Purchaser-Centered Product Search Engine with Specification Matching
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Solution Overview
Problem
Current e-commerce search systems are inefficient, requiring users to sift through numerous irrelevant websites and information, making it time-consuming for buyers to find specific products, and often result in fewer transactions.
Innovation Solution
A purchaser-centered system that processes user input to directly match product specifications, utilizing a result tree database and learning algorithms to provide accurate, real-time product identification, and allows sellers to search for matching products even when they are not immediately available, optimizing the search process for both buyers and sellers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional keyword search engines are used to locate products, then a broad range of websites and references can be accessed, but the search results contain substantial amounts of unwanted information and require significant time to screen through
Solution Approach 1:
The patent extracts and isolates only the relevant product information from the vast web content by using structured product specification databases. Instead of presenting all web pages containing keywords, the system extracts and displays only those products that match the purchaser's specific criteria, eliminating irrelevant information and reducing screening time.
Solution Approach 2:
The system changes the search parameters from generic keyword matching to structured product specification matching. By transforming the search approach to compare specific product attributes (price, specifications, features) rather than just text keywords, the system achieves more precise results with less manual screening.
2Adaptability or versatility
If traditional keyword search is used, then any website containing keywords can be found, but the system provides inaccurate results and requires reviewing dozens or hundreds of websites
Solution Approach 1:
The patent segments the search process into distinct stages: first matching product specifications, then filtering by price range, and finally presenting targeted results. This segmentation allows the system to maintain broad search coverage while improving accuracy at each stage, avoiding the need to review numerous irrelevant websites.
Solution Approach 2:
The system introduces an intermediary product specification database that acts as a mediator between the purchaser's search criteria and the actual product listings. This intermediary layer filters and structures the information, ensuring that only products matching the specified criteria are presented, thereby improving match accuracy.
3Productivity
If purchaser product specifications are retained for a pre-determined period, then sellers can search for matching products even when not immediately available, but the system must maintain and optimize a database for prospective vendors
Solution Approach 1:
The system performs preliminary actions by pre-structuring and storing product specifications in a standardized database format before actual purchase requests are made. This preliminary organization of data enables efficient matching and searching when purchase requests are received, reducing the complexity of real-time database operations.
Data Source
AI summary
Aspects of this invention disclose a system for providing a purchaser specified product search engine, including providing storage circuitry comprising a database of products, storing product data in the database, receiving from a prospective product purchaser, product data of a desired product to purchase, accessing the database of products and comparing the product data to product data in the database, and determining a probability that the product data matches product data stored in the database. Other aspects may include a data processing apparatus providing a purchaser specified product search engine, including storage circuitry comprising a database of product data, processing circuitry configured to receive purchaser specified product search inquiry data, accessing the database of product data, and comparing the purchaser specified product search inquiry data to the product data; and determining a probability that the prospective purchaser product data matches the product data stored in the database.