> ## Documentation Index > Fetch the complete documentation index at: https://help.atlas.kitchen/llms.txt > Use this file to discover all available pages before exploring further. # Product mix report > Analyse product sales, quantities, and performance by category. **Available for:** Manager Finance Admin [Go to report →](https://portal.atlas.kitchen/analytics/product-mix) ## What this report shows Product sales performance across your menu. See which items drive revenue vs volume, compare categories, and drill into modifier-level details. The report is organized into three tabs: * **Product mix** — Overview with AI insights, charts, and category breakdowns. * **Product details** — Detailed product-level data. * **Modifier groups** — Modifier group choices and performance across your menu. Data refreshes hourly. Last refresh time appears at the top. ## Filters Filters showing serving date, outlet, item name, SKU, reporting category, source, fulfilment type, serving hour, day of week, and table * **Serving date** — Date range. Defaults to past 30 days. * **Outlet** — Filter by outlet. * **Item name** — Search for specific products. * **Item SKU** — Filter by SKU. * **Item reporting category** — Filter by category. * **Source** — Order source (POS, Kiosk, Web, etc.). * **Fulfilment type** — Dine-in, Pickup, Delivery. * **Serving hour of day** — Filter by hour. * **Serving day of week** — Filter by day. * **Table** — Filter by table. ## Sections ### AI insights AI-generated insights about product performance, pricing opportunities, and menu optimisation AI-generated analysis of your product mix. Identifies high-margin items, pricing opportunities, and menu consolidation suggestions. ### Item quantity vs sales Scatter plot showing products by percentage of total quantity vs percentage of total sales, colored by reporting category Scatter chart plotting each product by volume (quantity %) vs revenue (sales %). Products in the top-right are your stars—high volume and high revenue. Products with high quantity but low sales may be priced too low. ### Product mix by reporting category Expandable table showing categories with quantity, percent of total, gross sales, and average price Expandable table grouped by reporting category. Click a category to see individual products within it. **Columns:** Reporting category, item name, quantity, % of total, % of category, gross sales, % of total, % of category, average price. ### All products Flat table of all products with brand, category, item name, SKU, quantity, percent of total, item sales, and percent of total Flat list of every product. Useful for searching and sorting across your entire menu. **Columns:** Brand, reporting category, item name, item SKU, quantity, % of total, item sales, % of total. ### Sales by team member Gross sales broken down by team member and reporting category. ## Product name actions Click an underlined product name to see available actions. * **Single product view** — Open a detailed dashboard for that product (see below). * **Modifier groups used in** — Jump to the Modifier groups tab, filtered to show which modifier groups include this product. ### Single product view Single product dashboard showing metrics, quantity over time, and modifier group breakdowns The single product view shows: * **Metrics** — Quantity, item sales, gross sales, average price over time. * **Quantity by modifier group** — Which modifier groups include this product. * **Item sales by modifier group** — Revenue contribution by modifier group. ## Drilling into data Click any metric value to drill into the underlying data. Product mix by reporting category table with a context menu showing Drill into Modifier sales and Drill into All items options * **Drill into Modifier sales** — See how different modifiers performed for that product. * **Drill into All items** — View every order item that contributed to that metric. Drill view showing top-level item with mid-level modifier items, quantities, and gross sales ## Interactive features * **Drill down** — Click any metric to see underlying data. * **Download** — Export data from any chart or table. * **Copy values** — Click any metric to copy to clipboard. * **AI assistant** — Ask questions about your data. See [Using reports](/reports/using-reports#ai-assistant).