What AI Can and Cannot Do in a Factory
One factory measured these systems on its own documents for a month and wrote down every result. You see the kinds of task they did well, and the kind of question no system can ever answer. And you do the arithmetic that shows an almost-right answer costing more than doing the work by hand. Every figure here is that factory's own measurement.
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 four-question test for any proposed use, and you run it before anybody demonstrates anything. You ask where the answer lives, what detects a wrong one and how fast, whether checking is much cheaper than doing, and what share of its errors your check would really catch. You work the break-even arithmetic twice, on one factory's measured numbers.
Learning format
7 lessons · 0 templates · workplace calculations and decisions.
Lessons
- 01Two kinds of question, and why the answer sounds the sameFree sample14 min
- 02The four things it did well, measured here🔒16 min
- 03The fact nobody wrote down🔒16 min
- 04When 95% right is worth less than no answer🔒20 min
- 05Ten tasks, sorted by the wrong column🔒16 min
- 06Five ways to be confidently wrong🔒16 min
- 07The four questions, and what Meskala kept🔒12 min