You've noticed that the frequently bought together (FBT) recommendations on Wayfair or Home Depot seem a bit wacky, suggesting items that don't necessarily match what you're looking for. This phenomenon can occur due to various reasons such as the algorithm being overworked or not well-tuned, or simply because certain everyday items are naturally paired together. However, if implemented correctly, FBT recommendations can be a powerful tool to boost conversions and increase ROI by suggesting complementary products that enhance the shopping experience. To achieve this, retailers need to fine-tune their FBT strategies, balancing popular items with less frequent but compatible ones, and leveraging tools like Algolia Recommend to streamline the process.