Report procurement savings in a way finance will accept
A savings report that separates hard savings from cost avoidance, uses agreed baselines, and ties results to the budget.
The prompt
Help me write a procurement savings report that finance will trust.
Period: [QUARTER OR YEAR]
Savings initiatives: [FOR EACH: CATEGORY, SUPPLIER, WHAT CHANGED, OLD PRICE, NEW PRICE, VOLUME, START DATE]
Baseline method we use: [e.g. last price paid, budget price, average of quotes - or "not agreed"]
Finance's concerns: [e.g. "savings don't show up in the P&L", "double counting"]
Audience: [CFO, LEADERSHIP, BOARD]
Rules:
- Classify each item as: hard savings (lower cost vs. last price, hits the budget), cost avoidance (resisted or reduced an increase), or other value (better terms, risk reduction, working capital). Never mix them into one total.
- Calculate savings with the formula (baseline price - new price) x actual or forecast volume, and say which volume is used.
- Only count savings for the period they occur in; annualized figures must be labeled as such.
- Flag items where the baseline is weak or where volume changes could make savings disappear.
- Note whether budgets have been reduced to capture the savings, if I tell you.
- Use only my numbers; mark gaps [ADD DATA].
Return:
1. A one-slide summary: hard savings, cost avoidance, other value, vs. target.
2. A detail table: Initiative | Type | Baseline | New | Volume | In-period savings | Annualized | Confidence.
3. Talking points for presenting to the CFO, including how to answer "where is this in my P&L?"
4. A proposed savings methodology for finance to sign off, so next quarter's report isn't debated.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Finance & Accounting prompts
What to fill in
- QUARTER OR YEAR
- e.g. "savings don't show up in the P&L", "double counting"
- CFO, LEADERSHIP, BOARD
- ADD DATA
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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