Investigators using FaceFirst solved cases faster, uncovered more value, and built stronger cases against organized retail crime.
A Consejo de Investigación sobre Prevención de Pérdidas (LPRC) case study has demonstrated the substantial impact of FaceFirst®’s facial recognition technology on organized retail crime investigations, revealing dramatic improvements over traditional CCTV methods.
The study compared two investigators with similar backgrounds working the same case: one using FaceFirst® and the other relying on traditional CCTV reviews. The results were striking.
From Alerts to Answers
While most facial recognition systems stop at the alert, FaceFirst® continues where others stop — turning alerts into answers.
FaceFirst® transforms face matches into actionable intelligence, helping loss prevention teams connect patterns, accelerate investigations, and outpace organized retail crime.
The technology’s most powerful differentiator is its look-back capability.
Unlike systems that can only work from existing case data, FaceFirst® can search historical system footage to uncover every visit, every pattern, and every accomplice tied to a person of interest — even those never captured in a case file.
This unique ability to search the unknown is what turns data into investigative efficiency — giving investigators the tools to build meaningful, multi-location cases faster than ever before.
The Results: 6× Faster, 4× More Value, 32× More Efficient
En LPRC study compared performance across identical investigations:
That’s an 8× improvement in time efficiency, 4× greater case value, and 2× more connected locations and vehicles.
When measured by time invested versus outcome achieved, the FaceFirst®-assisted investigator was 32× more efficient in terms of case value per hour.
The Power of Look-Back Search
Beyond real-time alerts, FaceFirst® delivers enduring value through look-back visitor search.
When a person of interest is identified, investigators can instantly review previous store visits, linked incidents, and potential accomplices — whether or not those moments were ever entered into a case file.
This capability transforms what used to be reactive investigations into proactive, intelligence-driven casework that spans past, present, and future.
Real-World Results, Real-World Impact
The study also showed that the FaceFirst®-assisted investigator stopped four in-progress theft attempts valued at $8,600, prevented repeat offenses, and provided detailed evidence for law enforcement.
According to LPRC Senior Research Scientist Dr. Cory Lowe, this is a prime example of technology acting as a “force multiplier,” enabling investigators to “work smarter and faster while improving case quality.”
As Gainesville Police Detective Nick Ferrara, who participated in the case study, put it:
“This is a textbook example of working smarter, not harder. The unassisted case — it’s decent. But the assisted one is one hell of a case to present to a prosecutor.”
Beyond Notifications: Investigative Intelligence
Traditional CCTV captures the past.
Alert-only systems capture the present.
FaceFirst® unites past, present, and future — revealing the who, where, and what’s next.
Retailers don’t just get alerts. They get the ability to search, connect, and solve at scale, across time.
That’s what makes FaceFirst® the most complete investigative tool in loss prevention.
Más información
Read the full LPRC ORC Investigation Study Aquí and discover how FaceFirst®, part of Sistemas Gatekeeper, is redefining investigative efficiency in retail.
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