From one line in a meeting to a measured result.
How AI Associates traced $410,000 of air freight to its cause, fixed it and tracked the saving.
It started with a line in a meeting.
In the weekly supply chain meeting, someone says air freight is up again. The AI Associates check the shipping data: up 38% this quarter, $410,000 over plan.
Starts from your businessThe AI Associates sized it before anyone asked.
Three AI Associates take it on: one on shipments, one on the orders behind them, one on stock levels. Within a day your team can see what is driving the cost, with the evidence attached.
Evidence attachedThe AI Associates asked the people who know.
The data shows the pattern but not the reason, so the AI Associates ask the planners and the warehouse lead a few short questions. Reorder points weren’t updated when demand shifted. Stock runs out, and air freight is the only fast fix.
Your team’s knowledgeThe AI Associates proposed the fix and waited for a yes.
Recalculate reorder points every week, and check each air freight request against them. The planning manager approves the change.
Nothing without your yesThe platform tracked the result.
Six weeks in, air freight is down 61%, tracked every week, with what Performis costs shown beside the saving.
Cost beside the resultThen the AI Associates found the next job.
While working on reorder points, the AI Associates noticed Suzy in planning spends about 12 hours a week updating lead times by hand. That is the next job on your list, already sized.
The next job, found
Two more examples
Month-end close
The close runs three days late every quarter.
The delay traces to one approval step that waits on a report nobody uses any more.
Finance approves removing it, and the close lands on time.
Refunds
Refund requests keep bouncing between teams.
A policy changed last year, and the refund form never changed with it.
Customer service approves the new form, and repeat requests fall.