Free calculator
Multi-store loss exposure calculator.
Enter your store count and your per-store estimates for cash variance, lottery shrink, fuel wet-stock loss, and inventory shrink. See the annualized portfolio exposure, and the recoverable share once attribution is in place.
Portfolio
Per-store weekly exposure
Median independent: $20–60/week
Median: $50–150/week
Median: $80–200/week
Median: $150–400/week
Recoverable share
Pilot data: 40-80% range; 67% midpoint typical
Annualized exposure
Operators who run serial-level lottery, SKU-level invoice OCR, ATG-driven fuel reconciliation, and rolling cycle counts typically recover this share within 90 days of going live.
Defaults reflect median independent operators. Adjust for your own portfolio: high-volume stores skew higher; well-managed single-store operators may run a fraction of these.
How this is computed.
Store count.
Active stores in your portfolio. Per-store rates apply uniformly; refine per store once you have data.
Per-store weekly cash variance.
Median independent: $20–60/week of unattributed variance. Top performers: under $10.
Per-store weekly lottery shrink.
Median: $50–150/week. High: $400+. Well-managed: under $20.
Per-store weekly fuel wet-stock exposure.
Median: $80–200/week. Depends on volume and pump calibration discipline.
Per-store weekly inventory shrink.
Median: $150–400/week. Tobacco-heavy stores skew higher.
Portfolio weekly + annual exposure.
Sum × store count × 52.
Recoverable share.
Operators with serial-level lottery, OCR invoices, ATG-driven fuel reconciliation, and rolling cycle counts recover 60-75% of the exposure within 90 days.
What the result tells you.
A typical 8-store portfolio with median rates runs $80–150k/year of loss exposure. The recoverable share is roughly $50–100k. The investment to move from median to "well-managed" across all four categories is operational discipline plus software, usually $20–40k/year in tooling. Net ROI is positive at every reasonable operating scale; the question is whether the operator is willing to do the operational work, not whether the math pencils.
Use this when…
- Estimating portfolio loss exposure for the first time.
- Building the budget case for back-office tooling.
- Comparing portfolio exposure across operating peers.
- Setting 90-day recovery targets.
Related.
Features
Loss Radar
AI anomaly detection across cash, fuel, lottery, and inventory.
Lottery accountability
Serial-gap detection with shift attribution.
Fuel reconciliation & margin tracking
Pump, POS, BOL, and ATG, matched daily with margin visibility.
Multi-store portfolio
One owner pane of glass, with per-store drill-down.
Inventory & shrinkage detection
Receipts in, sales out, every SKU reconciled.
Buyer guides
Multi-store gas station reporting that owners actually open.
Portfolio rollup across every store, real-time KPIs, per-store drill-down in one tap, regional-manager scoping, daily owner brief, replaces the cross-store spreadsheet most multi-location operators run today.
Gas station loss prevention software with per-shift attribution.
AI anomaly detection across cash variance, lottery serial gaps, fuel margin drops, and inventory shrink, each event tied to the on-shift clerk, with the camera moment that lines up.
From the blog
Loss attribution beats theft prevention.
Why the goal isn't to stop shrinkage at an independent station, it's to know who, when, and how. A field guide to building an attribution system instead of a security one.
The lottery shrinkage playbook.
How to instrument scratcher accountability across barcode scanning, serial-gap detection, and shift attribution. The four-week sprint that closes the leak.
FAQs.
How does this compare to the ROI calculator?
The ROI calculator estimates savings from specific StationPro workflows (EOD time, OCR labor, lottery serial tracking). This calculator estimates total exposure across all loss categories regardless of which tool you use. ROI is "what could you save with us"; exposure is "what is the problem worth."
Is recovering 60-75% realistic?
Pilot data ranges 40–80%. The 60-75% midpoint is what well-executed 90-day rollouts achieve. The variance depends on how disciplined the operator is about following up on flagged events; the tooling sets the ceiling.
What if my stores have very different sizes?
Use a weighted average of per-store rates. For more accuracy, run the calculator separately per store and sum the results. The portfolio number is more useful than a precise per-store estimate when first sizing the problem.
See how StationPro automates multi-store loss exposure calculator.
A 30-minute demo. We walk through the underlying workflow in your station's actual data.