Smart Merchandising: AI Agents That Optimize Product Mix and Shelf Space

Imagine walking into a supermarket where every aisle seems perfectly stocked with products you want. No empty shelves, no clutter of unpopular items. Behind this seamless experience is a complex decision-making process about what products to offer and how much space they deserve. For retailers, these decisions are tough and often based on guesswork or outdated information. But AI agents are changing that. By analyzing large amounts of data and continuously learning, these tools optimize product mix and shelf space in ways that were impossible before. This article explores how AI helps retailers make smarter choices, reduce waste, and meet customer demand more effectively.