One highly likely scenario is that retailers may 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 rich people data 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. 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.
Until then, these sites had poor returns when we looked for specific products in the past. AI-Based Inventory Control Another important feature that Google Cloud has included in its AI offering is “Shelf Inspection”. On Friday, Google CEO Sundar Pichai posted on his Twitter account that one of these new AI features would also "use machine learning models to identify numbers based on visual and textual characteristics.