Petro-retail operating intelligence
Fuel Retail
Intelligence
Platform
From firmware at the forecourt to network intelligence in the cloud.
Steernext connects in-house devices, edge vision, station systems and retail workflows to measure fueling behavior, conversion, station health and customer movement.
Full-stack control
One stack.
Device to decision.
Control the data path from camera firmware to the application layer. Immediate station context stays at the edge; network memory and decisioning scale through the cloud.
Device
ANPR cameras, sensors and station hardware.
Firmware
Capture, telemetry and device logic.
Edge AI
Local inference and event creation.
Cloud
Models, network memory and cross-station intelligence.
Application
Digital twin, command centre and retail workflows.
Co-pilot
Explainable recommendations and next-best actions.
One controlled data path.
Retail intelligence
Built on forecourt behavior.
Fueling, store conversion, visit behavior and station flow are measured together — exposing where value is being created, delayed or lost.
Retail conversion intelligence
Connect fueling outcomes, store conversion and member opportunity into one station-level view.
Station digital twin
See mapped station zones, queues, dwell and business context as one live operating model.
Vehicle + fueling intelligence
Link ANPR, visit history, re-identification and station journeys to fueling behavior.
Network command centre
Track station health, network performance, retail conversion, risk and value at stake.
Operating intelligence
Questions that move retail.
Which stations are losing fuel-to-shop conversion — and why?
Where is queue dwell suppressing fueling throughput?
Which repeat non-members should receive a loyalty nudge today?
Which SCADA signal needs intervention, not acknowledgement?
Co-pilot assisted control
Analytics with a next move.
Evidence across forecourt vision, SCADA, loyalty and retail movement — translated into an operating action.
Why did loyalty conversion fall at Station 18 this week?
High repeat non-member traffic, lower fuel-to-shop conversion and longer queue dwell coincided with pump island 2 uptime dips.
Prioritize member capture at exit and inspect island 2.Case study
Download the Fuel Retail Intelligence case study.
Architecture, rollout context, feature depth and expansion pathways.