THE $4.7 TRILLION TARIFF TEST: HOW PROCUREMENT GOT A CRYSTAL BALL

Two years ago, the procurement leader at a

$250M industrial parts distributor I work with

had a routine: pull the latest tariff schedules

from a stack of bookmarked government pages,

hand them to an analyst, and wait three days for

a spreadsheet that modeled three scenarios. By

the time the deck reached the CFO, two of the

assumptions were already stale.

Today that same team runs forty scenarios

before lunch. They don’t employ more analysts.

They employ AI.

This is the quiet revolution in mid-market

procurement that almost nobody outside

supply chain noticed. While

the headlines were busy

with chatbots and copilots,

procurement teams — the

people whose job is to keep

the cost of goods sold from

killing the business — quietly

adopted AI-driven scenario

modeling and never looked

back. The 2024–26 tariff

whiplash forced the issue.

The tools were finally ready.

Excel Finally Quit

The procurement-by-

spreadsheet model worked until the world

stopped being predictable. Tariff schedules

used to update on an annual rhythm. From 2024

onward, they have changed monthly, sometimes

weekly, with carve-outs and exemptions that

read like tax law. The procurement leaders

I talk to describe the same scene: an analyst

rebuilding the same model for the eighth time

in a quarter, each version less defensible than

the last.

Spreadsheets fail at this kind of work in a specific

way. They can model one supplier swap. They

cannot model the cascading effect of swapping

one supplier on the lead times, inventory carrying

costs, and freight modes of every downstream

component. Real procurement decisions live in

that cascade. AI-native planning platforms do.

The Tools That Are Actually Working

Three platforms keep showing up in mid-market

evaluations, each strong at something different.

COUPA — the most direct response to the tariff

problem. Coupa shipped a product literally

called Tariff Impact Planning, integrated into

its Supply Chain Design and Planning suite.

The platform lets you model tariff, tax, and

duty impacts across an entire product line, then

simulate cost changes from raw material through

to finished goods. The strength is procurement-

plus-spend visibility in one place; the catch is

that the value compounds with broader Coupa

adoption.

GEP SMART — GEP’s

unified source-to-pay

suite has leaned hard into

what it calls cognitive

procurement: AI for spend

classification, tail-spend

recommendations, and

assistants that handle the

long tail of analyst queries.

The GEP Outlook Report

2026 makes the right point:

in 2026, AI in procurement

is no longer about

technology investment, it’s

about whether the culture

absorbs it.

O9 SOLUTIONS — the AI-native planning

platform that practitioners reach for when

the problem is complex demand sensing or

integrated business planning. o9 sits one rung

up from procurement — it’s where supply chain

and finance meet — but its scenario engine is

what teams want when tariffs ripple into demand

forecasts.

Honorable mentions worth a serious look for mid-

market: Kinaxis, E2open, and Aera Technology,

the last of which takes a different architectural

bet — augmenting existing systems with AI

decision-making rather than replacing them.

For a leaner shop, that’s often the fastest path

to value.