> ## 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. # Dashboards overview > Pre-built and AI-generated analytical views over your Retailgrid data - pricing, competitor pressure, margin health - all in one place. **Dashboards** turn the data already in your grids into ready-to-read analytical views. Open **Dashboards** from the left sidebar to see the built-in dashboards Retailgrid ships with, plus any dashboard you or a teammate has created. Dashboards read from the same underlying [datasets](/data-requirements/datasets) your grids read from - no separate data load is needed. Refresh a dataset and every dashboard built on it follows. ## The Dashboards home page The Dashboards page lists every dashboard in one place - **Built-in Dashboards** and **My Dashboards**. From here you can: * **Open** any dashboard in place. Every chart is interactive - hover for the data point, click a legend entry to isolate it. * **Create** a new dashboard from the **New dashboard** tile - build it by hand or chat with the AI assistant in the [dashboard editor](/dashboards/editor). * **Rename** or **delete** a dashboard you created. The Dashboards home page - built-in dashboards and your own ## Built-in dashboards Retailgrid ships analyst-grade dashboards out of the box: * **Competitive Position** - where competitors are pricing aggressively against you: CPI variants, gap to the cheapest competitor, SKUs above and below market, and competitor price moves, with trend charts below. * **Margin Leakage by Category** - margin leakage by category versus competitor price index, so you can focus the next pricing pass on the categories that matter. Built-in dashboards are **editable** - open one in the [dashboard editor](/dashboards/editor) to change its widgets, filters, or layout. They can't be permanently deleted: a **Reset** action restores the original configuration at any time, and a removed built-in dashboard is automatically recreated from its default template. ## Filters Every dashboard has a global filter bar: * **Period** - presets from yesterday to all time; every widget follows the selected window. * **Store**, **Country**, **Zone**, **Category**, **Brand**, and **Competitors** filters narrow the scope - store-level filters become meaningful once [store-level data](/data-requirements/product-store-data) is loaded. Filters are global to the dashboard: change a filter and every widget refreshes with the new scope. There are no per-widget filters - a dashboard is one analytical view, and its widgets are different visualizations of the same filtered dataset. An open dashboard with the global filter bar and KPI widgets ## Create with AI When the built-in dashboards don't answer your question, describe what you want to see in plain language and Retailgrid generates a dashboard for you. The AI assistant also works on existing dashboards - it can add, remove, or replace widgets from a prompt inside the [dashboard editor](/dashboards/editor). Full walkthrough: [Create a dashboard with AI](/dashboards/create-with-ai). ## Refresh and freshness Dashboards read live from your datasets - no manual refresh step. The freshness signal on each dashboard matches the freshness of the underlying datasets: * Datasets refreshed overnight - dashboards reflect last night's data when you open them in the morning. * Replaced a dataset manually - the next dashboard load reflects the new data. If a chart looks stale, check the dataset on the [Datasets](/data-requirements/datasets) page. ## Sharing Dashboards are visible to everyone in your [Organization](/settings/organization). Anyone on your team can open them; only the creator (and admins) can rename or delete a custom dashboard. ## Related * [Dashboard editor](/dashboards/editor) * [Create a dashboard with AI](/dashboards/create-with-ai) * [Datasets](/data-requirements/datasets) * [Metrics glossary](/reference/metrics) * [Grids overview](/grids/create-grid)