The week each item runs out of stock, before it does

A forecast built from last quarter's sales starts going stale the day new sales come in. Thomas Graham is the founder and principal engineer of Graham Labs, where he builds AI agents and data systems for consumer packaged goods brands, and he deployed custom demand-forecasting models as lead data engineer at Keeco. He builds an internal forecasting tool in Claude from historical sales, then sets it up to pick up new sales trends as they arrive and send updates when they do. He works from a mix of syndicated data and your own sales data, and keeps the build independent of any one tool beyond Claude. Come knowing where your sales history lives. If your forecast gets rebuilt by hand every time the trend shifts, this is the version that keeps up on its own.