Block, Inc.

Sagnik Mazumder

Mohsen Sardari

Khilesh Mistry

Jonathan Lamberts

Anna Bloom

Ran Lin

A payment service system receives contextual information regarding an interaction between the payment service and a user device associated with a user. A propensity metric for the user is determined based at least in part on inputting the contextual information into a machine learning (ML) model. Based on the propensity metric, a user interface is dynamically configured to comprise user interface elements arranged in a layout personalized for the user, where a user interface element represents content particular to a service offered by the payment service. Based on receiving an interaction with the user interface element, a booklet is launched corresponding to the service with which the user interface element is associated.

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Belmont, CA, United States of America

Sagnik Mazumder