Your numbers reconcile. That is not the same as being right.

A free guide for CFOs and owners of industrial distributors and manufacturers. How to tell whether a number has been tested or only tidied, before you commit capital against it.

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You are not going to run these checks yourself

Which numbers are safe to build on.

Some errors contradict themselves and get caught. The ones that agree with everything and still cannot be true do not.

What to ask when a figure looks off.

So you can point at where it breaks instead of asking someone to go and check again.

Whether the clean file AI handed you can be trusted.

Ask a model to clean your data and you get a tidy spreadsheet with the same wrong numbers inside, delivered with total confidence.

What is actually yours to fix.

Some of it gets cleaned, some needs a decision from you, and some has to come from whoever owns the data. Confusing those costs months.

Hi, I'm Sharon.

I advise CFOs and owners of B2B industrial distributors and manufacturers, where inventory decisions have to hold up under scrutiny rather than simply reconcile. Most of my work starts the same way: a number everyone relies on that nobody has tested against anything outside the system that produced it.

Before this, I spent my career in operational finance at Fortune 500 scale, including at 3M. The pattern never changes. The inventory is rarely the problem. The lens applied to it usually is.

8.5% → 5%

Non-working inventory, Fortune 500 manufacturer

100%

Fill rates held through a chip shortage

12%

Storage costs cut at a packaging distributor

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Inside the guide

Eight pages. Written for the person who signs, not the person who runs the report.

• The two kinds of wrong, and why only one gets caught automatically
• Six references every number should tie back to, including the one that lives outside your systems
• The specific tests to give AI, and what no model can see for you

Every purchase order, every reorder and every write-off is sized off numbers like these. When you can defend them, you buy what you need instead of padding for uncertainty, and the cash stops sitting on the shelf.