Walkthrough · article 05 of 24

Logging a product sale
— and why COGS auto-fills.

Pick the product, type the quantity — COGS appears automatically from the snapshot we took when you set it up.

Ibrahim Ölmez Ibrahim ÖlmezFounder · nouz · 6 min read · Updated this week
Two clicks, one number. Pick product → type quantity → save. Margin is computed for you from the snapshot.

A product sale is the richer way to log revenue — slightly more setup (the product has to exist in your catalogue first), but every sale teaches nouz one more thing about how your shop performs. After a few weeks of product sales, the Statistics tab can rank your catalogue meaningfully.

01 How to enter one

  1. 1
    Open Revenue

    Pick the date.

  2. 2
    Click + Product sale

    Opens the product picker.

  3. 3
    Pick a product

    Searchable list — type the first few letters of the name.

  4. 4
    Type quantity

    How many you sold today. Sale price and COGS auto-fill.

  5. 5
    Pick cash or card

    Or split the row in two if both were used.

  6. 6
    Save

    Green toast. Entry appears in the list.

02 Why COGS auto-fills

When you set up a product, you give it a per-unit COGS — say, €0,42 for a cappuccino. Logging a sale of 80 cappuccinos multiplies that by 80 = €33,60 of COGS, captured automatically. You don't have to type the math.

The COGS used is a snapshot taken at the moment of the sale, not a live reference to the product row. This is what makes nouz safe to use as a sandbox — you can bump the cappuccino COGS later (when oat milk gets more expensive) without retroactively changing yesterday's margin. See Editing a product later for why that matters.

03 Mixing with manual

You can log product sales and a manual entry on the same date without conflict. The P&L sums all entries for the day, manual + product. Just don't double-count the same revenue both ways — one manual entry for "everything else" and individual product sales for your high-volume items is the typical pattern.

04 What this unlocks

Product sales are what enables the deeper Statistics features:

  • Product performance ranking — see which items contribute the most gross margin.
  • Margin drift detection — get an alert when a product's margin slips week over week.
  • Price experimentation — measure before and after when you change a price.
  • Catalogue insights — see your top-five performers and the long tail.

None of this is available for manual entries. The trade-off for the slightly higher entry friction is significantly richer downstream analytics.

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