Sprinklr, Inc.

Ragy Thomas

Jared Alessandroni

Pavitar Singh

Murali Swaminathan

Xin Feng

A system and method that enables usage of data embedded inside social media data to help estimate buy intent (BI), to allow companies or organizations to utilize this information to track conversations about their brand, to engage with their customers/users, to conduct advisement and investment efficiency analysis, to manage and reduce potential risk, and identify the factors that may affect company sales and revenues.

Buy intent estimation and its applications for social media data

An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

IRC-Infoid data standardization for use in a plurality of mobile applications

IRC-infoid data standardization for use in a plurality of mobile applications

A mobile 'Applications Builder' established on the user's mobile handheld device creates a bucket or container for mobile applications (Apps) and selectively downloads applications that are appropriate to a search initiated by the consumer. The user search inputs are used as a contextualization input to identify the relevant product, service or brand and identify the Apps of companies that fall within the search parameters. The identified Apps are downloaded into a bucket and made available to the user to enable his search using tokens or logos for the products, services and brands he is interested in. Users can perform searches using scanned visual logos or visual tokens scanned. Visual tokens and logos contained within the bucket can be used to reduce the customer's effort during the search, while providing enlarged access to related items for consideration by the user as a marketing tool.

Mobile application builder program and its functionality for application development, providing the user an improved search capability for an expanded generic search based on the user's search criteria

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New York, NY, United States of America

Ragy Thomas