Combating retail theft & fraud

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Shrink in retail, and extra particularly, theft & fraud elements, have lengthy been accepted as a price of doing enterprise. In the previous couple of years, we’ve seen each shopper and affiliate theft & fraud explode. To the purpose the place big-name retailers have closed increased danger shops which have been deemed unsustainable, as a result of ranges of loss. 

Some retailers, decided to remain in a selected market have taken the strategy of inserting almost all merchandise behind plexiglass, which leads to a very horrible buying expertise for customers, which can not assist flagging income and requires further employees to open and re-secure shows. In a time the place labor is without doubt one of the largest points within the trade, working in an atmosphere like that can’t assist to draw or retain associates.  

Talking at a retail trade occasion not too long ago, I quipped that I must cease referring to Loss Prevention, as a result of it actually doesn’t forestall something. As a substitute, we must always check with the standard strategy as Loss Recording, which evoked chuckles within the room.  

In the present day, Loss groups might make investments tens of hours reviewing video in an try to verify a suspicion that one thing nefarious might have occurred – it’s pricey and time consuming, and it has little or no impact on the issue. Lower than 1% of all video recordings are even reviewed, so retailers are paying to retailer all that content material too. Loss groups aren’t proof against the labor challenges both – loss is monitoring exponential development and the employees to research is lowering, creating an ever-widening hole. 

Energetic loss & fraud detection

So how will we transfer from passive loss & fraud recording to lively loss & fraud detection? Whereas we are going to by no means eradicate loss, we will take a chew out of sure varieties of loss – Integrating SmartCameras working video analytics with the Level of Sale permits us to make use of AI to assessment increased danger transactions, reminiscent of returns, voids, refunds, and reward card activations, amongst others, and “search for” suspicious behaviors on the time and placement of the transaction. For instance, flagging these transactions if there isn’t any buyer current in entrance of the counter. May there be circumstances the place there might not be a buyer proper there on the time? In fact. Nonetheless, if the system can establish the precise second the suspicious transaction occurred and flag that for human assessment, this enables the loss groups to be simpler and focused with the restricted labor out there. This strategy may also be used to search for different actions, reminiscent of under-scan, by reconciling the variety of objects positioned on the counter or belt with the variety of on the POS T-log to search for discrepancies. 

Whereas most retailers is not going to intervene when the theft is being perpetrated by a shopper, for apparent security causes, the intelligence it gives might permit the retailer to take mitigating actions, reminiscent of limiting self-check use in periods of the day or week, which have proven to have a better loss fee, forcing customers to make use of a staffed lane.  

Whereas this is not going to forestall all theft and fraud, we will begin to reduce the influence in some key areas and guarantee employees is being successfully leveraged – any measurable discount in what’s a $100Bn downside, might considerably transfer the needle on this downside. 


Try our use case on Portfolio Explorer for extra info. 


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