Modeling Combination

In Alviss AI, modeling combinations provide a flexible way to structure your machine learning models around key business dimensions, ensuring granular and targeted insights. Each model is designed to cover a single unique combination of Country, Region, and Grouping, allowing you to analyze data at the level that best suits your needs—whether that's a broad overview or detailed, localized breakdowns.

This approach aligns with Alviss AI's focus on holistic business measurement and optimization, where models quantify the impact of drivers like marketing, pricing, and external factors on KPIs such as sales, churn, or demand.

• Dimensions Explained:

  • Country: Represents the national or geographic market (e.g., "US", "Germany"). Use this to isolate country-specific trends, regulations, or consumer behaviors.
  • Region: A sub-division within a country (e.g., "West Coast", "Bavaria"). This adds finer granularity for regional variations in performance.
  • Grouping: Custom categories like product lines, customer segments, or channels (e.g., "Retail", "E-commerce"). This allows tailoring models to specific business units or strategies.

• One Model Per Combination:
  A single model is built and trained for each unique combination of these dimensions (e.g., "US - West Coast - Retail"). This ensures the model captures interactions specific to that slice of data, avoiding overgeneralization while enabling scalable analysis across your project.

For more on building models around combinations, see Models. If you need advanced customization, explore the API for programmatic management.