— How to Use
The Mammoth Care Revenue Tracker shows how the business is tracking against forecast for the current month — across all brands, channels, and customers.
It's a static HTML file: all data is baked in at the time of generation. There's no live connection to SAP. It reflects the state of the source Excel file at the time it was last updated.
The last updated date is shown in the header. Always check this before acting on a number.
This tile highlights POs that are technically open for June but whose expected recognition date falls very close to month-end — making them at risk of slipping into July.
Each tile shows one BU's Expected Full Month, its dollar gap vs F1 (the coloured badge), and its % to F1.
Badge colour signals health at a glance:
Commentary is written by Claude each update, based on the data in the source file. It explains the key channel-level gaps — not just what the number is, but why.
The variance chart shows the same data visually — bars to the left are below plan (red), bars to the right are above (green).
Filters the entire detail table and chart to a single business unit. Mammoth Care (default) shows all BUs together — cross-BU channel totals.
Changes the comparison column throughout the table. F1 is the primary forecast for the month. IBP is the integrated business plan (annual planning baseline).
Filters the table to a single channel and switches the chart to show BU-level variance for that channel. Customer-level rows appear in the table.
| Channel | MTD Actual | Exp MTG | Exp Full Month | F1 | Δ vs F1 | % to F1 | Jun At-Risk Jun 26–30 |
Jul At-Risk Jul 1–5 |
|---|---|---|---|---|---|---|---|---|
| NA HARRY'S | ||||||||
| Retail | ||||||||
| Walmart | $12,400 | $6,100 | $18,500 | $24,400 | ($5,900) | 75.8% | $1,200 | — |
| Target | $8,100 | $3,200 | $11,300 | $13,200 | ($1,900) | 85.6% | — | — |
| Grand Total | $34,800 | $30,900 | $65,700 | $90,500 | ($24,800) | 72.6% | $2,100 | $800 |
The table is organised by BU → Channel group → Sub-channel. Coloured header rows show which BU you're in. Grey rows are channel group totals.
The Exp Full Month column (highlighted) is the key number. Everything else gives context for how it's arrived at.
| BU | Brand | Channel | Customer | PO # | Amount |
|---|---|---|---|---|---|
| Harry's | Harry's | Walmart | Walmart | PO-4421 | $1,240 |
| Lume | Lume | Target | Target | PO-4438 | $870 |
| Flamingo | Flamingo | Club | Costco | PO-4502 | $2,100 |
The Open POs tab lists every open purchase order in the current file — BU, brand, channel, customer, PO number, and dollar amount.
The At-Risk POs tab shows only POs with recognition dates in Jun 26–30 (at risk this month) or Jul 1–5 (forward look). It includes the estimated recognition date for each PO.
Selecting a channel from the dropdown changes the entire bottom half of the dashboard — table, chart, and title all update. This is the fastest way to answer "which customers are driving the gap in Walmart?"
| Customer | MTD Actual | Exp Full Month | F1 | Δ vs F1 | % to F1 |
|---|---|---|---|---|---|
| Walmart (Harry's) | $9,200 | $13,400 | $17,800 | ($4,400) | 75.3% |
| Walmart (Lume) | $2,100 | $3,200 | $4,600 | ($1,400) | 69.6% |
| Walmart (Mando) | $600 | $900 | $2,000 | ($1,100) | 45.0% |
| Walmart Total | $11,900 | $17,500 | $24,400 | ($6,900) | 71.7% |
The Definitions tab in the dashboard itself contains a full glossary and a diagram explaining how each metric is calculated. If a number doesn't make sense, check there first.