Google Cloud presented a series of tools for merchants to take advantage of artificial intelligence in their stores, optimizing several of their processes and improving their business conditions.
The focus of these options is not only thinking about physical points, but also about offering digital alternatives for online sales and improving customer experiences on these platforms.
In total there are four tools that the company revealed, which were announced at the global event NRF 2023which is the largest in the retail industry where the advances and trends of the sector are shown.
Intelligent shelf verification
Shelf Checking AI is the name of this tool, which allows “identifying different types of items, their characteristics and other factors to facilitate exposure” on the store’s shelves, which generates better organization, location and supply of products.
For its operation, artificial intelligence uses the database of Google about people, places and objects, thus recognizing billions of products and ensuring that the business is well stocked.
Combine two machine learning models. On the one hand, that of recognizing articles and also recognizing labels that distinguish them. Information that it collects by taking photos from different angles, which can be obtained from a camera on the ceiling, a cell phone or a robot that walks the corridors of the premises.
For now Self Checking AI It is now available in preview globally.
digital counters
Another function is Browse AIwhich allows you to identify which are the appropriate products to show a certain person when choosing a category or type of product.
For example, if the user searches for ‘kitchen utensils’, the tool analyzes the previous experience and their behavior in the history to display the results.
“This translates into significant improvements in revenue per site visit and allows retailers to save time and resources manually curating their virtual galleries,” the company reported.
Browse AI It is now available worldwide in 72 languages, including Spanish.
It may interest you: How to beware of data-stealing malware in Google search ads
Search and navigation customization
Unlike the previous option, this artificial intelligence is applied only to the store’s website, taking the user’s browsing and search data there, such as clicks, cart and previous purchases to determine the taste and preferences of each buyer. It is not tied to any other account activity Google.
AI Personalization It is now generally available globally.
Updates in the recommendation system
By last, AI Recommendations It has new functions to “improve suggestions to users and offer more personalized experiences in online stores.” They are the following:
– Revenue optimization: a machine learning model that combines merchandise categories, item prices, e-commerce customer clicks and conversions with the goal of improving long-term shopper satisfaction.
– Model return-to-buy: a feature that leverages purchase history to provide personalized recommendations for new purchases.
– Page level optimization: It allows you to modify the product recommendation panels for each buyer in a personalized way, which improves the interaction of users with the store.
Keep reading:
