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Built for convenience stores, not adapted to them.

General retail analytics aren’t tuned to c-store patterns. Video systems tell you what happened only once you already know where to look. Most mid-market chains are left on spreadsheets and manual review.

What makes it different

Built for c-store patterns

Detection through resolution

Cross-store intelligence

Fuel, tobacco and vape, lottery, alcohol, energy drinks — the high-shrink categories, and the specific transaction behaviours that hide loss in them.

One platform from flagged transaction to recovered dollars. Most tools stop at the flag and hand you a spreadsheet.

Repeat offenders and collusion across your whole footprint, not one store at a time.

POS-agnostic by design

No camera dependency

Priced for the mid-market

You don’t standardize your POS to use it. PDI Enterprise and Verifone Commander supported today; new connectors in about a week.

Detection runs entirely on transaction data. Stores with the weakest camera coverage are often where the most loss is found.

Enterprise-grade loss intelligence at a price a 40-store chain can actually sign, without standing up an LP department.

It knows theft from a mistake

Benchmarks you can defend

Compliance risk, not just shrink

The most common objection to transaction analytics is that it flags everybody. A corrected mis-scan re-rung as the same item is skipped by design — matched on manufacturer code and description, not on the dollar amount alone.

Not a risk score out of a hundred. An employee’s rate against the peer median for that location, with the cohort size shown. That is an argument you can take into an HR meeting.

Age-verification detection surfaces employees clearing the ID prompt with a memorized birthday. That exposure costs fines and licences, and it is not something a shrink number will ever show you.

How it compares

Against Agilence

Against DTiQ

Against spreadsheets

Agilence is horizontal retail analytics — strong, but built for retail in general rather than convenience specifically. LPSecure is tuned to c-store transaction patterns end to end.

DTiQ leads with video, with analytics as the complement. LPSecure leads with the transaction data and uses it to narrow the video your team reviews — which is the direction that scales.

A spreadsheet cannot risk-score a void or rank an employee across 40 stores. That’s not a criticism of the team doing it; it’s a limit of the tool.

Find out on your own data.

Thirty days, your stores, a quantified number. $2,500 for chains under 50 stores, $5,000 for 50+.

LPSecure

LPSecure is a DevRight Consulting product — the people behind OwnAI.

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POS-agnostic · In production with a convenience-store operator today

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