Scenario

A scenario in Alviss AI refers to a user-defined set of conditions or variables used in simulations and predictions to model hypothetical situations and forecast their potential outcomes. It allows you to test "what-if" strategies by adjusting factors such as pricing, distribution, media investments, or other commercial drivers, and compare them against a baseline (e.g., current or zero-investment conditions).

Key Aspects

• Purpose: Scenarios help evaluate the impact of changes on key performance indicators (KPIs) like sales, churn, or revenue, enabling data-driven decision-making and strategy optimization.
• Usage in Features:
  • Simulations: Define a scenario (e.g., increasing media spend) and contrast it with a baseline to analyze differences in results, such as ROI or performance uplift.
  • Predictions: Set specific values for variables over time to generate forecasts, supporting demand planning or sales optimization.
• Benefits: By exploring multiple scenarios, you can identify synergistic opportunities, reduce risks, and maximize business growth—potentially achieving 10-20% sales increases through tweaks like pricing adjustments.

For practical implementation, refer to the Simulations and Predictions sections in the documentation. Use the platform's filtering and visualization tools to refine and interpret scenario results effectively.