Product Listing Scoring
Automated scoring system that evaluates and ranks product listings based on image quality, description completeness, and other key marketplace success factors.
Solution
This scoring system improves marketplace performance by evaluating five critical aspects of product listings. The system analyzes image quality by counting total images, checking for high-resolution photos, and verifying variant images exist. For descriptions, it examines word count, bullet point usage, specification details, and optimal keyword density to ensure listings attract search traffic.
The solution also evaluates pricing competitiveness through market rank analysis and discount availability. Inventory management scores are calculated based on stock levels and shipping timeframes. Each category receives individual ratings plus an overall score with performance classification. This helps sellers quickly identify specific improvement areas, prioritize optimization efforts, and implement targeted changes to boost visibility and conversion rates.
How it works
The decision graph evaluates product listings through a systematic process:
- Data Input: Receives listing information including image details, description characteristics, pricing position, and inventory status.
- Image Quality Assessment: Evaluates the number of images, resolution quality, and presence of variant images.
- Content Evaluation: Analyzes description word count, bullet point usage, specification details, and keyword optimization.
- Competitive Analysis: Scores pricing position against marketplace competitors and discount availability.
- Inventory Rating: Evaluates stock levels and shipping timeframes for availability scoring.
- Score Calculation: Combines individual category scores into a total rating with classification (excellent, good, average, poor, unacceptable).
- Feedback Generation: Creates detailed breakdown of scores by category with specific improvement recommendations.
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