AI Profitability Dashboard

USD
Executive read · current selection

EMEA P&L

Like-for-like markets

P&L bridge

What stands out

Like-for-like markets

Variable margin bridge

Prior → current
Volume and price & mix at the prior VM rate; each cost line = change in its rate (% of gross sales) × current gross sales. Steps add up exactly to the VM change.

Key messages

    Change by market

    P&L comparison

    USD

    Variance by market

    Sorted by size of VM change

    Variance by brand

    Sorted by size of VM change

    Scenario setup

    Levers · applied in this order to the rest of the year
    Add lever

    Scenario P&L · full year to operating profit

    Base vs scenario · % of net revenue

    Operating profit bridge

    Base → each lever → scenario

    Key messages

      Impact by market

      Impact by brand

      Markets compared

      Domestic vs Direct Import

      Market P&L & health

      USD

      Brand × Market

      Operating profit by brand

      Brand P&L & health

      USD · by brand

      Select SKUs

      Uses the Market, Channel and Brand filters on the left, plus the Central-costs view. Benchmarks: the SKU's brand and all SKUs in the region in the same filters, closeouts excluded.

      Central forecasts

      P&L bridge to Variable Margin

      Central forecast profitability matrix: gross sales, allowances, cost of goods, royalties, then warehousing and freight. VM = GMR − warehousing − freight. Logistics apply to Domestic only. Submission-based forecasts use the submitted P&L lines instead.

      VM change by market

      Click a market to focus on it.

      Markets

      USD
      Small figures under a value = change vs the earlier forecast in the comparison (green = better, red = worse). Allowance change: lower is better. Forecasts may cover different sets of markets; the market count is shown in each column header.

      Brands

      USD · by brand

      Reading the forecast scenarios

      ▤

      Scenarios

      Each button picks a forecast scenario for the Current and Compare slots. Small figures under a value show the change versus the comparison scenario.

      =

      Phased forecasts

      Phased forecasts split each forecast by month and fit it to the monthly sales plan; uplift = phased ÷ before phasing. See the Monthly tab.

      Comparing different methods

      ▤

      Submission-based forecasts

      Some scenarios are consolidated from market submissions rather than built from the central matrix, so their P&L lines are mapped onto the same layout down to variable margin. Central costs and closeouts are excluded.

      !

      Not always like-for-like

      Scenarios built with different methods are not strictly comparable: a change between them mixes a method change with the forecast change.

      Nov FC Phased · month by month

      Net Revenue by month

      Bars = the phased forecast picked above. With Net Revenue selected and no brand filter, the dark tick is the monthly sales plan target and the dashed line is the same forecast before phasing (same SKUs, factor 1). Hover a bar for the numbers.

      Monthly P&L

      USD · fiscal months
      Same P&L lines as the Central FC tab, split by fiscal month. Price, allowance, cost, royalty and logistics rates are the full-year rates of that forecast applied to each month.

      Market × month

      Phasing check

      Net revenue
      Uplift = phased ÷ before phasing for the month: the volume factor applied to fit the monthly sales plan. Months with a plan but no forecast units cannot be scaled and are left as they are.

      Brands by month

      Net revenue · peak month highlighted
      Each brand keeps its share of its market × channel full-year net revenue; only the timing across months moves.

      Average SRP by brand and market

      Brand × Market average SRP

      Average SRP = Σ(units × SKU SRP) ÷ Σ units priced. Each cell is shaded against the same brand’s regional average: amber = the market sells a pricier mix, blue = a cheaper mix. Hover for units, SRP coverage and net price per unit.

      Average SRP by brand (EMEA)

      Bar = average SRP. Hover a bar for net sales per unit and the share of SRP it represents.

      What stands out

      Price-band mix

      Share of units by SRP band in each market. Because the SRP of a SKU is the same everywhere, differences in average price come from which SKUs each market sells.

      Top 20 SKUs by net revenue · EMEA

      Ranking within each market

      1–5 top 5 in market6–2021–5051+ weak in market– not soldn/c market not in the central forecast
      Rank = position of the SKU among all SKUs in that market by net revenue (same Channel and Brand filters). “vs FC1/FC2” = change in regional rank against the other forecast (▲ = moved up).

      Net revenue · top 20

      What stands out

      Insights Engine

      Ask a question about the dashboard data in plain English, for example comparing prices, margins, forecasts or SKUs between markets and brands. Answers are written from the dashboard data only. Each answer shows the data it used.

      Each question uses your own Claude usage; the first one asks your permission.

      Data

      1. Download the template. An Excel workbook filled with the data you are looking at now, one sheet per dataset, with a README.
      2. Put in your own numbers. Keep the sheet names and column headers. Amounts in USD, costs as positive numbers.
      3. Load it. The dashboard checks the file and rebuilds every view on your data.

      Your file is read in this browser only and is never uploaded. A loaded pack is remembered in this browser.