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What an agent could do
Spot an impending stockout at a high-demand store and recommend a transfer or replenishment before sales are lost.
The decision underneath
May it move stock between stores or order above the normal limit?
01
Where most ideas start
"Use AI to optimize inventory."
✕ Too vague
Make it specific
02
A workable use case
We want an agent to spot an impending stockout at a high-demand store, compare inventory at nearby locations and supplier lead times, and recommend a transfer or replenishment before sales are lost.
Measure it
03
How you'll know it works
If the agent really helps, these numbers should change. Measure them before it goes live, then again after:
Stockout hours; lost sales; transfer and expedited-shipping cost.
Then decide
04
The decision to make first
May it move stock between stores or order above the normal limit? Who approves a transfer that reduces availability elsewhere?
Settle this before the agent goes live, not after.
Your turn
05
Pick a business problem in your organization that is expensive, slow, risky or frustrating. Then work through these four questions, as in the workshop:
1
What business problem are we solving?
2
Who would sponsor this, and why?
3
What measurable business result should change?
4
What would make this difficult to scale here?
Quick test: task or decision?
Is this only a task you want AI to perform, or a business decision you want an agent to help make or execute?