Avatria Engage

Avatria’s Vanity URL capability gives business users the ability to solve these issues by providing full control over the structure of your URLs.

Avatria's URL Canonicalization feature forces a search engine to treat related URLs as a single product, leading to higher page ranks and improved organic search placement.

Avatria Engage has implemented schema.org, a Microdata standard, into relevant eCommerce templates, ensuring that search engines can display attractive content in listings for all your pages.

Avatria Engage uses machine learning to create personalized product lists in categories and search results. By studying shopping behavior, product data, and user demographics, Avatria Engage determines what the shopper is most likely to purchase, and pushes the best products to the top of the page.

Avatria Engage uses machine learning to automatically generate personalized recommendations. With multiple carousel types available, such as “You May Also Like,” “Similar Products,” and “Most Popular,” cross-selling and upselling on SAP Commerce has never been easier. Avatria Engage makes it painless to display recommendations anywhere on your site.

Avatria Engage provides actionable business intelligence without needing a data science team. Advanced dashboards like Relevance Analysis, Key Metrics, and Anomaly Detection help you identify where your site needs help, and make it simple to track progress.