MVLR features

MVLR is used for feature-based forecasts. You can use MVLR when: 

• There are multiple features, such as promotions or inventory levels  
• Features may be related to the SKU (promotions or inventory levels)
• Features may be unrelated to the SKU (oil prices or gross domestic product)

The MVLR algorithm uses feature data to generate a prediction. Features are important when they influence prediction results.

MVLR feature input sources

1. Historical data 
2. Related data
3. Synthetic data:
   • These features are created by PlanIQ automatically. They can be based on either historical or related data.  Examples are:
     • Exponential trends 
     • Linear trends
     • Seasonality
     • Lagged values
       (for example, a gross margin prediction, based on a fuel price change three weeks prior)