Real-time personalization and recommendation | Amazon Personalize | AWS
source link: https://aws.amazon.com/personalize/?nc2=h_ql_prod_ml_per
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Real-time personalization and recommendation
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Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required.
Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Amazon Personalize is a fully managed machine learning service that goes beyond rigid, static rule-based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail and media and entertainment.
Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models. You will receive results via an Application Programming Interface (API) and only pay for what you use, with no minimum fees or upfront commitments. All data is encrypted to be private and secure, and is only used to create recommendations for your users.
“We don’t consider ourselves machine learning experts, but found Personalize to be straight forward and the integration was complete in a few days. For one of our clients, a premier European football club with millions of fans globally, we immediately increased video consumption by 20% across their website and mobile app”
Wyndham Richardson, Managing Director & Co-Founder
Pulselive
“Using Amazon Personalize we have automated tailored recommendations starting on every user’s first day within the apps, resulting in a 15% increase in retention amongst these users. Furthermore, by reducing our dependency on our home grown personalization tool, we have reduced our development time by 53%, enabling our teams to focus on the next set of opportunities to further improve experiences for our customers.”
Robin Mizreh, Technical Lead
Voodoo
"With Amazon Personalize integrated into our platform, we have enabled our clients to maintain a +24% increase in clicks on the recommended videos tray compared to the curated or auto generated trays of content. Even more, our cost and data science resources required to train our own custom machine learning recommendation models and scale to millions of users have significantly reduced."
Manik Bambha, Co-founder & President
ViewLift
“With Amazon Personalize, we were able to quickly design and launch a recommendation engine for Intuit’s Mint budget tracker and planner app. Using customer profile and behavioral data, with machine learning, the service helps deliver the right financial offer to the right customer at the right time, based on their spending habits, lifestyle, and goals.”
Qiang Zhu, Director of Data Science
Intuit
“By using Amazon Personalize, we have seen a 5x increase in response to recommended products compared to our prior big data analytics solution resulting in increased revenue per month. In particular, Amazon Personalize has increased the number of products that the customer has never purchased before up to 40%."
Jaehyun Shin, Big Data Team Leader
Lotte Mart
“We don’t consider ourselves machine learning experts, but found Personalize to be straight forward and the integration was complete in a few days. For one of our clients, a premier European football club with millions of fans globally, we immediately increased video consumption by 20% across their website and mobile app”
Wyndham Richardson, Managing Director & Co-Founder
Pulselive
“Using Amazon Personalize we have automated tailored recommendations starting on every user’s first day within the apps, resulting in a 15% increase in retention amongst these users. Furthermore, by reducing our dependency on our home grown personalization tool, we have reduced our development time by 53%, enabling our teams to focus on the next set of opportunities to further improve experiences for our customers.”
Robin Mizreh, Technical Lead
Voodoo
"With Amazon Personalize integrated into our platform, we have enabled our clients to maintain a +24% increase in clicks on the recommended videos tray compared to the curated or auto generated trays of content. Even more, our cost and data science resources required to train our own custom machine learning recommendation models and scale to millions of users have significantly reduced."
Manik Bambha, Co-founder & President
ViewLift
“With Amazon Personalize, we were able to quickly design and launch a recommendation engine for Intuit’s Mint budget tracker and planner app. Using customer profile and behavioral data, with machine learning, the service helps deliver the right financial offer to the right customer at the right time, based on their spending habits, lifestyle, and goals.”
Qiang Zhu, Director of Data Science
Intuit
“By using Amazon Personalize, we have seen a 5x increase in response to recommended products compared to our prior big data analytics solution resulting in increased revenue per month. In particular, Amazon Personalize has increased the number of products that the customer has never purchased before up to 40%."
Jaehyun Shin, Big Data Team Leader
Lotte Mart
“We don’t consider ourselves machine learning experts, but found Personalize to be straight forward and the integration was complete in a few days. For one of our clients, a premier European football club with millions of fans globally, we immediately increased video consumption by 20% across their website and mobile app”
Wyndham Richardson, Managing Director & Co-Founder
Pulselive
Benefits
Personalize every touchpoint along the customer journey
Amazon Personalize easily integrates into your existing websites, apps, SMS, and email marketing systems to provide a unique customer experience across all channels and devices, eliminating high infrastructure or resource costs. Amazon Personalize provides flexibility for you to use real-time or batch recommendations based on what is most appropriate for your use case, enabling you to deliver a wide variety of personalized experiences to customers at scale.
Amazon Personalize for Retail
Learn how Lotte Mart is using Amazon Personalize to enable over 600,000 users to save on their in store shopping experience.
“By using Amazon Personalize, we have seen a 5x increase in response to recommended products compared to our prior big data analytics solution, resulting in increased revenue per month. In particular, Amazon Personalize has increased the number of products that the customer has never purchased before up to 40%. The new recommendation service powered by AWS is the first of a much broader roll-out of AI technologies across our organization.“
Amazon Personalize for Media and Entertainment
Customer Stories
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