ML Home Comparison System for Builder Decision Consistency
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Solution Overview
Problem
Production home builders underutilize data in their operations, leading to inefficient decision-making, inconsistent use of data, and ineffective management of home construction and sales processes.
Innovation Solution
The development of data-driven systems and methods that utilize machine learning and artificial intelligence to process data from disparate sources, providing automated performance analysis and actionable recommendations to optimize home builder performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If production home builders rely on agents' judgment and manual data review to make decisions, then human expertise and flexibility are utilized, but decision-making time increases and performance consistency deteriorates
Solution Approach 1:
The patent replaces the mechanical system of manual data review and human judgment with an automated computerized system that collects, processes, and analyzes data from multiple sources. This system generates actionable insights and recommendations without requiring agents to manually review data sources, thereby maintaining decision consistency while reducing response time.
Solution Approach 2:
The system enables self-service by automatically collecting data from disparate sources, processing it through analysis algorithms, and generating insights without requiring human intervention. The computerized tool independently performs data collection, analysis, and recommendation generation, freeing agents from time-consuming manual data review while maintaining consistent decision-making quality.
2Loss of information
If production home builders use conventional data analytics tools to aggregate and display data, then data visualization is provided, but meaningful insights and actionable recommendations are insufficient
Solution Approach 1:
The patent introduces an intermediary layer between raw data and decision-makers. The computerized system acts as a mediator that collects data from multiple disparate sources, processes it through analysis algorithms, and translates it into actionable insights and recommendations. This intermediary layer transforms complex raw data into meaningful information without requiring users to directly manage the underlying data complexity.
Solution Approach 2:
The system replaces conventional data analytics tools that merely aggregate and display data with an advanced computerized system that actively analyzes data from multiple sources and generates actionable insights. This substitution transforms the system from passive data presentation to active insight generation, improving data utilization effectiveness while managing complexity through automation.
3Measurement precision
If production home builders manually review multiple data sources and use different analytics tools, then comprehensive data analysis is attempted, but process efficiency decreases and performance variability increases
Solution Approach 1:
The patent merges multiple data sources and analytics functions into a single integrated computerized system. Instead of agents using multiple different analytics tools and manually reviewing various data sources, the system consolidates data collection, processing, and analysis into one unified platform. This merging maintains comprehensive market analysis accuracy while dramatically improving operational efficiency by eliminating redundant manual processes.
Solution Approach 2:
The computerized system performs multiple functions universally: it collects data from various sources, processes the data, generates insights, and provides recommendations all through a single system. This multi-functionality replaces the need for agents to use multiple separate analytics tools, maintaining comprehensive analysis capabilities while improving productivity through streamlined operations.
4Speed
If production home builders make decisions based on gut feeling or instinct, then quick decisions are made, but decision accuracy and profit optimization deteriorate
Solution Approach 1:
The system performs preliminary action by continuously collecting and analyzing data from multiple sources in advance, generating insights and recommendations before decisions are needed. This pre-processing of data and generation of actionable insights enables quick decision-making without sacrificing accuracy, as the analytical work is already completed beforehand.
Solution Approach 2:
The patent replaces the mechanical process of gut-feeling-based decision-making with a computerized system that systematically analyzes data from multiple sources. This substitution maintains fast decision-making speed while improving pricing accuracy by replacing subjective instinct with objective data-driven insights generated through automated analysis.
Data Source
AI summary
This disclosure provides systems, methods, and devices for control and management of production home builders. According to aspects, computerized tools described herein may leverage trained machine learning (ML) models to automatically identify similar homes across a housing market for a more representative price comparison than typical market averages. In some aspects, the system receives a first set of parameter values corresponding to a first home associated with a first entity (e.g., a home builder) to extract a feature vector. The feature vector may be provided to a trained ML model that identifies one or more related homes to the first home using clustering in a multidimensional feature space. The system may determine a target price for the first home based on prices of the identified homes, as well as provide instructions to the home builder of actionable steps to improve home production and performance.