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AI PromptsCategoriesRetail

🎄 Get Ready for a Busy Season

Run the shop from one place, including the second and third one. These prompts build the working parts of a retail business: stock that is right across every location, purchase orders that arrive before you run out, gift cards and loyalty, staff rotas, and the numbers you should see every morning.
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Get Ready for a Busy Season

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Every year our busiest period arrives and we are not ready. Build me a peak season readiness app. Let me define the peak period with its dates, and pull in last year's actual sales, footfall, staffing and stock levels for the same weeks as the baseline. Build a dated plan working backwards from the first peak week covering stock ordering deadlines by supplier lead time, extra staff recruitment and training, extended opening hours, marketing dates, and any equipment or space needed, each with an owner and a due date. Model the cash requirement, since peak stock is paid for well before it sells, and show the expected cash low point. Add an AI agent that reviews the plan weekly and tells me what is slipping, what is now too late to change, and where last year suggests we will be short. Automate a scheduled weekly readiness summary to me and reminders to task owners. After the peak, prompt me to record what actually happened so next year's plan starts from evidence. Two logins: task owners who update their own areas, and an owner who sees the whole plan and the cash model.

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01 / Spark - intelligence awakens

Get Ready for a Busy Season

Build one dated peak-trading plan across stock, staffing, hours, and cash, based on last year's actuals with slippage alerts.

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// the spark catches · intelligence awakens · the answer unfolds

Peak trading is won in the eight weeks before it. This turns last year into a dated plan covering stock, people, hours, and the cash to fund it.

What's Included

  • A dated plan working back from peak across every area at once.
  • Last year's actuals as the baseline instead of memory.
  • Cash requirement modeled since stock is bought before it sells.
  • An assistant that flags what is slipping while it can still be fixed.

How To Use

  1. Work backwards from the peak week and treat the dates as fixed.
  2. Build from last year's actual numbers, not from how it felt.
  3. Model the cash. Peak stock is bought long before it is sold.
  4. Write down what went wrong straight afterwards, while it is fresh.

Buy for it with seasonal buying, and staff it with the rota scheduler.

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