AI Dashboards - Scoring models
The Scoring Models section lets you set how much different factors—such as brand, category, or price -affect the importance of customer actions.
By adjusting these weights, you can make sure your system values what matters most to your business.
1. Brand Booster
Use this section to give extra weight to specific brands.
A higher multiplier means actions involving that brand are treated as more valuable.
Example:
{ "Apple": 1.3, "Officeo": 1.4 }
This means Apple interactions are worth 1.3× and Officeo 1.4× compared to others.
2. Category Booster
This section increases the weight for selected product categories.
It’s useful when certain types of products are more important to your goals.
Example:
{ "Laptops": 1.5, "Printers": 1.2 }
If left empty ({} ), no category boost is applied.
3. Price Multiplier
This defines how product prices affect scoring.
Higher-priced items can be given more importance using thresholds and multipliers.
Example:
[ { "threshold": 100, "multiplier": 1.4 }, { "threshold": 50, "multiplier": 1.2 } ]
This means products above 100 get a 1.4× score, and products above 50 get a 1.2× score.
Saving Changes
After adjusting your boosters and multipliers, click “Save changes” to apply the new settings to the selected customer website.
The Scoring Models feature helps you control how your AI evaluates user actions.
By fine-tuning brand, category, and price weights, you can ensure your scoring system reflects real business priorities—giving more attention to the products and customers that matter most.
Learn how to refine your AI configurations further by exploring advanced settings that influence how Powerpop interprets and adapts to your data.