Personalized Pricing System Using Buyer Psychological Testing
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Solution Overview
Problem
Current online retailing systems fail to account for a buyer's individual characteristics, leading to impersonal transactions and limited opportunities for price negotiation, resulting in buyer dissatisfaction and reduced loyalty.
Innovation Solution
A method and system that identify a buyer's individual characteristics through testing scenarios, converting these into a monetary equivalent, and adjusting the purchase price accordingly, allowing for mutually beneficial pricing based on emotional and psychological factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If chain retailing with centralized pricing policy is implemented, then pricing control and standardization are improved, but buyer's ability to negotiate and individual characteristics consideration deteriorate
Solution Approach 1:
The system performs preliminary testing of the buyer's individual characteristics before the transaction takes place. The computer automatically assesses psychological and emotional parameters in advance, storing this data for subsequent price adjustment calculations, enabling personalized pricing without manual negotiation
Solution Approach 2:
The system changes the pricing parameter dynamically based on the buyer's individual characteristics. Instead of fixed centralized pricing, the price is adjusted as a variable parameter determined by the computer based on psychological testing results, emotional state assessment, and compatibility analysis with the seller
2Measurement precision
If digital tracking methods are used to assess buyer solvency, then seller's pricing accuracy is improved, but consideration of emotional and psychological characteristics deteriorates
Solution Approach 1:
The buyer assessment is segmented into multiple independent components: financial solvency assessment, psychological characteristics testing, emotional state analysis, and compatibility evaluation with the seller. Each component is measured separately and then integrated to determine the final personalized price
Solution Approach 2:
The computer system performs multiple functions simultaneously: it assesses buyer solvency, tests psychological characteristics, analyzes emotional state, and calculates personalized pricing. This multi-functional approach prevents loss of information by processing all relevant data types through a single integrated system
3Ease of operation
If general unified discounts are offered to all buyers, then implementation simplicity is improved, but buyer individuality and satisfaction deteriorate
Solution Approach 1:
The system provides self-service personalized pricing through automatic computer-based psychological testing and price calculation. The buyer independently completes psychological assessments, and the system automatically determines the personalized discount without requiring seller intervention or manual negotiation, maintaining ease of operation while achieving personalization
4Reliability
If buyer's individual characteristics are considered through psychological testing, then buyer satisfaction and loyalty are improved, but transaction process complexity increases
Solution Approach 1:
The complex psychological testing and pricing determination process is replaced by an automated computer system. Instead of manual psychological assessment and negotiation, the computer electronically processes psychological test data, analyzes compatibility, and calculates personalized prices, reducing operational complexity while maintaining reliability
Data Source
AI summary
Method and system for conducting online retailing taking into account buyer's individual characteristics, the method comprising placing an offer of a seller's product over the system indicating open data on the product and regular price thereof; saving hidden data in the system, including the minimum acceptable product price (MAPP), buyer's individual characteristic requirements, and hidden scenarios of testing a buyer to identify individual characteristics thereof; sending a counteroffer by the buyer with the buyer's price; sending a test offer to the buyer according to the test scenario selected by the system; testing the buyer, upon buyer's consent, to identify the degree of compliance of the buyer's individual characteristics with the requirements; converting the identified compliance degree into a monetary equivalent to add same to the buyer's price; and comparing the resulting amount with the MAPP to implement a product sale transaction if the amount is not less than the MAPP.


