Recommendations API

Predict what your customers want and increase catalog discoverability

Recommendations API Preview will end on 15th February 2018 - Instead try the Recommendations Solution template. Create predictive models for product recommendations using historical transaction data and product catalogue information. Learn more.

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 have 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.

Personalised recommendations

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

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Ready to supercharge your app?