System and Method for a Dynamic Set of Validation Check-Points in Real Property Transactions Based on Score Parsing
AssigneeReobe, Inc.
InventorAmit Bansal
Life of this patent
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Abstract
Automated valuation model and various prior art incorporate a mathematical model with data sets for standardizing a valuation for real property for various applications. The invention described in the application generally describes systems and methods for validating real property transactions. More particularly, and without any limitations, embodiments of the present disclosure relate to a dynamic and reconfigurable set of check-points for a real property transaction based on a score generation and parsing. Furthermore, the present disclosure relates to matching, tagging and payment of the listed property between the purchasers and listers, with the aid of a list engine and purchase engine, over a network.
Claims20
A system for generating a dynamic set of validation check-points for real property transactions based on a parsed score, said system comprising:
- a list engine, wherein said list engine comprises at least one of a listing, lister profile, listing criteria, and a lister payment agent;
- a purchase engine, wherein said purchase engine comprises at least one of a purchaser profile, purchasing criteria, and a purchaser payment agent;
- a weight index generator;
- a confidence score generator;
- a validation matrix;
- a processor;
- a storage element coupled to the processor;
- encoded instructions;
- wherein the system is configured to:
- assign a learned weight score to at least one individual criteria from at least one of a matched listed property, matched lister profile, and, or matched purchaser profile from any one of the list engine and, or purchase engine by the weight index generator;
- apply a learned raw score as a function for each weighted individual criteria to generate a weighted criteria score for each individual criteria, and aggregating said criteria scores to generate a confidence score for each impending transaction by the confidence score generator;
- parse a threshold-above confidence score for each impending transaction for threshold-above weighted criteria score and any one of a threshold-above raw score indicating a positive key performance indicator (KPI) and, or a threshold-below raw score indicating a negative KPI by the validation matrix, and wherein said validation matrix dynamically suggests any number or any type of validation check-points for each impending transaction based on at least one of the threshold-grade confidence score, positive KPI, and, or negative KPI.
A system for generating a dynamic set of validation check-points for real property transactions based on a parsed score, said system comprising a processor, a storage element coupled to the processor, encoded instructions, wherein the system is configured to:
- assign a learned weight score to at least one individual criteria;
- apply a learned score as a function for each weighted individual criteria to generate a criteria score;
- match a purchaser/lister based on the homologous criteria score via the matching module;
- aggregate the criteria score to generate a confidence score for a given transaction;
- parse a threshold-above confidence score for any one of a positive indicator and, or threshold-below confidence score for any negative indicator for each impending transaction;
- and
- further cause the set of validation checkpoints to adapt, reflecting at least one of the positive indicator and, or negative indicator parsed from the threshold-above confidence score.
A method for generating a dynamic set of validation check-points for real property transactions, said method comprising the steps of:
- assigning a learned weight score to at least one individual criteria from at least one of a matched listed property, matched lister profile, and, or matched purchaser profile from any one of a list engine and, or a purchase engine by a weight index generator;
- applying a learned raw score as a function for each weighted individual criteria to generate a weighted criteria score for each individual criteria, and aggregating said criteria scores to generate a confidence score for each impending transaction by a confidence score generator;
- and
- parsing a threshold-above confidence score for each impending transaction for threshold-above weighted criteria score and any one of a threshold-above raw score indicating a positive key performance indicator (KPI) and, or a threshold-below raw score indicating a negative KPI by a validation matrix, and wherein said validation matrix suggests any number or any type of validation check-points for each impending transaction based on at least one of the threshold-grade confidence score, positive KPI, and, or negative KPI.
Dependencies are inferred from the claim text.