Loss attribution
Loss Radar
AI anomaly detection across cash, fuel, lottery, and inventory.
Operating rules
12 alert types tuned to gas-station operations
Per-shift, per-employee attribution by default
Acknowledge, resolve, or dismiss. No inbox debt
Auto-links the matching camera event from your CCTV provider
Loss Radar is StationPro's anomaly-detection layer for independent gas stations. It scores every shift against a baseline learned from your own stores, then surfaces cash overshorts, lottery serial gaps, fuel-margin drops, and unusual void bursts with the on-shift clerk, the dollar exposure, and the camera moment that lines up. Loss attribution becomes a queue, not a forensics project.
Loss attribution
Loss Radar
AI anomaly detection across cash, fuel, lottery, and inventory.
12 alert types tuned to gas-station operations
Per-shift, per-employee attribution by default
Acknowledge, resolve, or dismiss. No inbox debt
Auto-links the matching camera event from your CCTV provider
Live review
Morning operating brief
Assistant summary
Loss Radar is StationPro's anomaly-detection layer for independent gas stations. It scores every shift against a baseline learned from your own stores, then surfaces cash overshorts, lottery serial gaps, fuel-margin drops, and unusual void bursts with the on-shift clerk, the dollar exposure, and the camera moment that lines up. Loss attribution becomes a queue, not a forensics project.
Overview
What it does.
Every shift is scored against your normal patterns. When something falls outside the expected band (a cash overshort, a lottery serial gap, a fuel margin drop, an unusual void burst), Loss Radar surfaces the event with the on-shift employee, root-cause hypothesis, and the camera moment that lines up with it.
- 12 alert types tuned to gas-station operations
- Per-shift, per-employee attribution by default
- Acknowledge, resolve, or dismiss. No inbox debt
- Auto-links the matching camera event from your CCTV provider
- Severity ranking by financial impact, not chronological order
Operator fit
Operators who lean on this most.
Loss Radar is part of every StationPro deployment. These operator profiles tend to open it daily.
Questions
FAQs
How is Loss Radar different from POS exception reports?
POS exception reports flag voids and refunds in isolation. Loss Radar correlates them with cash variance, lottery serial gaps, fuel margin drops, and the on-shift clerk, so a $40 cash short ties to the same window as four large voids by the same employee. POS reports stop at "what happened"; Loss Radar answers "who, when, and how much."
Does Loss Radar work without camera integration?
Yes. The financial signals (cash, lottery, fuel margin, void bursts) work without cameras. Camera linking is an optional layer that pins a clip to a flagged event. Operators get value from Loss Radar on day one with or without a CCTV vendor wired in.
How long before Loss Radar learns my station's baseline?
7 to 14 days. The first week is conservative. We use industry priors so you still catch obvious events. By day 14 the system has your store's rhythm (shift volume, lottery velocity, fuel margin band) and the false-positive rate drops sharply.
Will Loss Radar accuse a clerk of theft?
No. Every alert is framed as a variance with attribution, not an accusation. The dashboard shows the dollar exposure, who was on shift, and the camera moment. Owners decide whether it's training, error, or something else. This is by design; "the AI said so" is not a defensible HR conversation.
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Want to try Loss Radar on your data?
A 30-minute demo. We'll set up a tenant with this feature wired to your operational shape and walk it live.