Webpage Product Zone Attractiveness Analysis System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Evaluating the effectiveness of product placement and image visibility on websites is challenging, as current methods fail to accurately determine the attractiveness value of products displayed online, impacting user engagement and sales.
Innovation Solution
A system and method that analyzes sales data to determine key performing indicators (KPIs) for products in specific zones of a webpage, compares these indicators to determine an attractiveness value, and provides insights and recommendations for improving product placement based on the analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If product images are displayed on website webpages to increase user visitations and revenue, then user engagement and sales potential are improved, but the effectiveness of product placement locations and image visibility in generating user activity cannot be accurately determined
Solution Approach 1:
The system implements feedback by tracking user interactions with products (views, clicks, purchases) and using this data to calculate attractiveness values and KPIs. This feedback loop enables continuous measurement and optimization of product placement effectiveness, directly addressing the measurement precision problem while maintaining productivity improvements.
Solution Approach 2:
The patent replaces subjective visual assessment methods with automated computational analysis. Machine learning models and algorithms process sales data, user behavior data, and image characteristics to objectively determine attractiveness values, substituting manual evaluation mechanisms with automated digital systems that provide precise measurements.
2Adaptability or versatility
If sophisticated website designs with multiple product images are implemented to increase revenue, then product display capability is improved, but the complexity of determining which placements are effective increases
Solution Approach 1:
The system segments the webpage into distinct zones and evaluates each zone's effectiveness independently. By dividing the complex webpage layout into manageable segments (headers, sidebars, main content areas, footers), the system can analyze each region's contribution to sales separately, making the overall analysis tractable despite website sophistication.
Solution Approach 2:
The patent creates a universal analysis framework that handles multiple product types, placement locations, and website layouts through a single standardized system. The attractiveness calculation model and KPI measurement approach work across diverse website configurations, reducing the need for separate analysis mechanisms for each website design variation.
3Measurement precision
If product attractiveness is determined through automated analysis of sales data, then measurement accuracy is improved, but the computational resources and data processing requirements increase
Solution Approach 1:
The system applies partial action by focusing computational resources on analyzing only the most influential factors for attractiveness determination. Rather than processing every possible variable, the system identifies and prioritizes key parameters (view count, click count, purchase conversion, zone visibility metrics) that have the greatest impact on accuracy, reducing unnecessary computational overhead.
Data Source
AI summary
A system and method for determining an attractiveness value of a product displayed on a website. The method includes receiving sales data on at least one product displayed in a zone included in the webpage, determining at least one key performing indicators (KPI) on each of the at least one product from the received sales data, comparing the KPI of the at least one product displayed in the zone, determining the attractiveness value for each of the at least one product displayed in the zone, and an insight based on the comparison and the determined attractiveness value, and displaying an image of the at least one product, the KPI, and the insight on the display.