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

# Forecast Dashboard

> View and manage demand forecasts in Tether

# Forecast Dashboard

The Demand Forecast Dashboard is where you view, analyze, and adjust demand predictions for your products. Accurate forecasts are essential for inventory planning and supply chain efficiency.

## Accessing the Dashboard

Navigate to **Demand Forecast** in the sidebar.

<Note>
  Both Admin and Sales Rep users can access the forecast dashboard. Editing capabilities may vary by role.
</Note>

## Dashboard Layout

The forecast dashboard consists of:

1. **Filter Panel** (left) - Narrow down the data
2. **Toolbar** (top) - Actions, grouping, and view options
3. **Data Table** (center) - Forecast values by period
4. **Summary Bar** (bottom) - Aggregate totals

## Understanding the Data Table

The data table shows forecasts in a grid format:

### Rows

Each row represents a unique combination of:

* SKU
* Channel
* Other grouping dimensions

### Columns

Columns represent time periods:

* Days (for short-term view)
* Weeks (for medium-term)
* Months (for longer horizons)

### Cell Values

Each cell shows the forecasted quantity for that SKU/channel/period combination.

| Cell State      | Meaning                    |
| --------------- | -------------------------- |
| **Number**      | Forecasted units           |
| **-**           | No forecast (zero or null) |
| **Highlighted** | Recently edited            |
| **Grayed**      | Historical (past period)   |

## Time Period Selection

Control which periods are displayed:

### Date Range Picker

1. Click the date range selector
2. Choose start and end dates
3. Apply to update the view

### Quick Presets

| Preset           | Shows             |
| ---------------- | ----------------- |
| **This Week**    | Current week days |
| **This Month**   | Current month     |
| **This Quarter** | Current 3 months  |
| **This Year**    | Full current year |
| **Next 30 Days** | Coming month      |
| **Next 90 Days** | Coming quarter    |

### Aggregation Levels

Choose how to aggregate periods:

| Level       | View                   |
| ----------- | ---------------------- |
| **Daily**   | Each day as a column   |
| **Weekly**  | Each week as a column  |
| **Monthly** | Each month as a column |

<Tip>
  Use daily for operational planning, weekly for near-term, and monthly for strategic views.
</Tip>

## Metrics Displayed

Toggle which metrics appear in the table:

### Available Metrics

| Metric            | Description                   |
| ----------------- | ----------------------------- |
| **Forecast**      | Predicted future demand       |
| **Sales History** | Actual historical sales       |
| **Actuals**       | Confirmed current period data |

### Toggling Metrics

1. Click the metrics toggle in the toolbar
2. Check/uncheck metrics to show/hide
3. View updates immediately

### Comparing Forecast vs. Actuals

Show both metrics to compare:

* How accurate are forecasts?
* Where are significant variances?
* Which products need forecast adjustment?

## Grouping Options

Organize the data by different hierarchies:

### Standard Groupings

| Grouping          | Organization                  |
| ----------------- | ----------------------------- |
| **By SKU**        | One row per SKU               |
| **By Channel**    | Grouped by sales channel      |
| **By Collection** | Grouped by product collection |
| **By Hierarchy**  | Product hierarchy levels      |

### Custom Grouping

Create custom grouping configurations:

1. Click **Grouping** in the toolbar
2. Select primary, secondary, tertiary groups
3. Apply the configuration
4. Data reorganizes accordingly

### Expanding/Collapsing Groups

* Click the arrow (▶) to expand a group
* Click (▼) to collapse
* Use "Expand All" / "Collapse All" for bulk control

## Reading Forecast Data

### Interpreting Values

| Pattern          | Indicates                     |
| ---------------- | ----------------------------- |
| Steady numbers   | Stable demand                 |
| Increasing trend | Growing demand                |
| Decreasing trend | Declining demand              |
| Spikes           | Promotional or seasonal peaks |
| Zeros            | No expected demand            |

### Color Coding

Cells may be color-coded:

| Color             | Meaning           |
| ----------------- | ----------------- |
| **White/Default** | Standard forecast |
| **Yellow**        | User-edited value |
| **Blue**          | System-generated  |
| **Gray**          | Historical period |

## Dashboard Actions

### Export Data

Export the current view:

1. Click **Export**
2. Choose format (CSV, Excel)
3. Download includes current filters and grouping

### Quick Edit

Make fast inline edits:

1. Click on a cell
2. Enter new value
3. Press Enter to save

See [Editing Forecasts](/demand-forecasting/editing) for more detail.

### View Edit Log

Access the audit trail:

1. Click **Edit Log** or navigate to the edit log page
2. See all changes with timestamps and users

## Performance Tips

For large datasets:

<AccordionGroup>
  <Accordion title="Use Filters">
    Filter to specific collections or channels instead of viewing all data at once.
  </Accordion>

  <Accordion title="Limit Date Range">
    Show only the periods you're actively working with.
  </Accordion>

  <Accordion title="Use Appropriate Aggregation">
    Monthly view loads faster than daily for long time ranges.
  </Accordion>

  <Accordion title="Collapse Groups">
    Keep groups collapsed when not actively reviewing details.
  </Accordion>
</AccordionGroup>

## Dashboard vs. Other Views

| View                                             | Best For                                  |
| ------------------------------------------------ | ----------------------------------------- |
| **Dashboard**                                    | Daily operations, editing forecasts       |
| **Sales History**                                | Viewing actual historical performance     |
| **Forecast Comparison**                          | Comparing forecast models                 |
| **Forecast Admin**                               | Configuration and uploads                 |
| **[Algorithms](/demand-forecasting/algorithms)** | Understanding how forecasts are generated |

## Next Steps

<CardGroup cols={2}>
  <Card title="Filtering Forecasts" icon="filter" href="/demand-forecasting/filtering">
    Learn to filter and group forecast data
  </Card>

  <Card title="Editing Forecasts" icon="pen" href="/demand-forecasting/editing">
    Make adjustments to forecast values
  </Card>

  <Card title="Sales History" icon="clock" href="/demand-forecasting/sales-history">
    View historical sales data
  </Card>

  <Card title="Forecast Algorithms" icon="function" href="/demand-forecasting/algorithms">
    Learn how forecast models work
  </Card>
</CardGroup>