Proven AI Tactics to Reduce Bracketing Behavior in Online Shopping
Online shopping continues to grow rapidly, but with this growth comes an equally concerning trend: bracketing behavior . Customers often purchase multiple sizes, colors, or styles of the same product with the intention of returning what doesn’t fit or meet expectations. While this practice gives shoppers confidence, it creates a heavy burden on retailers in terms of logistics, rising costs, and environmental impact. Fortunately, AI-driven returns analytics is emerging as a powerful solution to help retailers predict, prevent, and reduce bracketing behavior. By understanding customer intent, improving pre-purchase decision-making, and optimizing the post-purchase journey, retailers can transform bracketing from a costly challenge into a manageable, data-driven opportunity. What Is Bracketing Behavior? Bracketing in e-commerce refers to when shoppers order multiple variations of a product - like three different shoe sizes or two shades of the same jacket - planning...