> ## Documentation Index
> Fetch the complete documentation index at: https://pricepirate.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Automation
> What PricePirate's automated price changes did and when prices change.
The **Automation** tab answers the question: what did PricePirate's price changes do, and at what time of day do prices change? It audits the price changes your [pricing strategies](/docs/en/guide/pricing/strategies) produced in the selected window.
## Price change status distribution
The chart counts price changes by status within the window. Each price change carries exactly one of these six statuses:
| Status | Meaning |
| -------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Pending** | The strategy proposed a new price that differs from the current one. The change is waiting to be applied — manually in the review queue or automatically. |
| **Applied** | The change was pushed to your Shopify product. |
| **Rejected** | The change was rejected manually in the review queue. |
| **Error** (internal error) | An internal error occurred while computing or applying the change. |
| **Error** (invalid) | The strategy could not determine a valid price, for example because required data was missing. |
| **Unchanged** | The strategy succeeded, but the proposed price matched the current price — no change was needed. |
A pending change that gets replaced by a newer one no longer counts. To learn how to review pending changes and have them applied automatically, see [Review price changes](/docs/en/guide/price-changes/review) and [Apply automatically](/docs/en/guide/price-changes/auto-apply).
## Price changes by status per day
The same set of statuses, but as a daily trend: each line shows how many price changes fell into each status on a given day. A growing pile of **Pending** points to a backlog in the review queue — a hint to check [automatic application](/docs/en/guide/price-changes/auto-apply).
## Price changes by time of day
The heatmap plots days (columns) against 4-hour time windows (rows, **00-04 h** to **20-24 h**). Only **applied** changes are counted. The color of a cell shows the average direction of the price changes in that window:
* **Green – Avg. price down:** the applied changes lowered the price on average.
* **Purple – Avg. price up:** the applied changes raised the price on average.
* **Neutral – No applied changes:** no change was applied in that window.
Hover over a cell to see the average change and the number of underlying changes.
## What you can do
Many **Rejected** or **Error** statuses are a signal to look more closely at the affected changes in the [review queue](/docs/en/guide/price-changes/review). If no changes are applied despite recommendations, check [automatic application](/docs/en/guide/price-changes/auto-apply) and whether your [syncs](/docs/en/guide/automation/syncs) are running.