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Combating retail theft & fraud

Combating retail theft & fraud

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

Some retailers, decided to remain in a specific market have taken the method of putting almost all merchandise behind plexiglass, which ends up in a very horrible procuring expertise for shoppers, which can’t assist flagging income and requires extra workers to open and re-secure shows. In a time the place labor is likely one of the largest points within the trade, working in an setting like that can’t assist to draw or retain associates.  

Talking at a retail trade occasion lately, I quipped that I must cease referring to Loss Prevention, as a result of it actually doesn’t stop something. As an alternative, we must always consult with the standard method as Loss Recording, which evoked chuckles within the room.  

Right this moment, Loss groups might make investments tens of hours reviewing video in an try to substantiate 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 are usually not proof against the labor challenges both – loss is monitoring exponential progress and the workers to analyze is lowering, creating an ever-widening hole. 

Lively loss & fraud detection

So how will we transfer from passive loss & fraud recording to energetic loss & fraud detection? Whereas we are going to by no means eradicate loss, we are able to take a chunk out of sure forms of loss – Integrating SmartCameras working video analytics with the Level of Sale permits us to make use of AI to evaluate greater 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. Might there be circumstances the place there will not be a buyer proper there on the time? After all. Nevertheless, if the system can determine the precise second the suspicious transaction occurred and flag that for human evaluate, this permits the loss groups to be simpler and focused with the restricted labor accessible. This method will also be used to search for different actions, reminiscent of under-scan, by reconciling the variety of gadgets positioned on the counter or belt with the variety of on the POS T-log to search for discrepancies. 

Whereas most retailers won’t intervene when the theft is being perpetrated by a client, 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 the next loss charge, forcing shoppers to make use of a staffed lane.  

Whereas this won’t stop all theft and fraud, we are able to begin to reduce the influence in some key areas and guarantee workers is being successfully leveraged – any measurable discount in what’s a $100Bn downside, may considerably transfer the needle on this downside. 


Take a look at our use case on Portfolio Explorer for extra data. 



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