The Data Apps Conference
WATCH ON-DEMAND
Energy, Manufacturing, and Retail CPG face constant supply and demand shifts—from seasonal patterns to unexpected disruptions. Traditional planning approaches with static reports and slow update cycles leave companies struggling to adapt quickly enough to maintain optimal operations.
About this data app:
Energy, Manufacturing, and Retail CPG face constant supply and demand shifts—from seasonal patterns to unexpected disruptions. Traditional planning approaches with static reports and slow update cycles leave companies struggling to adapt quickly enough to maintain optimal operations.
How it was built:
Replaces manual forecasting with AI-driven models that continuously learn and adapt, improving forecast accuracy by 20%, enables dynamic scenario planning with real-time simulations to evaluate multiple business paths simultaneously, automates previously manual workflows, cutting planning cycle times by 50%, allows write-back of modified plans directly to the data warehouse for immediate execution.
