gas station inventory shrink software
Inventory shrink software for c-stores and gas stations.
SKU-level invoice ingestion, vendor cost change flagging, mobile cycle counts, and shift-level shrink attribution, built for the c-store SKU density (tobacco, beverages, snacks, candy) that breaks generic retail tools.
Who this is for
C-store and gas station operators tracking tobacco, beverages, snacks, beer/wine, food service, and general merchandise inventory across one or many locations.
Why the current workflow breaks.
Tobacco is the highest-shrink category and the hardest to track.
Tobacco is typically 40–50% of inside-store revenue and the highest single-category shrink risk, soft-pack pocketing, refund abuse, "buy 2 get 1 free" promo violations, vendor short-shipments. Generic retail tools don't separate tobacco shrink from snack shrink, so the operator sees an aggregate number that's not actionable.
Sunday-night full counts don't work at c-store density.
A c-store with 5,000 active SKUs cannot be fully counted on Sunday evening. Even partial counts take hours. So the operator skips the count, the inventory drifts, and by month-end the variance is too large to attribute.
Vendor invoices arrive faster than they can be entered.
McLane, Core-Mark, and Eby-Brown ship 2–4 times per week with 40–100+ line items per invoice. The bookkeeper hand-typing each invoice is 15–25 minutes per invoice. By month three, the invoice backlog is too deep to reconcile against actual receipts.
The workflow
How it actually runs.
The same sequence on every store, every shift: pre-populated where possible, with attribution baked in.
- 01
Invoice scans extract line-by-line.
Distributor or DSD invoice (PDF or photo) → line items extracted with SKU, description, quantity, unit cost, line total. McLane, Core-Mark, Eby-Brown, Altria, RJR, Coke, Pepsi formats are pre-trained.
- 02
Cost increases flag against prior invoices.
Unit cost is compared against the previous invoice from the same vendor for the same SKU. Increases above the threshold (default 5%) flag for owner review before approval.
- 03
POS sales decrement inventory per transaction.
Where POS integration is wired, item-level sales decrement inventory in near-real-time. Where not, EOD batch update.
- 04
Mobile cycle counts replace Sunday counts.
The system suggests 30–50 SKUs per day across high-velocity categories. Clerk scans the SKU on a phone, enters the count. Variance against expected on-hand flags for review.
- 05
Shrink attribution surfaces per-shift, per-category.
A 2% velocity drop on Marlboro Box over 14 days, correlated with the same overnight shift, with corresponding void burst on the same shift, that's a flagged shrink pattern with the shift attached.
Who uses this, and how.
C-store operator with suspected tobacco shrink.
Within 60 days of going live, the pattern surfaces, which SKUs leak, which shifts correlate, what dollar exposure per month. Most pilots surface the first shrink pattern in week three.
Multi-store operator comparing inventory performance.
Portfolio rollup of shrink by category by store. Identify the outlier store quickly; investigate one location, not five.
Bookkeeper drowning in invoice data entry.
McLane / Core-Mark invoice processing drops from 20 minutes to 30 seconds. Cost increases get caught the same day. Bookkeeper time freed for actual reconciliation, not data entry.
Operator transitioning from a generic retail tool.
C-store SKU density is too high for generic retail back-office tools. StationPro's inventory layer is tuned to c-store-specific patterns (DSD, weekly tobacco refresh, daily beverage delivery).
Side by side
StationPro vs. generic retail / spreadsheet inventory.
| Dimension | StationPro | Generic retail / spreadsheet inventory |
|---|---|---|
| SKU-level invoice OCR | 30 sec, 98%+ accuracy | 15–25 min hand-typed |
| Cost-change detection | Auto-flag vs prior invoice | Manual review, usually skipped |
| Tobacco shrink visibility | Per SKU, per shift | Aggregate category number |
| Cycle counts | Mobile, rolling, 30–50/day | All-store Sunday count |
| DSD vendor handling | Coke / Pepsi / regional pre-trained | New format breaks workflow |
| Shrink attribution | Shift + clerk + category | Aggregate variance at quarter-end |
Questions, answered.
Where does tobacco shrink usually come from?
Three main patterns. (1) Soft-pack pocketing by clerks (highest individual events, ~$3–8 per incident). (2) Promo violations ("buy 2 get 1 free" not enforced at the counter). (3) Vendor short-shipments (Marlboro carton arrives at 9 instead of 10). We surface all three with different detection paths.
How do mobile cycle counts work?
The system suggests 30–50 SKUs per day across high-velocity categories on a rolling basis. The clerk opens the cycle-count screen, scans the SKU, enters the count. Variance against expected on-hand flags for review. Most stores complete a full rotation in 30 days without a "big count" night.
Does this work without a POS integration?
Yes, but degraded. Without POS, sales decrement happens at EOD (one bulk update per day) instead of per-transaction. Anomaly detection still works; the time-to-detection goes from minutes to hours.
How do you handle vendor returns and credit memos?
Returns and credit memos process through the same OCR pipeline as invoices, but posted as negative bills in QuickBooks. The vendor reconciliation reflects net activity (delivered minus returned minus credited).
Can I scope inventory to a specific category for a manager?
Yes. Role-based access lets you scope a tobacco-category manager to tobacco SKUs only. The shrink dashboard shows their scope; cross-category trends roll up to the owner.
Keep reading.
Related features
Tools and templates
From the blog
The forgotten margin is inside the store, not at the pump.
Fuel is a customer-acquisition cost. The actual margin lives in the inside-store revenue you capture from the customer who already parked. A field guide to pump-to-store conversion.
Invoice OCR vs. manual entry, in dollars.
A working calculation for the labor savings, error reduction, and price-leak capture when you stop typing vendor invoices and start scanning them.
See where your station is leaking money.
A 30-minute call. We build the demo around your stations, not a generic deck.