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This enables retailers to make data-driven decisions, improve forecasting accuracy, and enhance customerexperiences, while also reducing costs and boosting profits. Lossprevention: Employs advanced surveillance techniques to detect and prevent shoplifting. Here are the key areas to apply AI in retail.
Mobile POS empowers staff to check customers out in the aisle, to make the process even faster and more personal, and also easily enables new checkout points – for example at a pop-up, or in the parking lot for curbside pickup.
This level of interactivity and personalization enhances the overall shopping experience, making it more enjoyable and efficient for customers while increasing sales and brand loyalty for retailers. Retailers can analyze facial expressions to gain insights into customer emotions and reactions to products, displays, and store layouts.
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