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Use contextual information and third party data to improve your recommendations


Have you noticed that your shopping preferences are influenced by the weather? For example, on hot days would you rather drink a lemonade vs. a hot coffee?
Customers from consumer-packaged goods (CPG) and retail industries wanted to better understand how weather conditions like temperature and rain can be used to provide better purchase suggestions to consumers. Data was taken over a year long period. Based on observations like demand for refreshing beverages increasing on hot days, customers want to enrich their Amazon Personalize models with weather information.
In December 2019, AWS announced support for contextual recommendations in Amazon Personalize. This feature …

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