US US20260236956A1

Method, System, and Computer Program Product for Asset Valuation with Behavioral Feedback Integration Using Multi-Stage Orchestration

Abstract

A computer-implemented system for real-estate valuation, integrating multi-price prediction models, seller-guidance generation, and skill-based prediction gameplay is disclosed. The system aggregates heterogeneous data including listing attributes, photos, market signals, and user inputs, processed by AI to produce accurate valuation forecasts. The valuation engine employs real-time data and historical trends to predict Days on Market (DOM), optimizing pricing strategies. The game-based component allows users to make mock bids on properties, with outcomes resolved based on actual sale prices. Data from both the market and user interactions continuously refine the system's predictive accuracy and educational content. This invention provides a dynamic, interactive tool for understanding real estate value through continuous feedback loops, ensuring real-time accuracy and actionable insights.

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