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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.
Security and LossPrevention Ensuring the security of your retail store and merchandise is paramount. Outsourcing security and lossprevention services to professionals can significantly reduce the risk of theft, shoplifting, and inventory shrinkage.
Customer service operations – a unified retail POS is essential to delivering an optimal customerexperience across all channels. Loyalty information ensures customers are recognised in store as well as online; and ensures that promotions are 100% aligned with shopping preferences.
As counterintuitive as it is, we all know losses are an accepted norm in retailing. Factored into the bottom line, as sales increase for stores, so will the losses of product inventory. Lossprevention teams call this inevitable outcome “external shrinkage”. But is this a prime example of too much, too soon?
Many retailers expect to deploy lossprevention analytics (49%) and demand planning and forecasting (54%) by 2026. While omnichannel shopping causes challenges for retailers, most shoppers prefer options. The Zebra study indicates 36% of retailers believe better analytics on shrink could help drive profitability.
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