Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI agent for demand planners

Demand Scenario Planning Agent

Ready-made demand scenarios with their effect on supply and revenue

Demand Scenario Planning Agent: what goes in, what the agent does and what you get

What it does

Leaders want to know what happens if demand rises or falls, but building scenarios by hand rarely shows where supply would break. Each quarter, or after a major event, this agent defines scenarios with the planner, such as a big customer win, a recession dip or a competitor exit, with every assumption labeled. It applies each scenario to the baseline forecast by family and shows the effect on inventory, capacity and revenue. Scenarios with overlapping effects are not added together. It then checks each scenario against capacity and supplier limits month by month. If a scenario breaks a limit, it shows the first month and the size of the gap and drafts options. A second check confirms the scenario totals reconcile with the baseline. The planner approves scenarios before they go to the S&OP meeting. Edge case: a scenario that relies on an unconfirmed contract is marked as speculative.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Quarterly review or major event 2 DOES Define scenarios with labeled assumptions 3 USES A TOOL Apply scenarios to the baseline by family 4 DOES Calculate inventory, capacity and revenue effects 5 USES A TOOL Check capacity and supplier limits by month 6 CHECKS THE RESULT Does each scenario stay within limits? If not: show the first month the limit breaks and draftoptions. Back to step 4. 7 CHECKS THE RESULT Do scenario totals reconcile with the baselinewithout double counting? If not: remove overlapping effects and reapply. Back tostep 3. 8 YOU APPROVE Planner approves scenarios 9 RESULT Scenario pack for S&OP
Read the steps as a list
  1. Quarterly review or major event
  2. Define scenarios with labeled assumptions
  3. Apply scenarios to the baseline by family
  4. Calculate inventory, capacity and revenue effects
  5. Check capacity and supplier limits by month
  6. Does each scenario stay within limits?If not: show the first month the limit breaks and draft options. Back to step 4.
  7. Do scenario totals reconcile with the baseline without double counting?If not: remove overlapping effects and reapply. Back to step 3.
  8. Planner approves scenariosThe agent waits here for your OK.
  9. Scenario pack for S&OP

How it decides

It applies changes by family and flags the first month a capacity or supplier limit is broken.

  • Overlapping effects are not added
  • Limits shown by month
  • Assumptions labeled

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Scenario list and size of each swing
  • Planning horizon (default 12 months)
  • Limits checked
  • Pack format

What keeps you in control

It always asks you first

  • Sharing scenarios

Hard limits

  • Never commits supply or capacity
  • Always labels assumptions

It stops when

  • Done: approved scenarios ready for S&OP
  • Stop: capacity data missing, run demand and revenue only and say so

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensIn the Q2 pack, a 15 percent upside scenario from a large retailer win broke bottle filling capacity in month 3 by about 8,000 cases. The limit check failed, so the agent showed the gap by week and drafted three options: weekend overtime, a co-packer for one size, or delaying a planned promotion. The downside scenario stayed within limits and showed $2.1 million less revenue. The planner approved both.

More agents for demand planners