Starbucks: Using Big Data, Analytics And Artificial Intelligence To Boost Performance

D0740959 李易錩 Louie


Starbucks relies on big data, artificial intelligence (AI) and analysis to guide and create a personalized customer experience, conduct targeted marketing and personalized marketing, set up new branch locations and expand the product mix of stores to grocery stores, etc. Provide virtual coffee shop assistant service, flexible and flexible menu adjustment, strengthen business performance, and attract customers to continue to return.
According to the Forbes article, Starbucks has 90 million transactions per week in 25,000 stores worldwide, and the Reward program and mobile app each have 13 million and 17 million active users, which will generate consumer items, locations, time, etc. Big data that can be associated with other materials such as weather, holidays, and special prices.
Starbucks' digital flywheel program uses sophisticated cloud AI engines to analyze this data and provide customers with personalized experiences, including the delivery of general birthday specials, personalized exclusive offers and discounts, based on customer preferences, holidays or weekdays, location, weather of the day And other information to recommend related new products and offers.
In addition, Starbucks will send e-mails to customers who have not visited for a long time, containing attractive offers based on their past purchase records, to attract regular customers to return to the store for consumption. The POS system in the store can identify the customer's identity from the smartphone and notify the clerk of the customer's preference. Customers can use voice commands or messages to order goods through the AI ​​virtual store clerk in the mobile app. The AI ​​engine can identify many subtle differences in individual orders and provide a seamless customer experience.

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