Ed Gandia
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Tariffs, Volatile Costs, Supplier Shifts: Why Your Decision-Making Process Needs AI Now

By Ed Gandia, Practical AI advisor and builder for B2B companies.

New tariff changes. Highly volatile oil and raw material prices. A regulatory shift affecting two product lines. A major supplier getting acquired.

The challenges and decisions you're currently dealing with are probably more consequential than anything you've navigated in years. And they're all stacking up quickly.

Gut instinct has gotten you far. So have spreadsheets. But the complexity of what you're dealing with has outgrown both.

Think about what's actually happening when you sit down to make a call on something like a supplier shift. You're pulling data from multiple systems, cross-referencing it mentally, asking your team for context they may or may not have documented, and then making a judgment call under time pressure. That process worked when you were managing five variables. It starts to break down at fifteen.

Most AI conversations focus on speed: faster emails, faster reports, faster data pulls. And sure, those matter. Getting a weekly ops summary in ten minutes instead of two hours is a real win.

But the bigger opportunity sits at the decision layer.

For instance, AI that helps you evaluate a supplier shift across 14 locations. AI that models the margin impact of three different oil price scenarios before you commit to a pricing change. AI that spots which accounts are gradually pulling back across a $40M book of business, weeks before your team flags it in a quarterly review.

That's the kind of visibility most operators don't have right now because the data is scattered across too many systems, too many people, and too many manual processes to assemble fast enough to act on.

And the cost of not having it is getting steeper. When raw material costs shift 15% in a quarter and tariff exposure changes the math on two of your top product lines, the difference between a good decision and a great one might be worth six or seven figures.

When it comes to AI, speed and productivity get all the headlines. But the executives I talk to are solving for something else entirely: clearer thinking under pressure, with the right information at the right moment.

The real question is whether your current process for making high-stakes calls can keep up with the pace and complexity of what's coming at you. If the honest answer is "barely," that's worth paying attention to.

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