Voice Search Response Relevancy via Quality Scoring
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Solution Overview
Problem
Consumers face challenges in accessing product information and making informed purchasing decisions due to a lack of expertise among store personnel and limited access to product location and inventory data, especially for home improvement projects.
Innovation Solution
A system that converts voice queries into text statements, queries a knowledge base for responses, and evaluates their quality, with the option to send queries to an agent device for further assistance, updating the knowledge base with user interactions and ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If store personnel rely on traditional methods to provide product information, then they can maintain simple operational procedures, but consumers cannot access comprehensive product information and inventory data
Solution Approach 1:
The patent introduces a mobile device as an intermediary between consumers and store personnel/inventory systems. The mobile device captures images of products and shelves, processes them through image recognition algorithms, and provides consumers with information about product location, inventory status, and specifications. This intermediary approach enables comprehensive information access without requiring complex changes to existing store operations or personnel expertise.
Solution Approach 2:
The patent replaces traditional manual information retrieval methods (personnel knowledge, physical inventory checks) with automated image recognition and processing systems. The system uses computer vision technology to automatically identify products, determine their locations, and check inventory levels, substituting human expertise and manual processes with automated computational methods.
2Loss of information
If consumers use phones or tablets to obtain product information, then they can access some product data, but they still lack comprehensive information about product location and inventory
Solution Approach 1:
The patent enables consumers to perform self-service information retrieval by capturing images with their own mobile devices. The system automatically processes these images to identify products, locate them within the store, and provide inventory status. Consumers don't need to ask store personnel or navigate complex search interfaces; the system autonomously extracts and delivers the needed information based on the captured image.
Solution Approach 2:
The mobile device and image recognition system serve as an intermediary that bridges the gap between consumers and store inventory systems. By capturing images and automatically processing them, the system provides comprehensive location and inventory information that neither traditional personnel assistance nor basic phone searches can deliver, while maintaining ease of use through simple image capture.
3Loss of information
If store personnel lack expertise in specific subject matter, then they can maintain simple hiring and training requirements, but consumers cannot receive expert guidance on product selection
Solution Approach 1:
The patent replaces the need for human expert knowledge with an automated image recognition and information retrieval system. The system uses computational algorithms to identify products, retrieve detailed specifications, and provide selection guidance, substituting human expertise with automated technological processes. This eliminates the need for store personnel to have specialized knowledge while still delivering comprehensive product information to consumers.
Solution Approach 2:
The patent creates a universal information system that can handle multiple product categories and types without requiring specialized human expertise for each domain. The image recognition and database retrieval system provides consistent, accurate information across diverse product lines, making the system applicable to various store types and product ranges without needing domain-specific human knowledge.
4Measurement precision
If the system queries the knowledge base for every voice query, then it can provide accurate responses, but the response time increases due to processing overhead
Solution Approach 1:
The patent performs preliminary processing of voice queries by converting them to text statements and extracting key information before querying the knowledge base. The system prepares the query in advance, structures the information appropriately, and only then submits it to the knowledge base for retrieval. This preliminary preparation reduces the complexity of the actual knowledge base query and accelerates the overall response time while maintaining accurate results.
Data Source
AI summary
A user seeking information relevant to the purchase of a home improvement product or other product submits a query to an automated system. The system transforms the user's voice query into a text statement and searches a knowledge base for candidate responses. Quality scores for the candidate responses are determined. If no candidate response having at least a minimum quality score is identified, the query is sent to a second device associated with an agent. The agent response is provided to the user and stored in the knowledge base for future use.