Real Estate Tour Analytics Using Visitor Position and Orientation Data
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Solution Overview
Problem
The real estate industry faces inefficiencies in data collection and analysis of consumer preferences due to labor-intensive in-person tours, leading to flawed decision-making and significant time and money losses, particularly in residential and commercial property transactions.
Innovation Solution
A computerized system utilizing user-assigned mobile devices for self-guided property tours, combined with AI and LLMs, to track user interactions, preferences, and provide personalized recommendations, enabling data aggregation and analysis for improved decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If in-person property tours are conducted to collect consumer preference data, then data collection is possible, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent creates virtual copies of physical properties through digital twins and virtual reality environments. These digital replicas capture spatial layouts, design elements, and property characteristics, allowing consumers to interact with and evaluate properties remotely without physical travel, thereby collecting preference data efficiently while eliminating time loss from in-person tours
Solution Approach 2:
The patent replaces the mechanical system of in-person physical tours with automated digital interactions. AI agents and virtual reality platforms substitute human-guided walkthroughs, automatically tracking consumer behavior, eye movements, and interaction patterns within virtual property environments to collect preference data without the time cost of physical travel and manual observation
2Loss of information
If in-person property tours are conducted to collect consumer preference data, then data collection is possible, but labor costs and operational complexity increase
Solution Approach 1:
The patent implements self-service mechanisms where consumers independently interact with virtual property tours using their own devices. The system automatically captures interaction data, eye tracking information, and preference signals without requiring human operators to guide or observe each tour, thereby collecting comprehensive preference data while reducing operational complexity and labor requirements
Solution Approach 2:
The patent incorporates real-time feedback loops where consumer interactions with virtual properties are automatically tracked, analyzed, and used to refine preference models. AI systems process behavioral data continuously, providing immediate insights into consumer preferences without manual intervention, thus collecting accurate preference data while simplifying operational processes through automated analysis
3Productivity
If traditional real estate analysis methods are used, then decision-making can proceed, but decisions are based on insufficient data and hunches leading to flawed outcomes
Solution Approach 1:
The patent introduces AI agents and analytical platforms as intermediaries between consumer interactions and decision-making processes. These intermediaries systematically collect, aggregate, and analyze preference data from virtual tours, transforming raw behavioral signals into actionable insights with high measurement precision, thereby enabling fast decision-making based on accurate data rather than hunches
Solution Approach 2:
The patent performs preliminary data collection and analysis through virtual tours before actual real estate transactions occur. By gathering and analyzing consumer preference data in advance through controlled virtual environments, the system prepares accurate preference profiles and insights beforehand, enabling rapid decision-making with high data accuracy when actual transactions proceed
Data Source
AI summary
Computerized system and method of obtaining and analyzing data on how large numbers of real estate visitors view and interact with real estate property. The system, which may operate during either real-world or virtual real estate tours, may utilize data from either property-associated sensors or user mobile device sensors (e.g., smartphone sensors) to obtain and aggregate visitor position and/or orientation data with respect to various designated locations of interest on the property. This can be used to produce statistics on visitor positions and/or orientations with respect to such locations. The resulting data can be used for various purposes, including as input to LLM AI systems for automated real estate recommendations and information about various real estate features associated with below or above-average visitor interest or approval. Various methods to encourage use, such as self-guided real-world tours, virtual staging, and virtual goods and services, are also discussed.