> ## Documentation Index
> Fetch the complete documentation index at: https://betterdatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Forecast Accuracy

> How to measure and analyze forecast accuracy

# Forecast Accuracy

Forecast accuracy measures how well your forecasts match actual demand.

## Accuracy Metrics

### MAPE (Mean Absolute Percentage Error)

Average percentage error across all forecasts:

```
MAPE = (1/n) × Σ|Actual - Forecast| / Actual × 100
```

### Bias

Measures whether forecasts are consistently over or under:

* **Positive Bias**: Over-forecasting
* **Negative Bias**: Under-forecasting
* **Zero Bias**: Balanced forecasting

### Hit Rate

Percentage of forecasts within acceptable tolerance:

* **Within 10%**: Forecasts within 10% of actual
* **Within 20%**: Forecasts within 20% of actual
* **Within 50%**: Forecasts within 50% of actual

## Viewing Forecast Accuracy

1. Navigate to **Analyze** → **Forecast Accuracy**
2. Select:
   * **Forecast Scenario**: Scenario to analyze
   * **Time Period**: Date range
   * **Products**: Products to analyze
   * **Channels**: Channels to analyze

## Accuracy Analysis

View accuracy by:

* **Product**: Accuracy per product
* **Channel**: Accuracy per channel
* **Location**: Accuracy per location
* **Time Period**: Accuracy over time

## Improving Accuracy

Use accuracy insights to improve forecasts:

* **Identify Patterns**: Find products/channels with poor accuracy
* **Adjust Models**: Modify forecast model parameters
* **Apply Events**: Ensure events are properly applied
* **Review Assumptions**: Review and update assumptions

***

## Related Pages

* [Forecast Scenarios](/plan/forecast-scenarios)
* [Forecast Events](/plan/forecast-events)
* [KPIs](/analyze/kpis)
* [Dashboards](/analyze/dashboards)

***

## Permissions & Roles

<Tip>
  Viewing forecast accuracy requires standard user permissions. All accuracy metrics are scoped to your organization.
</Tip>