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Patent Application for Integrating Metadata into CRM Systems Revealed

Strategic Insights

— 1 min read

A patent application filed by International Business Machines Corporation has uncovered a method for integrating metadata from social networking applications into Customer Relationship Management (CRM) systems. The inventors, Jorge A. Arroyo, Stephen P. Kruger, Luciano Silva, and Patrick J. O'Sullivan, aim to improve CRM system functionality by incorporating metadata from social networking platforms. This integration enables businesses to better target customers, analyze opportunities, and infer relationships between clients, structures, and subject matter experts.

Key Takeaways:

  • The patent application proposes a method for integrating metadata from social networking applications into CRM systems, enhancing CRM functionality.
  • The method involves obtaining metadata from social networking applications, analyzing it to infer opportunities and relationships, and integrating the insights into the CRM system.
  • The inventors also describe a system comprising an obtaining engine, analyzing engine, integrating engine, and updating engine to manage the metadata integration process.
  • The patent application includes detailed diagrams and flowcharts illustrating the system and method, such as FIG. 1, FIG. 2, and FIG. 3.
  • The integration of metadata from social networking applications allows businesses to populate their CRM systems with more comprehensive and accurate customer information.

Statistics:

  • File date for the patent application: May 19, 2014
  • Publication date for the patent application: November 26, 2015
  • The patent application was filed by International Business Machines Corporation

Sources:

  • Arroyo, Jorge A.; Kruger, Stephen P.; Silva, Luciano; O'Sullivan, Patrick J. Integrating Metadata from Applications Used for Social Networking into a Customer Relationship Management (Crm) System. Filed May 19, 2014 and posted November 26, 2015. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=2622&p=53&f=G&l=50&d=PG01&S1=20151119.PD.&OS=PD/20151119&RS=PD/20151119

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