Lowe's leverages AI to optimize its store layouts based on changing customer demands. Through AI systems, the retailer anticipates needs for items like seasonal plants, adjusting orders and in-store placements accordingly. For urgent needs, such as hurricane preparedness, AI predicts weather-related demand and adjusts inventory of critical supplies. This technology enhances shopping experiences, making them more engaging and navigable. A collaborative effort among staff ensures AI complements workers' roles, using real-world data to inform store layout improvements and customer preferences.
The home-improvement retailer is using AI systems to develop a greater understanding of fast-changing customer needs and expectations and to optimize its store layouts accordingly.
AI could predict growing demand for a certain type of seasonal shrub and increase its orders as interest rises, then place the plants in the most obvious in-store location.
Delivering a simpler, faster, and more fun physical retail experience requires large volumes of real-world data, like store traffic patterns and local preferences.
Chandhu Nair highlighted that the technology is allowing the store chain to create more immersive shopping experiences that are also easy and quick to navigate.
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