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Seasonal Category Calendar Planner

Build a category-wide 12-month seasonal calendar for a retailer conversation.

What is the Seasonal Category Calendar Planner?

The Seasonal Category Calendar Planner is a free AI skill that builds a 12-month seasonal merchandising calendar for an entire food and beverage category, not one brand's launch schedule, for use in a retailer conversation. You give it the category, the retailer or banner, and the seasonal moments relevant to that category and region; it returns a month-by-month calendar of category-wide moments, the merchandising and space implications of each, the lead times a retailer needs to plan around, and where category-wide moments and any single-brand activity should intentionally overlap or stay separate. It is built for category managers presenting a category vision, not a supplier promoting itself, who need the whole category's seasonal shape mapped before individual brand plans get layered on top. Because it starts from the category's calendar, not one brand's launch dates, the output reads as retailer partnership, not a pitch. Live food and beverage demand data helps confirm which seasonal moments are actually gaining momentum in this category before they anchor the calendar.

Who it's for

  • Category managers presenting a 12-month category vision to a retailer
  • Category captains building a seasonal calendar the whole category can use
  • Brand teams aligning their own launch dates to the category's calendar
  • Insights leads mapping which seasonal moments matter most to this category

What you get

  • A month-by-month calendar of category-wide seasonal moments
  • Merchandising and space implications for each moment
  • Lead times the retailer needs to plan around per moment
  • Guidance on where brand activity should align with or stay separate from category moments
  • A prioritized list of the 3-4 moments worth the biggest space investment
  • A one-page calendar view formatted for a retailer meeting

How to use it

  1. 1Copy the prompt into ChatGPT, Claude or Gemini.
  2. 2Fill the bracketed inputs (category, retailer, region, known seasonal moments).
  3. 3Answer its clarifying questions about lead times and past seasonal performance.
  4. 4Ask it to flag which moments deserve the biggest space investment first.

See it in action

Example input

We're a supplier, fictional brand 'Brightside Creamery,' pitching a category-wide seasonal calendar for ice cream and frozen desserts to a fictional regional grocer, 'Harbor & Vine Grocers.' We want the calendar to cover the whole category — not just our own products — across all 12 months, including the slow winter months where the category typically loses space to other frozen categories.

Example output

Category calendar — ice cream & frozen desserts at Harbor & Vine Grocers:

Category shape across the year
Frozen desserts has an obvious peak (late spring through summer) and a real risk window (deep winter), when retailers often shrink the set to make room for other frozen categories. The calendar's real value is less about the summer peak, which sells itself, and more about giving Harbor & Vine a reason not to shrink the set in the slow months.

January - February — Comfort & indulgence moment
Post-holiday, low-key indulgence rather than big-format seasonal treats. Space implication: hold core pint and single-serve space; this is not the month to add secondary displays. Lead time: flavor and promo planning should lock by November.

March - April — Spring reset & lighter formats
Sherbet, sorbet, and lighter dessert formats start their climb. Space implication: begin shifting endcap or secondary space away from holiday categories toward frozen treats. Lead time: retailers typically finalize spring resets in January.

May - June — Peak season opens
The category's single biggest space opportunity: grilling season, graduation, early-summer gatherings. Space implication: this is the moment to justify secondary placements, novelty multipacks, and checkout-adjacent impulse space. Lead time: summer set decisions are usually locked by February or March — treat this as the calendar's most time-sensitive window.

July — Peak continues, novelty focus
Single-serve novelties and on-the-go formats peak alongside family blocks. Space implication: maximize freezer door visibility; this is the month least tolerant of out-of-stocks.

August - September — Back-to-school transition
Demand softens but doesn't collapse — treat as a step-down, not a cliff. Space implication: begin planning the pullback so it's gradual, protecting the category from an abrupt September reset that overcorrects.

October - November — The risk window begins
This is where frozen desserts typically loses space to holiday-adjacent frozen categories. Space implication: the category's strongest defense here is a value or bundle-format story (larger formats, gifting angles) rather than trying to out-compete holiday categories on relevance. Assumption to validate: confirm with Harbor & Vine's own October-November sell-through whether the category actually softens as much as the industry pattern suggests, or holds better than assumed.

December — Holiday-adjacent moment
A real but underused opportunity: holiday entertaining formats (large tubs, festive novelties) rather than treating December as a dead month for the category.

Prioritized space investment
1. May-June peak season — biggest, least risky investment.
2. October-November risk window — the moment that most needs defending, not the moment to concede.
3. March-April spring reset — sets up the peak; getting this timing right compounds into summer.

Brand alignment note
Individual brand launches, including Brightside's own, should slot into this calendar rather than set their own independent timing — a launch timed against the March reset window will outperform the same launch dropped in a random month.

Want me to turn this into the one-page calendar visual for the Harbor & Vine meeting?

The prompt

Here's the start of the prompt. Download the free bundle for the full, ready-to-paste version — plus the installable Claude Skill and Custom-GPT instructions.

# Role
You are a senior category management strategist who builds category-wide seasonal calendars for retailer partnerships. You think at the category level, not the brand level — every recommendation serves the whole category's health at this retailer, never one supplier's launch calendar.

# Context I'll provide
- Category: [CATEGORY]
- Retailer and region: [RETAILER + REGION]
- Known seasonal moments: [SEASONAL NOTES — peaks, slow periods, past performance if known]
- My role in this conversation: [MY ROLE e.g. category captain, supplier pitching a category vision]
- My own brand's relevant launches, if any (optional): [BRAND LAUNCHES — to align, not dominate, the calendar]

# Your task
1. If the category, retailer, or seasonal notes are missing or vague, ask up to 3 clarifying questions BEFORE writing anything.

Frequently asked questions

What is a category calendar in category management?
A category calendar is a month-by-month map of the seasonal moments, peaks, and slow periods that shape an entire food and beverage category at a given retailer — used to plan space, merchandising, and promotional timing across the whole category rather than one brand's launch schedule. This skill builds that calendar plus the lead times and space implications a retailer needs to act on it.
How is this different from a generic template?
A generic seasonal template lists holidays and hopes they apply. This skill builds the calendar around your specific category's actual shape — including honestly naming its slow or at-risk months, not just its obvious peak — and ties every moment to concrete space, price, and lead-time implications for one named retailer, rather than a one-size-fits-all list of dates.
Which AI tools run this prompt?
Any capable chat model — ChatGPT, Claude, or Google Gemini. It's model-agnostic, so category captains often save it as a Custom GPT or reusable skill and rebuild the calendar each year with fresh seasonal data and the prior year's learnings.
What if I don't have hard seasonal sales data for this category?
Directional knowledge works — general awareness of when the category typically peaks or slumps, past reset timing, or informal observation from store visits. The skill builds the calendar structure from what you provide and flags every seasonal pattern claim as an assumption to validate against the retailer's actual sell-through data, rather than inventing lift percentages or peak-week statistics to fill the gap.

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