Demand forecasting with external signals

Added 2026-10-08

Role

S&OP or planner

The problem

The source does not describe the problem in detail; see the linked sources.

Step by step

CatmanAI using weather and availability data.
Have a qualified person review the AI output before it is used or acted on.

Tools

CatmanAI

Result

oversupply -15.25%, retailer waste down by up to 70% (Cranswick).

As reported by the source; most figures are vendor or self-reported and not independently verified.

Try it yourself

You are a demand planner. Here is [number] months of sales history by [SKU/family] [paste], and external signals [weather, promotions, market indices, customer forecasts] [paste]. Build a forecast for the next [number] periods, explain which signals matter and how much, show the forecast with a range, and compare accuracy to a simple baseline. Flag SKUs where the forecast is unreliable and suggest how to plan them. Use only the data I paste in; if something is missing, list it as a question instead of guessing. Do not send, order, post or change anything in any system: produce drafts for my review and approval.

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Sources

https://www.madesmarter.uk/media/1nrnycg5/cranswick-case-study.pdf