Recommend items your customers want

Learn from previous transactions to predict which items are more likely to be of interest to or purchased by your customers. Built using Azure Machine Learning, the Recommendations engine uses customer data-either past customer activity you've uploaded or data collected directly from your digital store-to offer recommended items for your customers and increase conversion rates.

Frequently bought together

Automatically recommend items on your product page that are likely to be consumed together in the same transaction.

Increase discoverability

Learn from click patterns to increase your product catalog's discoverability and boost sales.

Personalized recommendations

Use the purchase history of a particular customer to provide recommendations unique to that customer and personalize their experience.

Legal Notice

Microsoft will use data you send to the Cognitive Services to improve Microsoft products and services. For example, we will use content that you provide to the Cognitive Services to improve our underlying algorithms and models over time. Where you send personal data to the Cognitive Services, you are responsible for obtaining sufficient consent from the data subjects. The General Privacy and Security Terms in the Online Services Terms do not apply to the Cognitive Services.

Please refer to the Microsoft Cognitive Services section in the Online Services Terms for details.

Note: Microsoft offers policy controls that may be used to disable new Cognitive Services deployments. Learn more