ThinkWithPrompt by SynotticThinkWithPrompt

Build an open-to-buy plan for next season

A month-by-month open-to-buy plan at retail and cost that shows how much I can still buy and where I'm overbought.

Finance & AccountingFew-ShotStandardSalesFinancePlanFill-in Template

The prompt

Help me build an open-to-buy (OTB) plan for my next season. Category or department: [NAME] Planning period: [e.g. "Feb-Jul, by month"] Planned sales by month: [AT RETAIL - or last year's actuals plus my growth assumption] Planned markdowns and promotions by month: [$ OR % OF SALES] Beginning-of-month inventory now: [AT RETAIL] Target inventory levels: [e.g. "BOM stock-to-sales ratio of 3.0" or planned EOM inventory by month] Inventory already on order: [BY DELIVERY MONTH, AT RETAIL] Initial markup %: [to convert retail to cost] Use the retail method: planned purchases = planned sales + planned markdowns + planned end-of-month inventory - beginning-of-month inventory. OTB = planned purchases - on order. Return: 1. A month-by-month table: BOM inventory, sales, markdowns, EOM inventory, planned purchases, on order, OTB at retail, OTB at cost. 2. Months where OTB is negative (overbought), with options: cancel, push delivery, shift to another month, or plan a promotion. 3. How much OTB to hold back for in-season reorders and opportunistic buys, with reasoning. 4. Sensitivity: OTB if sales come in 10% below and 10% above plan. 5. Assumptions I should confirm with finance. Show the formulas so I can rebuild this in a spreadsheet. Do not fill gaps with made-up figures; mark them [ADD].

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • NAME
  • e.g. "Feb-Jul, by month"
  • AT RETAIL - or last year's actuals plus my growth assumption
  • AT RETAIL
  • BY DELIVERY MONTH, AT RETAIL
  • to convert retail to cost
  • ADD

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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