The main purpose of these solutions is to reduce search abandonment, improve shopping experience, and increase conversion rates. Note that I mentioned "within its properties" above. that's right! I’m not referring to the SERP results, but rather the browsing experience the e-commerce website itself may provide. How about it? Well, allow me to explain everything you need to know about artificial intelligence for retailers. Improving the shopping experience on January 13, highlighting that the solution significantly improves the shopping experience using: Image attributes that help find products Understanding user behavior through previous browsing experiences.
One highly likely scenario is that retailers may rcs data provide consumers with more personalized product listings that closely align with their true expectations. What we see now are usually product classification lists. The classification method focuses more on business needs, highlighting "best sellers" or product collections based on seasons, seasonal changes, etc. This does not always represent the needs of users and what they want to buy.
State of Marketing Report 2024 Product recommendations will also have a more dynamic presentation, which can be more effective, thereby increasing sales opportunities. See the case of Macy’s, which is already using this solution to leverage artificial intelligence for the retailer and provide customers with a more personalized experience in their online store. Macy's delivers personalized shopping experiences with Google Cloud Discovery solution (Source: Google Cloud YouTube channel) Additionally, I also believe we can expect better results for "long tail" searches because AI can better understand them.