Summary: AI models can analyze macro trends, customer signals, and seasonal patterns to forecast demand accurately.
Problem: Businesses struggle with sudden spikes or drops due to lack of predictive insight.
Solution: Use AI-based forecasting models that combine historical data with external signals like weather, events, and sentiment.
Comparison:
- Manual forecasting: lagging indicators
- Pure automation: misses qualitative context
- Hybrid forecasting: data + intuition = agility
Actionable Recommendation: Build rolling 90-day forecasts updated weekly using both AI and team input.