Agents in the Merchandising Workflow: Where the Approval Boundary Falls
You take one merchandising desk, nine action types, and one line drawn through them. You work out what a wrong autonomous action really costs, and why the undo button answers almost none of the question. You see why the safest-looking action on the list belongs to a human. And you learn to price an approval instead of arguing about it.
Published by Merchandising Academy · First lesson free to read
Course value
What will you be able to do?
Work outcome
You can use an assistant on your own order data without taking its word for anything, tell a real capability from a demonstration, and set the rules under which your team is allowed to act on what it says.
Who it is for
Factory, supplier, brand and buying-office teams.
What you will produce
You build a method for drawing your own approval boundary. You inventory the actions before the tool is chosen. You count everyone who reads each field an agent may write. You measure a reversal window against a consumption latency. You run the four-term inequality with your own numbers in it. You name the three classes no arithmetic moves. And you set a trigger that says when the line must be redrawn.
Learning format
6 lessons · 0 templates · workplace calculations and decisions.