
Description
Sometimes customers love the product, but the fit or color is off. Instead of going through a full return-and-rebuy cycle, Yuma’s Support AI helps you handle product exchanges for size or color automatically, streamlining the whole experience. As soon as a shopper indicates they want an exchange, the AI checks availability, verifies order details, and kicks off a seamless swap process. It even issues new shipping labels when needed and updates the order status behind the scenes. By tying into your inventory and policies, Support AI ensures that if the requested size or color is in stock, the exchange happens right away, without unnecessary back-and-forth emails. Shoppers appreciate the speed and convenience, while your support team saves hours of manual effort. The result? A smoother path to the perfect product, leading to higher satisfaction and fewer abandoned carts in the long run.
User Example
A London-based fashion brand prides itself on trendy clothing items in multiple sizes and colors. While their collections are popular, they frequently hear from buyers who love the design but want to exchange for a different size or color. Handling these requests manually (verifying what’s in stock, sending return labels, and creating new orders) bogs down the support team and irritates customers who expect a quick fix.
Enter the Support AI product by Yuma, which allows the brand to handle product exchanges for size or color automatically. Now, if a shopper requests an exchange, like a scarf in a different shade, Support AI immediately checks the store’s real-time inventory to confirm availability. If it’s in stock, the AI initiates the exchange, generates a return label for the original item, and processes an order for the new item without any agent involvement. Shoppers receive a concise update with next steps, and the support team sees fewer repetitive exchange tickets. The result? A simplified, time-saving process that enhances customer satisfaction and frees human staff for more complex or personalized tasks.
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