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Speaker 1: Now there's been a if you're in the shops, you

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Speaker 1: may notice this. A notable drop in violent crime being

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Speaker 1: reported by retailers this year. Retail crime intelligence company AURA

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Speaker 1: has found the use of weapons is down twelve percent,

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Speaker 1: violent events down six percent, threatening events down five Meanwhile,

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Speaker 1: in Australia, the same kinds of incidents are trending upwards.

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Speaker 1: Or Vice president Nick McDonnell is with me this afternoon.

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Speaker 2: Nick.

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Speaker 1: Good afternoon, afternoon, Ryan. How are you very well? Thank you?

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Speaker 1: So how do we know that? Is this just in

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Speaker 1: the areas where your cameras are recording?

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Speaker 2: Yeah, so we're not a camera company. A retailer will

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Speaker 2: put the information into our system, like a database of

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Speaker 2: information that they've already captured themselves, and they'll put in

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Speaker 2: the characteristics of an offense or an incident in their store.

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Speaker 2: And what they'll do is they'll tag it whether it's

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Speaker 2: had a weapon involved, or it's been violent or threatening,

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Speaker 2: those sorts of things, and that's whether that's where the

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Speaker 2: data comes from. And it is obviously for people who

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Speaker 2: are customers of ours, but that's quite a large spread

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Speaker 2: across the country.

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Speaker 1: And what do people tell you, like, why is this happening?

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Speaker 2: Do you think, Well, I think New Zealand has been

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Speaker 2: very leading in terms of its adoption of technology in

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Speaker 2: this space. So one of the big things is ten

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Speaker 2: percent of people are causing sixty percent of the crime

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Speaker 2: in retail, and we know that that ten percent are

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Speaker 2: six or four to six times more likely to be violent.

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Speaker 2: But you have to surface that information in order to

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Speaker 2: find the patterns and in order to find the people

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Speaker 2: causing the most harm. And retailers have really led the

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Speaker 2: way and leaning into it, and then the police on

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Speaker 2: the other side of the system have also lent into

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Speaker 2: this earlier than other markets and are really collaborating together

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Speaker 2: through the platform. But it's that recognition that retail crime

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Speaker 2: is a really high volume crime type. You can't overwhelm

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Speaker 2: the system with every incident. So if you use the

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Speaker 2: technology to really make sense of the information, that allows

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Speaker 2: you to focus your resources more effectively.

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Speaker 1: And does that mean we are identifying people who you know?

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Speaker 1: You said the ten percent? Are we identifying the repeat

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Speaker 1: offenders and not letting them into shops? And that's why

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Speaker 1: it's coming down?

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Speaker 2: It can be a combination, right, So you are identifying them,

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Speaker 2: you are visiting to those people the events that previously

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Speaker 2: would have been seen as isolated incidents, So you're actually

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Speaker 2: saying this one person has caused ten events, rather than

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Speaker 2: there's ten different people causing ten events. And that then

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Speaker 2: allows police to be able to go pick up or

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Speaker 2: investigate those high harm offenders that are having the most

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Speaker 2: amount of impact. And if you're picking up those people,

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Speaker 2: you're taking them out of circulation, or you're doing whatever

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Speaker 2: else you need to do to prevent further crime.

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Speaker 1: Nick, really appreciate that update. Thank you. That's Nick McDonell,

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Speaker 1: who is with AURA Vice president. For more from Hither

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Speaker 1: Duplessy Allen Drive.

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Speaker 2: Listen live to news talks.

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Speaker 1: It'd be from four pm weekdays, or follow the podcast

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