Accessories Customer Experience Loss Prevention 
Retail TouchPoints
AUGUST 13, 2024
Early use cases for AI in retail include inventory management, dynamic pricing, customer service chatbots, loss prevention and personalized marketing. Examples can include customer service escalations, product recommendations for high-involvement purchases, new product introductions and other more complicated tasks.
Inside Retail
FEBRUARY 22, 2023
These integrated AI capabilities simplify the deployment and adoption of sophisticated machine learning algorithms to assist shoppers and improve loss prevention. Retail checkout is quickly transitioning from traditional front-end checkouts to those with more emphasis on customer self-service.
Inside Retail
AUGUST 17, 2023
Customer theft has long been recognised as retailers’ primary source of loss, accounting for about half of all crime-related losses. As a result, substantial investment and effort have been dedicated to this issue by Loss Prevention (LP) teams.
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