Surgery Center Inventory Management AI

For an ambulatory surgery center, medical and surgical supplies trail only labor as the biggest expense — close to 30% of operating costs for a typical multispecialty center, and a third or more for orthopedic-heavy ones.¹ The problem isn't the spend itself; it's that most of the loss is invisible. Items expire on the shelf, implants get used but never billed, and cases get canceled for a stockout no one saw coming.

A surgery center can't see any of that on a clipboard. Roughly 30% of the supplies pulled for a case go unused,² and 1–5% of net revenue leaks out through charges that were documented but never billed.³ AI inventory management exists to make that loss visible — and then to close it.

A hospital has a materials-management team, a central warehouse, and submetered cost reporting. A surgery center has about three operating rooms, thinner margins, no mandatory Medicare cost reporting, and one materials manager who also handles purchasing, receiving, and consignment reconciliation.

That changes what good software looks like. Hospital supply-chain platforms over-serve complexity an ASC doesn't have and under-serve the case-cost discipline it lives on. In a center this lean, a single stockout can cancel a case and a single missed implant charge is material to the month — so the tooling has to be light enough for one person to run and precise enough to track every item to a case.

Strip away the marketing and AI inventory management in an ASC comes down to four capabilities working off the surgical schedule and the items each case consumes. In the OR, inventory management AI links each item pulled to the case in real time — so the record reflects what was actually used, not what someone remembered to write down.

The most recoverable loss isn't waste — it's revenue. Charge capture is the process of recording every billable supply, implant, and drug used in a case so it lands on the claim. When an implant is used but never billed, the case already happened: the surgeon operated, the device was consumed, the payment is simply gone. One inventory vendor reports that as many as 48% of products used in procedure rooms go uncaptured.⁴

AI closes the gap by reconciling what was documented and consumed against what was actually billed, then flagging the difference before the claim goes out. It's the same discipline that powers prior authorization and the business-office queue — find the gap before it becomes a denial. Combine the unbilled charges, the unused-but-pulled supplies, and the expired shelf stock, and the leak adds up fast.

Almost every tool on the market forecasts demand from one facility's own consumption history — a thin, noisy signal for a center running a few thousand cases a year. The stronger signal is case-mix and claims data: what a given procedure type actually consumes across many centers, mapped to the cases on your own schedule. That's the part the category still hasn't solved well.

It's the same data wedge behind DataLily's work in pre-op screening and the operations dashboard — building the operational intelligence that makes ASC decisions better, case by case.

Short, direct answers to what surgery-center operators ask most.