Retail planners are already using AI, through vendor features, through ChatGPT, through Copilot. The question isn't whether to use it. It's whether you're using it for the right things.
Most planning workflows still have a gap between what your planning tool automates and what a general AI search can answer. The analytical middle ground, recaps, gap analysis, forward projections, markdown timing, is where Claude earns its place. These prompts are designed to bridge that gap. Paste your data, run the prompt, act on the output.
Prompt 1: Write the Monday Exec Recap
Why it Works
The Monday recap is one of the most time-consuming low-value writing tasks in planning. The analysis is already in your head — you just need the summary. Claude turns your data into a clean, structured narrative in under a minute. Review, adjust, send.
Prompt 2: Run the Inventory Health Check
Why it Works
This is the audit most planners run mentally, or spend an hour doing manually in a spreadsheet. Structured as a prompt, it forces the inputs to be explicit and surfaces the same answer faster with documentation you can act on or share.
Prompt 3: Build Your Markdown Shortlist
Why it Works
Markdown decisions are often made on instinct shaped by experience. This prompt doesn't replace that judgment — it puts the data in front of the decision faster. You get a prioritized shortlist with projected impact, not just flags, before your Monday meeting.
Prompt 4: Explain the Plan vs. Actuals Gap
Why it Works
Every planner answers this question every Monday. This prompt changes how long the answer takes, and how much of the explanation writing you have to do yourself. Useful both for internal clarity and for the narrative you bring into your review call.
Prompt 5: Run the Forward Projection Sanity Check
Why it Works
This is the most valuable prompt on the list. Knowing in February what your May closeout looks like, while there's still time to act, is the difference between a reactive season and a managed one. Run it weekly, not once.
A Note on Data Quality
Claude works with what you give it. A clean, well-structured export produces useful output. A messy file with inconsistent naming and missing fields produces output that reflects that. The prompts above are starting points — refine them for your categories, your data structure, and your reporting cadence.
The planners getting the most out of this have iterated over a few weeks. The first attempt won't be perfect. Neither will the second. But the workflow compounds.
Getting More Out of These Retail Claude Prompts
A few principles that apply across all five:
- Give it your actual numbers, not summaries. Claude needs raw material to generate real, specific answers, not paraphrased context.
- Use your own terminology. If you call it "end of month receipts" or "OTB variance," use that. Claude mirrors your language back.
- Iterate. Take the first output as a draft. Adjust tone, add context, correct anything that doesn't reflect your category's reality.
- The more context you give Claude about your brand, your customer, and your planning cadence, the more specific, and useful, the output becomes.
