powerbi-revenue-digital-twin

name	powerbi-revenue-digital-twin
description	Use when designing or running a Power BI revenue digital twin for sales forecasting, target-gap simulation, backlog-to-invoice scenarios, what-if revenue paths, budget attainment, and forecast-to-cash decision support from an open Power BI Desktop model or exported forecast CSVs.

Power BI Revenue Digital Twin

Use this skill when the user wants to move beyond a static sales forecast into scenario simulation: "How do we still hit budget?", "What if delivery slips?", "Which backlog must convert?", or "Which customers/products close the revenue gap?"

Workflow

1. Start read-only. Use the open Desktop model through Invoke-PowerBIAIForecast.ps1 or existing forecast CSVs. Do not write to PBIX/PBIP unless explicitly requested.
2. Establish the current target gap by month: AI forecast, roll forecast, budget, actual-to-date, open backlog, expected backlog revenue.
3. Build scenario levers:
   • backlog acceleration or delay
   • conversion probability changes
   • customer/product demand uplift or erosion
   • working-day and holiday impact
   • budget or roll target constraint
   • supply or delivery risk
4. Produce at least three scenarios:
   • base case from the current AI forecast
   • target case showing what must change to hit budget or roll
   • risk case showing likely downside if weak backlog or volatile segments slip
5. Rank the smallest set of customer/product/month changes that explain or close the gap.

Required outputs

• forecast_month
• target_metric such as Budget or Roll
• current_ai_forecast
• target_gap
• required_backlog_conversion
• required_residual_demand
• top_gap_drivers
• scenario_name
• scenario_forecast
• scenario_probability
• explanation

Quality gates

• Mark a scenario not_actionable when it depends on segments already flagged advisory_only, biased, or sparse without human validation.
• Separate controllable levers from non-controllable statistical demand.
• Never present a single scenario as truth; show assumptions and sensitivity.