Artificial Intelligence-Based Decision-Assisting System and Method

An artificial-intelligence-based decision-assisting system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium storing executable instructions that, when executed by the processor, cause the processor to:
• receive, from at least one user device, a set of decision parameters and associated user-defined weighting factors representing relative importance of each parameter;
• retrieve, from a plurality of databases comprising a behavioral-data database, a historical-data database, an external-context database, and a scoring-criteria database, system-defined weighting factors derived from at least one of behavioral, historical, and external contextual data;
• compute, by a scoring engine, a composite decision score for each of a plurality of candidate options based on the user-defined weighting factors and the system-defined weighting factors;
• rank the candidate options according to the composite decision scores;
• iteratively update at least one of the system-defined weighting factors or the ranking in response to feedback data generated during user interaction or outcome evaluation;
• dynamically restrict data retrieval to subsets of parameters relevant to an active evaluation cycle to reduce data-access latency and improve computational throughput relative to static data-matching systems;
• and
• generate, for display on the user device, a ranked list of suggested options configured to assist a user in making a decision.