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 that you’ve uploaded or data collected directly from your digital shop) 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.
Learn from click patterns to increase your product catalogue’s discoverability and boost sales.
Use the purchase history of a particular customer to provide recommendations unique to that customer and personalise their experience.
The Recommendations API allows Allrecipes to harness the power of our billions of pieces of user-shared experiences to deliver highly personalised recipe solutions that answer busy families’ most pressing question, “What’s for dinner tonight?”.
We are able to do this with minimal investment due to the proven capabilities of the Cortana Analytics platform. This helps us to further realise our vision of providing highly personalised cooking inspiration for home cooks.
“By leveraging Cortana Intelligence Recommendations capabilities combined with Azure Machine Learning processing power, we have enabled retailers with a Personalized Commerce Experience, allowing them to grow shopper engagement and conversions across all channels.”
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