20240037651. CRYPTOGRAPHIC LENDING ASSET TRANSACTION INTELLIGENT NEGOTIATION ASSISTANT SYSTEM AND METHOD THEREOF simplified abstract (Celligence International LLC)

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CRYPTOGRAPHIC LENDING ASSET TRANSACTION INTELLIGENT NEGOTIATION ASSISTANT SYSTEM AND METHOD THEREOF

Organization Name

Celligence International LLC

Inventor(s)

Pavan Agarwal of DORADO (PR)

Gabriel Albors Sanchez of SAN JUAN (PR)

Jonathan Ortiz Rivera of SAN JUAN (PR)

CRYPTOGRAPHIC LENDING ASSET TRANSACTION INTELLIGENT NEGOTIATION ASSISTANT SYSTEM AND METHOD THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240037651 titled 'CRYPTOGRAPHIC LENDING ASSET TRANSACTION INTELLIGENT NEGOTIATION ASSISTANT SYSTEM AND METHOD THEREOF

Simplified Explanation

The patent application describes a system and method for providing negotiation assistance to borrowers in a blockchain environment. Here is a simplified explanation of the abstract:

  • The system receives input from borrowers through a conversation interface in an application.
  • The input is converted to identify borrower information.
  • A machine-learning model is applied to the borrower input to determine borrower objectives.
  • Based on the borrower objectives, the system generates a lending product recommendation with an explanation for the determination.

Potential Applications:

  • Financial institutions can use this system to assist borrowers in securing lending products within a blockchain environment.
  • The system can be integrated into existing applications or platforms to provide negotiation assistance to borrowers.

Problems Solved:

  • The system solves the problem of borrowers needing assistance in navigating lending products offered by lenders within a blockchain environment.
  • It addresses the challenge of converting borrower input into borrower information and determining borrower objectives accurately.

Benefits:

  • Borrowers can receive personalized lending product recommendations based on their objectives, improving their chances of securing suitable loans.
  • The system automates the process of identifying borrower objectives, saving time and effort for both borrowers and lenders.
  • It provides transparency and explanations for lending product determinations, enhancing trust and understanding between borrowers and lenders.


Original Abstract Submitted

methods and processes can include negotiation assistance to the borrower in the context of attempting to secure a lending product offered by a lender within a blockchain environment. in some embodiments, the system may receive borrower input within a conversation interface of an application and convert the input to identify borrower information. further, the system may apply a first machine-learning model to the borrower input to determine at least one borrower objective. finally, the system may generate a lending product recommendation including an explanation for the lending product determination.