Haggling Rating System for E-Commerce Negotiation Fairness
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Solution Overview
Problem
Existing electronic commerce systems lack effective mechanisms for rating user negotiation skills and efficiency in haggling processes, which can lead to inefficiencies and unfairness in price negotiations between buyers and sellers.
Innovation Solution
An electronic commerce system that includes a haggling rating system, where user ratings are calculated based on transaction history metrics such as average spread, rounds score, volume score, and abandonment score, displayed as a graphical representation to facilitate informed decision-making during negotiations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a haggling rating system is implemented to evaluate user negotiation skills, then transparency and fairness in negotiations are improved, but system complexity increases due to multiple rating metrics and calculations
Solution Approach 1:
The haggling rating system is segmented into multiple independent metrics (average spread, rounds score, volume score, abandonment score), each measuring a specific aspect of negotiation behavior. This segmentation allows the complex evaluation to be broken down into manageable, independently calculable components that collectively provide a comprehensive fairness assessment.
Solution Approach 2:
The system implements feedback by calculating and displaying haggling ratings based on transaction history, providing users with information about their negotiation performance and that of their counterparts. This feedback mechanism enables users to make informed decisions during negotiations, improving transparency and fairness while the automated calculation keeps complexity manageable.
2Loss of information
If multiple transaction history metrics are calculated and displayed, then user trust and transparency are improved, but information processing requirements and system complexity increase
Solution Approach 1:
Transaction history information is segmented into distinct metrics (average spread, rounds score, volume score, abandonment score), each representing a specific dimension of negotiation behavior. This segmentation makes the information more digestible and meaningful while distributing the processing load across multiple simple calculations rather than one complex analysis.
Solution Approach 2:
The system automatically calculates and maintains haggling ratings based on transaction history without requiring manual intervention. The automated computation of metrics from existing transaction data provides transparent information while minimizing the processing complexity that would arise from manual data collection and analysis.
3Productivity
If haggling ratings are displayed to facilitate informed decision-making, then negotiation efficiency is improved, but user interface complexity increases
Solution Approach 1:
The haggling rating is extracted as a distinct visual element from the complex negotiation interface, presented as a separate metric that users can reference during negotiations. This extraction allows the rating information to be displayed without integrating it into every aspect of the UI, maintaining simplicity while providing the efficiency benefits of informed decision-making.
Data Source
AI summary
Disclosed are various embodiments of systems, methods, and computer programs that facilitate haggling in an electronic commerce system. An average spread of a user is calculated, which is the average difference between an initial list price and a final transaction price among transactions in a transaction history. A rounds score is also calculated, which is based on the number of counteroffers extended by a user in the transaction history. A volume score is calculated and based on the volume of transactions a user has consummated in the transaction history. An abandonment score is calculated and based on the percentage of transactions the user has abandoned. A haggling rating is calculated and based on a combination of the average spread, the rounds score, the volume score, and the abandonment score, and represents an effectiveness of the user in haggling and completing transactions with other users.