charging Network Is Missing
A charger intelligence layer is analytics and diagnostics software that sits on top of an existing CMS and turns raw charger telemetry into health scores, root-cause analysis and uptime insight.
Status is not health
CPOs see online/offline. Health stays invisible. A charger can respond to every OCPP heartbeat while quietly failing every attempted session. Angry drivers discover it first, and truck rolls follow after revenue has already leaked. The intelligence layer surfaces health directly from telemetry so operators respond before drivers do.
What the intelligence layer does
Ingests OCPP traffic and CMS APIs from any charger brand, then produces:
- Health scoring per charger (a single number that trends over time)
- Fault analytics with root-cause classification (grid, charger, vehicle)
- Session failure analysis: where in the state machine sessions actually drop
- Uptime and SLA reporting on session-success, not ping-status
- Revenue anomaly detection: energy delivered vs energy billed
- Alerts routed to your ops team, ticketing system or WhatsApp
Sits on top of your existing stack
Reads OCPP traffic or CMS APIs. No charger firmware change. No CMS migration. Deploys on your cloud. If you're on SaaS today, the intelligence layer becomes the reason you don't have to migrate off it just to see what's actually happening.
What data we work with
StatusNotification and OCPP error codes (the boring, structured signal that carries most of the truth). MeterValues at session and interval granularity. Session logs with StartTransaction / StopTransaction correlation. Vendor diagnostics where exposed (connector temperature, relay cycles, RCD trip counts). Grid-side data where the CMS or the site meter shares it. When we've also written the charger firmware, we surface deeper signatures the vendor never exposed.
Built to your spec
Your KPIs, your alert rules, your dashboards. Different views for the NOC, field managers and executives. Site-host dashboards for RE partners and franchisees. Health-score thresholds and SLA targets configurable per portfolio. Delivered with source code, deployed on your infrastructure.
Why RIOD
We write charger firmware. When an OCPP error code says 'GroundFailure', we know what the actual RCD hardware did to trigger it, whether the pattern preceding it is transient or persistent, and what the fix is. Most analytics vendors treat error codes as opaque strings. We don't.
Predictive maintenance status
Predictive maintenance appears on many competitor pages as a shipped feature. Field accuracy tells a different story: the level operators are actually paying for is still a research problem. RIOD is running an open research program on failure prediction for EV chargers in Indian conditions, grid swings, monsoon humidity, 55°C enclosure temps. Partners get early access, we get labelled data, and validated models ship into this intelligence layer as they mature. Join the program if you want to shape the roadmap.
Engineering notes behind Charger Intelligence Layer.
Questions we get most.
What is a charger intelligence layer?
It is an analytics layer built on top of a charging management system. It converts charger telemetry into health scores, fault analytics and uptime analytics, so operators can respond to degradation instead of waiting for drivers to report failures.
Does it replace my existing CMS?
No. It connects to your current CMS through APIs or by observing OCPP traffic. Your operations stay where they are; the intelligence layer adds the analytics your CMS does not provide.
Can it predict EV charger failures?
For some failure modes with useful lead time, yes, and RIOD is running an open research program to strengthen this. Today, patterns like repeated ground-fault trips, relay wear signatures, rising connector temperatures and increasing session failure rates precede most hard failures. The layer flags these so maintenance is scheduled instead of reactive. Prediction as a broad, shipped capability is not yet honest to claim; the research program is where that changes.
Does it work with any charger brand?
Any OCPP-compliant charger. Depth of insight depends on what diagnostics the vendor exposes, and we extend depth for chargers where we also build the firmware.
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