Item Information Push Method Using Estimated Warehouse-Out Quantity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In e-commerce Cost Per Sale systems, the accuracy of item attribute setting is poor due to reliance on impression ranking alone, which does not consider comprehensive influence factors and is not positively correlated with actual promotion effects.
Innovation Solution
An item information push method that acquires attribute value sets based on preset values for specified attributes, determines estimated warehouse-out quantities on promotion platforms using historical traffic and warehouse-out data, and sets attribute values to optimize promotion by considering promotion traffic values and estimated traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If item attribute is set according to impression ranking alone, then the setting process is simple, but the accuracy of item attribute setting is poor and promotion effect is limited
Solution Approach 1:
The patent segments the attribute setting process into multiple independent modules: impression ranking acquisition, promotion traffic value determination, estimated traffic calculation, and comprehensive evaluation. Each module processes specific data independently, allowing the system to maintain high accuracy through multiple factors while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary evaluation mechanism that mediates between impression ranking and actual promotion效果. The comprehensive evaluation module acts as an intermediary that integrates multiple factors (impression ranking, promotion traffic value, estimated traffic) to determine final attribute settings, resolving the contradiction between simple ranking-based setting and accurate multi-factor setting.
2Reliability
If multiple factors are considered for attribute setting, then the accuracy of promotion effect improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing promotion traffic values for different attribute value sets and pre-determining historical traffic data. This preliminary preparation reduces the complexity of real-time data processing while maintaining high reliability in promotion效果 prediction, as the heavy computational work is done in advance.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors actual promotion效果 and uses this information to refine future attribute settings. The feedback loop allows the system to learn from past performance and improve prediction accuracy over time, maintaining high reliability while optimizing data processing efficiency through experience.
Data Source
AI summary
The present disclosure relates to an item information push method. The item information push method includes: acquiring a plurality of attribute value sets of a to-be-promoted item according to preset value sets of a plurality of specified attributes; for the each attribute value set, determining an estimated warehouse-out quantity of the to-be-promoted item on a plurality of promotion platforms, according to historical traffic and historical warehouse-out quantities corresponding to a plurality of reference items and the historical traffic corresponding to the to-be-promoted item, on the plurality of promotion platforms; setting attribute values of the plurality of specified attributes of the to-be-promoted item according to the determined estimated warehouse-out quantity corresponding to the each attribute value set and the one set of values in the each attribute value set and sending the set attribute values to the plurality of promotion platforms.