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That means asking questions like: What more can be done to deter theft using storelayout, customer flow, shelf height, mirrors, lighting and the placement of gondolas, merchandise and security cameras? What are the most customer-friendly ways to protect high-value items from smash-and-grabs? Incorporate new tech.
This enables retailers to make data-driven decisions, improve forecasting accuracy, and enhance customerexperiences, while also reducing costs and boosting profits. In-store enhancements Computer vision: Improves product displays and storelayouts to attract shoppers. Here are the key areas to apply AI in retail.
In pursuit of both goals, focusing on connected, data-driven technologies that can help meet high consumer expectations and support a safe and comfortable environment will help retailers not only enhance their customers’ experience, but also effectively deliver unified commerce services including BOPIS and curbside pickup.
Finding the right mix of time, budget, pricing, displays, and customerexperience can be a big challenge when forming a successful merchandising strategy. Often, merchandising includes things like creating a pricing strategy, display design and layout, lossprevention, and store upkeep.
Storelayout and design – the right storelayout can attract customers, enhance their experience and keep them in the store – brick and mortar or online. Customer service operations – a unified retail POS is essential to delivering an optimal customerexperience across all channels.
The recently published 2021 NRF Retail Security Survey revealed that almost 7 in 10 (69%) retail lossprevention and asset protection professionals said the pandemic has resulted in an increase in overall risk for their organization. This solution enhances personnel safety and ensures retail premises remain secure.
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 storelayouts.
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