Intuit, Inc.

Ojas R Sitapara

Ronald Jason Char

Susan A Harman

Abraham Zafar

Preetam Kumar Ojha

Ravindra Bindumadhav Kulkarni

Anqi Chen

Daniel Edward Reeves

Disclosed are methods, systems, and articles of manufactures for analyzing user generated content items in social media networks with trained intelligent systems to create or enhance direct marketing opportunities. The method or the system monitors user generated content items in social media networks and identifies a relevant user generated content item that may be materialized into a direct marketing opportunity. The method or system further performs language processing on the relevant user generated content item and uses the processing results to prepare a response which is subsequently transmitted to the user to materialize the direct marketing opportunity. The method or system uses various intelligent logic processes or modules that may be further enhanced by machine learning techniques with human expert reviews and intervention to improve their respective accuracy, reliability, or confidence level.

Methods, systems, and articles of manufacture for analyzing social media with trained intelligent systems to enhance direct marketing opportunities

Visually presenting spending behavior, spending patterns, and spending activity to a consumer across of their all receipt based purchase transactions. Receipt data is received at a first or host computer from respective transaction processing devices or host systems of respective merchants, or received from self-service action of the consumer, and identifies respective goods or services purchased by the consumer. A user interface is displayed to the consumer and comprises a thumbnail arrangement of discrete objects, each of which represents respective receipts generated by respective transaction or transaction processing devices. A discrete object may comprise data of one or multiple goods or services and includes category indicators that visually inform the consumer about the type of good or service. Embodiments may also involve requesting receipt data utilizing a mobile communication device, searching receipt data collected by the computer and responding to the request with requested receipt data.

Receipt visualization and receipt data applications

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San Diego, CA, United States of America

Ojas R Sitapara