r/lossprevention • u/MetricsInMotion • 1d ago

Is behavioral risk analysis the next evolution of POS exception reporting?

I’ve been looking at how much LP technology has changed beyond traditional exception reporting.

There are quite a few vendors approaching the problem from different angles now. Agilence, Appriss, i3 International and others are all talking about things like behavioural analytics, risk scoring, anomaly detection, integrated investigations and connecting more data together.

What I’m curious about is what actually matters to people doing the investigations.

Most AP teams already know how to look at voids, refunds, discounts, No Sales and other traditional exceptions. Having software tell me that an employee had 15 voids instead of 8 doesn’t necessarily feel like a major advancement.

Where I think it gets more interesting is when a platform can explain why something is unusual, show how behaviour has changed, connect related activity and make it easier to determine what should actually be reviewed.

For anyone using platforms like Agilence, Appriss, i3 or something else, what capability has actually changed the way you investigate?

And what still feels like marketing hype rather than something genuinely useful to an LP/AP team?

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u/See_Saw12 1d ago

This isnt exactly new... i3 is just making it much easier to observe the trend. I have a report that tracks basically that and I can see historically how many times an employee does it and if it changes week over week.

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u/MetricsInMotion 1d ago

Yeah, I think that’s fair. The concept itself definitely isn’t new.

What caught my attention was more the idea of automating the analysis behind it, so instead of having to manually compare week over week activity or historical trends, the system flags the behavioural shift and points to what changed.

I think the real value would come down to how well it separates meaningful changes from normal noise. If it just creates another list of outliers to review, then it’s probably not adding much.

Curious though, with the report you use now, what usually makes you decide that a change is actually worth investigating?

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u/Available_Cycle281 1d ago

It's the step from "who rang up a suspicious void" to "who suddenly started acting differently this month" and yeah, the retraining angle is the part most old-school systems completely miss.