Loss Lens — the analytics layer
Thirty-three detectors, nightly
Scored against their peers
It knows a mistake from a theft
Not just voids and refunds. Left on Pump. Single Change-Maker. A safe drop small enough to answer the prompt while the cash stays in the drawer. A suspended sale recalled, stripped of its lines and voided.
Each employee is measured against peers at the same location — a rate eight standard deviations above the peer median is not a hunch, and it is not a black-box number you have to take on faith.
An employee who mis-scans, corrects and re-rings the same item has cost the store nothing, so those events are skipped — matched on manufacturer code and product description. A re-ring at a lower price still scores, because that is a price switch.
Age-verification failures
Card and loyalty overuse
Cross-store pattern detection
Employees who key the same customer birthday five or more times in a day — the signature of a memorized date of birth used to clear the age prompt instead of checking ID. A licence-risk problem, not just a shrink one.
A credit-card last-four whose uses concentrate under one employee. A loyalty number riding far more sales than any real shopper could. Both are provable from the transaction journal alone.
Collusion and sweethearting that span locations — the patterns per-store investigations always miss.
Employee ranking & trends
Prioritized incident queue
Follow any transaction
Rank operators across the whole chain to find repeat offenders and systematic patterns, not one-off anomalies.
A short, ordered list. Your team works the top of it instead of hunting through POS exports.
Pick a site, a window and a pattern, then follow a single transaction into everything it participates in. The tool for the question a dashboard didn’t anticipate.
CaseSuite — the case-management layer
One case record
AI-drafted case summaries
Evidence packages for the handoff
Subject, evidence, notes, police detail and status in a single place — not spread across email and spreadsheets.
Investigation prep is written for you from the underlying transaction evidence, ready to edit.
Export a case as a single evidence package, stamped with who extracted it, when, and when it expires. What a prosecutor can work from, rather than a folder of screenshots.
Narrows the video to review
Restitution & recovery ledger
A workflow that fits yours
Where you have cameras, LPSecure points your team at the footage worth watching.
Record the agreement, whether it was signed or court-ordered, what went to collections, and what was actually collected. Your collection rate sits on the dashboard.
Case statuses, categories, meta tags and employee positions are all configurable, so the system matches how your team already works rather than the other way round.
Reporting and oversight
Investigator performance
Feed health
Exports that go where you need them
Cases opened and closed, closure rate, average days to close, and dollars recovered, sent to police and sent to collection — per investigator, by month or quarter, exportable to CSV.
Every store’s data feed is checked against a staleness threshold. A location that quietly stops sending gets flagged, instead of just going quiet and making the product look like it stopped finding anything.
Excel and CSV exports for deep-dive work and for the systems your finance team already runs.
LPSecure
LPSecure is a DevRight Consulting product — the people behind OwnAI.
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POS-agnostic · Currently helping convenience store operators daily