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My Starbucks Barista

Starbucks has launched Green Dot Assist, an AI-powered virtual assistant for baristas to streamline operations and enhance customer interactions, currently piloted in 35 stores. The Deep Brew AI platform personalizes customer experiences by analyzing data from over 17 million app users, enabling tailored recommendations and efficient backend operations. Netflix employs AI for its recommendation system, which drives over 80% of content views, analyzes user behavior for personalized content, and optimizes streaming quality to enhance user engagement.

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Ananya Vinod
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53 views2 pages

My Starbucks Barista

Starbucks has launched Green Dot Assist, an AI-powered virtual assistant for baristas to streamline operations and enhance customer interactions, currently piloted in 35 stores. The Deep Brew AI platform personalizes customer experiences by analyzing data from over 17 million app users, enabling tailored recommendations and efficient backend operations. Netflix employs AI for its recommendation system, which drives over 80% of content views, analyzes user behavior for personalized content, and optimizes streaming quality to enhance user engagement.

Uploaded by

Ananya Vinod
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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STARBUCKS

Starbucks has introduced Green Dot Assist which is an AI


powered virtual assistant designed to build baristas. It is
available on in-store iPads and this tool enables staff to quickly
access essential information such as beverage ingredients or
guidance through instant conversational responses thus
eliminating the need to consult manuals. This helps in
streamlining operations, reducing friction and giving barista
confidence, allowing them to focus more on delivering
personalized service and meaningful customer interactions.
Currently piloted in 35 stores, it reflects Starbucks’ broader
strategy to use AI for enhancing internal communication and
frontline support.
Through its Deep Brew AI platform, Starbucks leverages data
from over 17 million app users to personalize customer
communication at scale. This helps in providing personalize
customer experience for example a customer with the
Starbucks app can walk into any store even if it’s not their
regular joint and still be greeted by their name and offered
their favourite drink hence better customer interaction. The
system analyses customer preferences, order history,
geolocation, and even weather trends to deliver targeted
personalized recommendations, promotions, and real-time
notifications via app and in-store systems. Its personalization
engine, My Starbucks Barista, can anticipate favourite orders
and inform baristas accordingly, creating a seamless
experience. Deep Brew also supports backend operations like
inventory planning and staffing, freeing employees to engage
more meaningfully with customers. Starbucks has also installed
AI enabled smart coffee makers and equipment to streamline
the beverage preparation processes helping in reducing wait
times and improving customer experience.

NETFLIX
One of Netflix’s most influential uses of artificial intelligence is
its personalized recommendation system, which is responsible
for over 80% of the content watched on the platform. Netflix
leverages sophisticated AI and machine learning models to
analyse user behaviour and tailor content suggestions with
remarkable precision thus resulting in retaining users.
1) Netflix uses AI to personalize communication with users
through its recommendation algorithms, which influence
what content is promoted via in-app banners, email alerts,
and push notifications.
2) Netflix uses AI models to analyse every user interaction-
what they watch, how long they watch and when they
pause or stop, what they skip and even device type. And
each profile is evolved dynamically based on real time
inputs.
3) It uses AI models to anticipate bandwidth fluctuations by
analysing user specific historical data as network type,
location, time of the day. This helps pre buffer content and
avoid mid-stream interruptions thus keeping the users
engaged.
4) Use of AI to translate subtitles precisely with audio,
ensuring readability and proper pacing.
5) Uses a trained AI model to predict the likelihood of
engagement using thumbnail. For example, a user who
frequently watches romantic comedies may be shown a
thumbnail showing emotional connection.

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