Kiosk Product Recommendation System Using User Behavior Analysis
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Solution Overview
Problem
Homeowners face difficulty in identifying complementary home décor items that match their chosen paint colors, as existing systems do not intuitively suggest matching products, leading to missed purchasing opportunities due to unawareness of available products.
Innovation Solution
A computer system that receives user input on project information, including color profiles and materials, determines the type of home project, identifies corresponding products, and displays images of matching products, utilizing user behavior data to suggest relevant items based on past interactions and current behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If paint kiosks provide only paint color selection functionality, then the system remains simple and easy to operate, but users cannot identify complementary home décor items that match their chosen paint colors
Solution Approach 1:
The patent combines paint color selection functionality with complementary home décor item recommendation into a single integrated kiosk system. The kiosk merges multiple functions (color selection, project type identification, product recommendation) that previously would have required separate systems or processes, thereby increasing adaptability without proportionally increasing complexity.
Solution Approach 2:
The kiosk is designed as a multi-functional device that serves multiple purposes: selecting paint colors, identifying home project types, and recommending complementary décor items. This universal approach allows a single system to handle various user needs throughout the home improvement process, from initial color selection to final product identification.
2Loss of information
If the kiosk displays all available home décor products, then users have complete product information, but users are overwhelmed and cannot identify relevant matching items
Solution Approach 1:
The patent segments the complete home décor product catalog into subsets based on relevance to the user's specific needs. After identifying the home project type and analyzing user behavior, the system divides and displays only the subset of products that are most relevant to that project type and color selection, rather than presenting all available products at once.
Solution Approach 2:
The system applies local quality by customizing the product display based on the specific user context. Instead of a uniform display for all users, the kiosk tailors the presented information to match the user's selected paint color, home project type, and behavioral patterns, ensuring that the most relevant product information is prominently displayed for each user situation.
3Measurement precision
If the system uses detailed user behavior analysis to recommend products, then recommendation accuracy improves, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing user behavior data in advance, before the user needs product recommendations. The kiosk monitors user interactions, tracks selection patterns, and pre-processes this behavioral information to build user profiles and preference models ahead of time, so that when product recommendations are needed, the analysis is already complete or near-complete.
Solution Approach 2:
The system implements feedback mechanisms where user responses to recommendations and interactions with the kiosk are continuously monitored and fed back into the analysis system. This feedback loop allows the system to refine its understanding of user preferences and behavior patterns over time, improving recommendation accuracy while the feedback data helps prioritize which behavioral aspects need the most processing attention.
Data Source
AI summary
The present invention is directed to determining products for a home project through a kiosk at a point of sale location corresponding to a retail establishment, and to determining products for a home project through a kiosk at a point of sale location corresponding to a retail establishment and based on a user's current or past behavior. In one scenario, a computer system receives user input including project information. The user input is converted into an electronic signal. The project information includes various user choices related to color profiles, and related to project materials or layout. The computer system determines a type of home project being pursued based on the received information. The computer system identifies products that correspond to the determined type of home project and received color profiles, and displays to the user images of the products that correspond to the determined type of home project and to the received color profiles.