AI case study: Starbucks uses real-time recommendations to match people’s desires

Aug 15, 2021 | Artificial intelligence

This is an example of how retail and entertainment websites use neural networks to recommend additional products or content to customers.

The Starbucks AI looks at the customer’s past activity, the past activity of other customers, and hundreds of other factors – ranging from the time of day to the weather.

By understanding the patterns and correlations, it then suggests what could be relevant. And this can increase sales typically anywhere from 5% to 30% above the simpler methods.

Did you know Starbucks is boosting sales through AI-driven personalized product pairings?

All topics

Previous editions

Get email edition