Automatic Listing System for Optimal Resale Timing
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Solution Overview
Problem
Users face challenges in determining the optimal time to resell products they plan to reuse, as existing methods lack predictive accuracy and require significant effort, often leading to inertia in selling or donating items instead.
Innovation Solution
The system predicts resale prices and probabilities at the time of purchase, using a database of completed sales and machine learning models to project future sales prices, and automatically initiates online listings at optimal times, providing users with intuitive interfaces to select resale strategies and receive alerts for timely sales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually monitor and decide when to sell items, then they can control the selling process, but it requires significant effort and time leading to inertia
Solution Approach 1:
The system performs preliminary actions by automatically creating listings and monitoring market conditions before the user needs to sell. The patent implements this by generating listings in advance based on predicted optimal sale times, eliminating the need for users to manually monitor or decide when to sell their items.
Solution Approach 2:
The system enables self-service by automatically managing the entire selling process without user intervention. The patent describes how the system autonomously creates listings, adjusts pricing based on market conditions, and executes sales, allowing users to simply initiate the process and receive proceeds without ongoing effort.
2Ease of operation
If users sell items locally or to friends, then it is convenient, but they may not achieve optimal resale value
Solution Approach 1:
The system implements feedback by continuously monitoring market conditions and using this information to adjust listing strategies. The patent describes how the system receives feedback from market data, analyzes trends, and automatically adjusts pricing and timing to maximize resale value while maintaining ease of operation through automated decision-making.
3Loss of time
If users set scheduled sale times, then they can plan ahead, but they may miss the optimal time
Solution Approach 1:
The system applies dynamics by making listing strategies adaptive rather than static. The patent implements this by continuously adjusting listing parameters based on real-time market conditions, allowing the system to respond to changing circumstances and identify optimal sale times more accurately than fixed schedules.
4Ease of operation
If users give items to charity, then it is simple, but they lose potential resale value
Solution Approach 1:
The system enables self-service by automatically managing the entire selling process without user intervention. The patent describes how the system autonomously creates listings, adjusts pricing based on market conditions, and executes sales, allowing users to simply initiate the process and receive proceeds without ongoing effort.
Data Source
AI summary
Methods and systems for automatic publication of listings on an ecommerce system are disclosed. In one aspects, a method include filtering historical item listings for items to those items having a similarity to a particular item, determining predictions of future sales prices over future time periods for the particular item based on the filtered historical items, the determined predictions including future sales prices having different probabilities of sale completion, receiving a user selection indicating one or more predictions of future sales prices over one or more future time periods; and determining a time to initiate publication of an on online listing for the particular item based on the selected one or more predictions.