Dynamic Discount Rate Determination Using Consumer Distribution Weights
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Solution Overview
Problem
Current discount methods for objects like movie and concert tickets, which value changes based on time and popularity, fail to maximize marketing effects and minimize seller costs, as they only consider remaining time without accounting for consumer distribution and location.
Innovation Solution
A discount service system that determines a final discount rate by analyzing sales records and adjusting weights based on multiple factors such as distance, remaining time, popularity, and consumer preferences, allowing for dynamic pricing adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If discount is decided only in consideration of remaining time until showtime, then discount determination is simple, but marketing effect is not maximized and seller satisfaction is low
Solution Approach 1:
The patent segments the discount determination into multiple independent factors: remaining time until showtime, consumer distance from show place, and content popularity. Each factor is evaluated separately and then combined to determine the final discount rate, allowing comprehensive analysis without overwhelming complexity
Solution Approach 2:
The patent implements dynamic discount rates that automatically adjust based on real-time changes in multiple variables. The discount rate is not fixed but dynamically recalculated based on the combination of remaining time, consumer location, and content popularity, maximizing marketing effectiveness
2Productivity
If multiple discount factors are considered, then marketing effect is maximized, but discount determination becomes complex
Solution Approach 1:
The patent applies partial weighting to different discount factors based on their relative importance. Not all factors are given equal weight; instead, the system selectively emphasizes certain factors (such as remaining time or distance) depending on the specific situation, achieving effective discount determination without processing every possible variable with equal intensity
Solution Approach 2:
The patent changes the parameters of discount determination by introducing standardized weighting mechanisms for each factor. The system transforms multiple qualitative factors (time, distance, popularity) into quantifiable parameters with assigned weights, making the complex multi-factor analysis manageable and systematic
3Device complexity
If discount rate is fixed, then determination is simple, but cannot adapt to changes in commerce environment
Solution Approach 1:
The patent transforms the static fixed discount rate into a dynamic calculation system that automatically adapts to environmental changes. The discount rate fluctuates based on real-time inputs from multiple factors including remaining time, consumer location, and content popularity, ensuring continuous adaptability to changing commerce environments
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors changes in discount factors and adjusts the discount rate accordingly. The weighted combination of factors provides ongoing feedback about market conditions, enabling the system to self-adjust and remain adaptable without manual intervention
Data Source
AI summary
A discount service method carried out by a discount service device. The method includes: obtaining discount rate information based on changes in variable values of respective discount elements of an object being sold; on the basis of the discount rate information, identifying, for a plurality of sales records of the object being sold, a consumer distribution corresponding to changes in the discount rates of the respective discount elements of the object being sold; and determining a final discount rate for a predetermined consumer of the object being sold, by applying weights to the respective discount elements, calculated on the basis of the identified consumer distribution. When the consumer distribution changes, the weights of the respective discount elements change, and thus the final discount rate is determined differently, even when the variable values of the respective discount elements for the predetermined consumer are the same.