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

# Open your grid

> Open a grid, read the columns that matter for pricing, and check a product's price and sales history in the charts.

Your data is in and your first grid exists. This three-part guide walks one full pricing cycle: open the grid and read what the data says, run **Price Optimization**, then review and publish the prices you accept. Allow about 15 minutes.

Start here once you have finished the [Quickstart](https://docs.retailgrid.io/get-started/quickstart.md).

## Open a grid

* Go to [app.retailgrid.io](https://app.retailgrid.io). You land on **Grids**.
* Each row is one grid, with its product count, the state of its price approval queue and its recent sales.
* Click the grid name to open it.

A grid is a working set of products: the rows you want to analyze and price together. See [Grids overview](https://docs.retailgrid.io/grids/overview.md).

![A grid open in Retailgrid with SKU, product, price and cost columns](https://mintcdn.com/retailgrid/7_pkwVphWfw5qaz_/images/get-started/grid-open.png?fit=max\&auto=format\&n=7_pkwVphWfw5qaz_\&q=85\&s=592e7807f2aea339f69c1964c965ac1c)

## Read the columns

The first columns are your own data: **SKU**, **Product Name**, **Brand**, **Price**, **Unit Cost** and your catalog attributes. Scroll right and the columns are grouped by what produced them:

* **Metrics** - values calculated from your data, such as **Unit Margin %**. See [Metrics](https://docs.retailgrid.io/grids/metrics.md).
* **Market Data** - what competitors charge, including **Price Range** and **Competitor CPI (Min)**. [Price monitoring](https://docs.retailgrid.io/agents/price-monitoring.md) keeps these fresh.
* **Product Roles** - the role each SKU plays, such as KVI, Traffic, Profit or Niche. See [Product roles](https://docs.retailgrid.io/agents/product-roles.md).
* **Price Approval** - proposed prices, once an agent has run. You work there in part three.

Use **Columns** to show or hide columns and **Filters** to narrow the rows. Save a layout you keep coming back to as a [view](https://docs.retailgrid.io/grids/views.md).

> [!TIP]
>
> The **TOTALS** row at the bottom recalculates on whatever is filtered, so you can size a category before you price it. See [Totals row](https://docs.retailgrid.io/grids/totals-row.md).

## Check a product in the charts

Click a row to select it, then open the analytics panel from the chart icons at the bottom of the grid. Four tabs cover one SKU at a time:

* **Competitor prices** - your price against each competitor over time.
* **Sales & price** - units sold against your price and the market average. This is where you see how volume responded to past price moves.
* **Profit & price** - margin and gross profit at those prices.
* **Forecast** - projected units at the current price.

Set **Timeframe** (26w, for example) and **Aggregation** (daily, weekly or monthly) in the panel header.

![Sales and price chart for one SKU, with units sold as bars and price as a line](https://mintcdn.com/retailgrid/7_pkwVphWfw5qaz_/images/get-started/sku-analytics-chart.png?fit=max\&auto=format\&n=7_pkwVphWfw5qaz_\&q=85\&s=8330e720223bdce4674db26880d525be)

Two things are worth a look before you optimize: whether your price sits above or below the market, and whether units actually moved the last time the price changed. The demand model reads the same history. See [SKU analytics panel](https://docs.retailgrid.io/grids/sku-analytics-panel.md).

## Next

Run the optimizer on this grid: [Run Price Optimization](https://docs.retailgrid.io/get-started/run-price-optimization.md).


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