Auction System Heterogeneous Network Adaptation
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Solution Overview
Problem
Traditional computer-based auction systems are limited by their reliance on single computer networks and fail to efficiently filter and manage the vast amount of information, making it difficult for customers to select relevant products and vendors to target specific customer segments effectively in a heterogeneous telecommunications environment.
Innovation Solution
The system classifies auction objects using predefined classifications, filters them based on customer-specific profiles, and links bid data with auction object data, enabling efficient marketing and secure transmission over various telecommunication networks, including the Internet and mobile networks, using techniques like SMS, USSD, and WAP, with error checking and customer authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If auction systems are implemented within a single computer network, then the system structure is simple, but the system cannot cope with heterogeneous telecommunication environments
Solution Approach 1:
The patent implements a universal auction system that can operate across multiple heterogeneous telecommunication networks (Internet, mobile networks, satellite networks) through a standardized interface layer. The system translates network-specific protocols into a common auction protocol, enabling multi-network functionality without requiring separate systems for each network type.
Solution Approach 2:
The patent introduces an intermediary translation layer that mediates between different telecommunication network protocols and the auction system. This intermediary component converts incoming auction bids and object data from various network formats into a standardized internal format, allowing the auction system to handle heterogeneous networks without direct integration complexity.
2Quantity of substance
If all product offers are transmitted to customers, then customers can select from a wide range of products, but customers are burdened with unnecessary information
Solution Approach 1:
The patent implements preliminary filtering of auction objects based on customer profiles before transmission. The system pre-processes the auction object database by matching objects against stored customer preferences, purchase history, and demographic data, then transmits only the filtered, relevant subset of auction objects to each customer terminal. This preliminary action reduces information burden while maintaining product selection variety.
Solution Approach 2:
The patent applies local quality by customizing the information content transmitted to each customer based on their specific profile characteristics. Different customers receive different filtered sets of auction objects tailored to their individual preferences, rather than a uniform comprehensive list. This personalized approach maintains variety for each customer while reducing overall information burden.
3Extent of automation
If manual email bid entry is required, then auctioneer control is maintained, but automation is reduced
Solution Approach 1:
The patent implements self-service automated bid processing where the system automatically receives, validates, and processes auction bids transmitted through various telecommunication channels. The auction system autonomously handles bid data extraction, format validation, and integration into the auction database without requiring manual auctioneer intervention for data entry, while maintaining auctioneer control through automated evaluation and announcement functions.
Data Source
AI summary
A computer-based auction method and auction system in which vendors offer products, services and/or information as auction objects, auction object data relating to the auction objects being captured in an input module and being disseminated over telecommunications channels, and in which interested customers make auction bids for offered auction objects, bid data being prepared and being sent over a telecommunications network to an evaluation unit, where they are evaluated and the best bid for the auction object is determined, class designations based on a predefined object classification being inserted into the auction object data and the auction object data being filtered based on customer-specific object profiles, and during the preparation of the bid data in the communication terminal of the customer a bid amount entered by the interested customer is linked to at least certain data contained in the auction object data.