AI & Data Analytics
The savings are in the data.
We’re built to find them.
Behind every number we report is an analysis you can trace back to the invoice.
ACC doesn’t ask you to take our word for it. We build the analysis that shows exactly where your spend is drifting, what you’re paying that you shouldn’t be, and what a change actually saved — location by location, vendor by vendor, line by line.
Most of what we find, we find in the data.
Prices that crept up when no one was watching. The same material bought at different prices across different locations. Spend in a category that grew without anyone deciding it should. These aren’t hunches — they’re patterns that show up clearly once the data is pulled together and read properly.
This analysis is the engine underneath everything we do — the actual work behind every number we report. When we say we analyze your spend and verify your savings, this is what that actually looks like. And for clients who want ongoing visibility into their own numbers, we can build and maintain this as a standalone capability, too.
Capability 01
Finding the same thing bought at different prices.
When a company buys across multiple locations, pricing rarely stays consistent. One plant negotiates a good rate; another pays 20 to 30% more for the identical material — and because the two never compare notes, the gap goes unnoticed for years.
We pull purchasing data across every location and line it up side by side, down to the individual item and unit price. Where we find the same input bought at inconsistent prices, we flag it — and either the client renegotiates to the better rate or confirms there’s a legitimate, customer-driven reason for the difference.
Real savings don’t only live in indirect spend. When the analysis is rigorous enough, we find money in the direct materials that go straight into what you make.
Capability 02
Seeing your spend the way it actually behaves.
Spend isn’t a single number — it moves by month, by category, by vendor, by location, right down to the individual item. We build dashboards that make those patterns visible: what’s being purchased, how much, from whom, and how that’s shifted over time.
That visibility does two things. It surfaces the anomalies worth acting on — a vendor whose pricing quietly climbed, a category that’s grown without anyone deciding it should. And it gives you a clear, standing view of your own operation that most teams have never had in one place.
The how
Skilled tools, in skilled hands.
The work runs on SQL and Power BI — disciplines that take real expertise to do well — and we use AI to go deeper and faster than manual review ever could, reading across far more data than a person could work through by hand.
SQL
Querying spend at scale
Power BI
Dashboards and reporting
AI
Reading more data, faster
But the tools aren’t the point. The judgment about what the data means, what’s worth acting on, and what it’s worth to your bottom line — that’s the part that actually moves EBITDA, and that’s the part we bring.
How this is priced
A flat fee, scoped to what you need.
Our analytical work runs on a flat monthly fee, set by the scope of the project and the deliverables you want — not a share of savings. Our savings-recovery work is tied to results; the analytical work is scoped and priced upfront. That’s deliberate: some of what we surface turns into hard dollars you can bank, and some of it is simply seeing your own spend clearly enough to make better decisions. Both are worth having, and you’ll know exactly what the work costs and what you’re getting before it starts.
See where indirect expense savings could improve EBITDA.
Book a short call — 15 or 30 minutes, your choice. We’ll walk through where savings may exist, what the engagement would require from your team, and how ACC verifies the financial impact.
No fee. No obligation. No switching vendors required to find out.