Smart Appliance Product Interest Code Segmentation
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Solution Overview
Problem
Existing product directories struggle to accurately identify customer preferences and intent, and they lack secure transaction platforms for IoT devices, such as smart appliances, which increases security concerns for sensitive financial information.
Innovation Solution
A computer-implemented method and system for smart appliance product segmentation and communication, which generates product interest codes based on user profiles and interactions, matches these codes with relevant products, and facilitates secure transactions by generating and transmitting communications to users, ensuring personalized product recommendations and secure financial data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing product directories use general customer purchase patterns to recommend products, then product recommendations can be generated quickly, but the accuracy of identifying specific customer preferences and intent deteriorates
Solution Approach 1:
The patent segments customers into distinct groups based on their interactions with smart appliances and purchase behaviors. By dividing the customer base into segments with similar characteristics, the system can provide personalized recommendations that are both accurate and generated efficiently through automated segmentation processes rather than manual analysis of individual preferences.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between general purchase patterns and specific customer preferences. This intermediary uses machine learning models and data analytics to translate aggregate purchase data into personalized recommendations, maintaining both speed and accuracy by processing patterns at an intermediate level rather than requiring direct analysis of individual customer intent.
2Ease of operation
If smart appliances handle financial transactions directly, then transaction convenience is improved, but security risks for sensitive financial information increase
Solution Approach 1:
The patent introduces a secure intermediary layer between smart appliances and financial transaction systems. This intermediary handles the sensitive financial data processing while the smart appliance maintains user-friendly interfaces. The intermediary uses encryption and secure communication protocols to protect financial information while enabling convenient transactions through the smart appliance interface.
Solution Approach 2:
The patent segments the transaction processing system into separate functional components: the smart appliance handles user interaction and product selection, while a separate secure transaction processing system handles financial data. This segmentation allows the smart appliance to remain simple and convenient for users while the dedicated transaction system implements robust security measures for financial information protection.
Data Source
AI summary
A computer-implemented method for smart appliance product segmentation and communication, including: generating, with at least one processor, a plurality of product interest codes; assigning, with at least one processor, at least one product interest code of the plurality of product interest codes to each of a plurality of products of at least one merchant; based at least partially on a profile of a smart appliance user, associating, with at least one processor, at least one product interest code of the plurality of product interest codes with an interaction between the smart appliance user and at least one smart appliance; matching, with at least one processor, that at least one product interest code of at least one product with the at least one product interest code associated with the interaction; and automatically generating and transmitting, with at least one processor, at least one communication to the smart appliance user.