Decision Engine for Product Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines do not effectively assist users in comparing products and making informed purchasing decisions, as they primarily rely on keyword-based search queries and advertising models that focus on click-through rates, leaving users to manually compare options.
Innovation Solution
A system and method that includes a decision-making and response system, utilizing a decision engine, a connector engine, and a marketing engine to provide users with a structured interface for entering factors and importance levels, comparing options, and receiving vendor-related data, facilitating informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If search engines rely on keyword-based search queries and advertising models focusing on click-through rates, then advertising revenue is maximized, but users are left to manually compare options without effective assistance in making informed purchasing decisions
Solution Approach 1:
The patent introduces a decision engine as an intermediary component between the search engine and users. This decision engine processes user inputs, compares product options across multiple factors, and generates recommended decisions, thereby assisting users in making informed purchasing decisions without disrupting the existing keyword-based search and advertising revenue model
Solution Approach 2:
The search engine system is extended to perform multiple functions: it continues to provide keyword-based search results for advertising revenue while simultaneously offering structured decision-making assistance through the decision engine that compares products across multiple factors and provides recommended decisions
2Productivity
If search engines provide only keyword-based search results, then the system remains simple and fast, but users cannot effectively compare products across multiple factors
Solution Approach 1:
The patent segments the information processing into two distinct parts: a fast keyword-based search component that retrieves relevant products quickly, and a separate decision engine component that performs comprehensive multi-factor comparison. This segmentation allows the system to maintain fast information retrieval while also providing detailed product comparison data
3Ease of operation
If the system introduces a structured interface for entering factors and importance levels with multiple engines, then users can systematically evaluate and compare product options, but the device complexity increases
Solution Approach 1:
The decision engine serves as an intermediary that handles the complexity of structured factor input and multi-criteria comparison, while presenting a simplified interface to users. This mediator absorbs the system complexity internally while maintaining ease of operation for users through an intuitive interface
Data Source
AI summary
One method retrieves, by a connector engine, communication data between a user communication device and a decision engine in response to identifying communications between the user communication device and the decision engine, the decision engine configured to receive user communication device input and provide the user communication device with a set of decision options. The method then retrieves, by the connector engine, at least one vendor option from a marketing database based on the communications between the user communication device and the decision engine. The method then outputs, by the connector engine, the at least one vendor option.