E-commerce Pricing Slider Interface for Dynamic Sellability Evaluation
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Solution Overview
Problem
Users face difficulties in setting fair prices for items on electronic commerce platforms, as determining appropriate prices is time-consuming and uncertain, lacking a reliable mechanism for pricing evaluation.
Innovation Solution
An information processing method that involves obtaining item information, performing sales evaluations based on similar items, and displaying sales evaluations for price ranges using a slider interface on a screen, allowing users to dynamically grasp sellability and set appropriate prices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually determine prices by researching fixed prices and market prices on electronic commerce platforms, then they can set a price for their item, but it takes much time and effort and pricing remains uncertain
Solution Approach 1:
The system pre-calculates and stores sales evaluation data for multiple price ranges before the user needs to set a price. By performing the pricing analysis in advance based on similar items' sales information, the system eliminates the need for users to conduct time-consuming market research at the moment of listing, while ensuring accurate pricing recommendations are ready when needed.
Solution Approach 2:
The system introduces an intermediary mechanism that automatically analyzes sales data of similar items and generates pricing evaluations. This intermediary processing layer between the user and the pricing decision provides objective, data-driven price recommendations, replacing the uncertain manual price-setting process with a reliable automated evaluation system.
2Reliability
If users manually research market prices to determine fair pricing, then they can set a price, but pricing becomes uncertain without reliable evaluation
Solution Approach 1:
The system implements feedback by continuously analyzing actual sales data from similar items and using this information to generate reliable pricing evaluations. The sales evaluation feedback loop processes historical sales information, compares it across different price ranges, and provides users with reliability-based pricing recommendations that reflect actual market performance rather than uncertain estimates.
Solution Approach 2:
The system performs self-service by automatically gathering, analyzing, and processing sales data from the electronic commerce platform without requiring user intervention. The pricing mechanism independently evaluates similar items' sales performance and generates pricing recommendations, eliminating the need for users to manually research market prices while ensuring reliable and consistent pricing assessments.
3Loss of information
If the system provides detailed sales evaluation data for multiple price ranges, then users can make informed pricing decisions, but the information presentation becomes complex
Solution Approach 1:
The system segments the continuous price range into multiple discrete price range divisions, with each division containing sales evaluation data for a specific price segment. This segmentation allows the system to present comprehensive pricing information in an organized, manageable format, making it easier for users to compare different price options without being overwhelmed by continuous data.
Solution Approach 2:
The system transforms the complex multi-dimensional sales evaluation data into a simplified visual representation using a slider interface. By mapping price ranges and their corresponding sales evaluations onto a one-dimensional visual scale, the system preserves complete information while making it easily accessible and intuitive for users to understand and compare different pricing scenarios.
Data Source
AI summary
The present disclosure provides a mechanism for facilitating appropriate pricing for an item to be listed for sale on an electronic commerce platform. In an information processing method, one or a plurality of processors included in an information processing device performs: obtaining first item information of a first item; performing sales evaluations for price ranges of the first item and obtaining evaluation information on the sales evaluations, the sales evaluations being performed based on sales information of second items matched with or similar to the first item, the second items being extracted by using the first item information from among items registered in an electronic commerce platform; and performing control to display the sales evaluations for the price ranges of the first item by using a plurality of regions identifiably on a screen, based on the evaluation information.