How can automation help you increase your average basket value?

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Personalized product recommendations can be very effective in encouraging customers to buy more products. Our recommendation frames analyze customer behavior data – such as previous purchases and products viewed. They then use this data to recommend products that should interest that person. As a result, you can make your customers buy more products.

Our recommendation frames can be integrated with Vertex AI to further enhance their effectiveness. Here you have several options to choose from. You can use our frames to display product recommendations in different chinese overseas canada database places on your website (e.g. on the home page, on product cards, or on the shopping cart page):

Others you may like: This feature predicts the next product a user is most likely to be interested in (or even purchase) based on that user's purchasing and browsing history.
Frequently bought together: Predicts products that are frequently purchased together in one shopping session.
Recommended for you: Predicts the next product that the customer is most likely to buy or at least be interested in. This recommendation is usually used on the home page.
Similar items: Predicts other products with attributes similar to the product you are considering. This type of recommendation is useful on product pages.