Menu Analysis – Product Groups and Price Scenarios

Open Analytics++ → Menyanalys to compare how often products sell and their contribution after goods costs. Choose a period and check cost prices before using the classification.

Four groups

Medians use products and variants with cost prices in the period's data. Classification uses margin in SEK per unit sold, after discounts and excluding VAT. The local category tab narrows the products displayed; it does not reclassify them against a new category median.

Read the chart

The X-axis shows units sold. Switch the Y-axis between % and kr/st. Bubble size represents revenue. Hover over a product to see quantity, margin and revenue.

Switching to percent changes the display, not the product's group. kr/st is therefore the clearest mode for checking its group against the margin threshold.

Groups and a sortable product list appear below the chart. Use CSV to save the current table selection when you have export permission. Insight cards suggest actions based on the report; they do not change prices or the menu for you.

If the matrix is unavailable

Classification needs at least three products or variants with cost prices in the selected sales data. Check dates and sales, then add missing cost prices under Meny → Produkter → Alla artiklar. Enter costs excluding VAT and save.

Follow up a change

Save the report, change a defined part of the menu and compare a similar period afterwards. Review both unit margin and quantity sold. A Star does not guarantee profit after staff and rent, and a Dog can still serve an important purpose on the menu. Current cost prices are also used when reopening an earlier period.

Try a price scenario

Choose an item under Prova ett prisscenario. Enter a percentage price change and the volume change you want to assume. The result shows estimated contribution after goods costs and the difference from the selected period, excluding VAT and before labor and other expenses.

The calculation starts from the period's average sales per unit after discounts and the current cost price. It holds unit cost and the period's VAT and discount mix constant. The volume change is your assumption, not a forecast of guest behaviour. No menu prices are changed.

A missing cost price prevents calculation. Fewer than 20 units sold triggers a small-sample warning. Try several reasonable assumptions and consider the item's role, demand and staffing before making a real price change.