Key Takeaways
- Visibility tells you what should be there. It doesn't tell you what actually is. Movemedical is built to make that call, not just report the number.
- Surgeons draw from a range of sizes, not one SKU. We model that range instead of forecasting each part in isolation.
- The cost of getting this wrong hits three places: capital, operations, and audit. Most platforms only ever catch the first.
- Right-sized isn't a trade-off. Fewer stockouts and lower carrying cost move together, not against each other.
Every implant sitting unused on a hospital's consignment shelf is capital you can't touch until it's used and billed and a PO is collected. Every case that gets canceled because the right size wasn’t there is revenue you can’t get back. Every item that expires because no one knew it was there is a drag on margin. Medical device companies carry multiple costs every week, and most inventory platforms are only built to manage one of them.
Both sides are defending a number they can justify.
Neither number is right.
This is where most field inventory management platforms fall short. They give visibility with dashboards that show what's deployed, where, and for how long. But visibility isn't the same as arbitration. Knowing an account has twelve versions of a product tells you twelve should or more likely, could be, the current number. It doesn't tell you what is actually there, what was actually used, or what the right number actually is. That decision still gets made the same way as always: a rep's gut feel, a regional spreadsheet, an audit that is 3 months late, or a finance mandate that sales ignores because it wasn't built with real-world constraints in mind.
The cost of getting this wrong compounds in three places:
- Financial: capital tied up in inventory that never turns over, plus the write-offs when components quietly expire on a shelf.
- Operational: a distracted rep shuttling implant or screws between accounts instead of selling, or a case getting bumped because the size the procedure needed wasn't there.
- Audit Exposure: expired or unaccounted for consignment components are what surfaces the next time your internal audit team checks each account.
Why SKU-level optimization doesn't hold up in the field
A lot of inventory optimization logic, inside MedTech and out, still runs at the SKU level and long-term par levels. Track usage of a part number, forecast its demand, set a par, done. It's a clean model. It's also the wrong unit of analysis for how consignment inventory actually moves into and out of a hospital.
Surgeons don't order in SKUs. A spine fusion pulls from a range of screw diameters and lengths depending on where the vertebra sits and what the anatomy calls for, and nobody knows the exact size needed until the case is underway. That range, not any single screw, is the real unit of clinical demand.
Optimize each screw size independently and you get a result that looks correct on a report and fails in the OR. Fully stocked on the sizes that turn over fast. Thin on the size that's rarely used but essential the moment the anatomy calls for it. The case doesn't get delayed because you were short on inventory in aggregate. It gets delayed because you were short on the one size the procedure required, and a SKU level model had no way to flag that as urgent.
Right-sizing consignment inventory means reasoning at the level clinicians actually operate at. Not the level that happens to be easiest to build a dashboard around.
The constraint nobody puts in the model
Another variable most right-sizing conversations skip: physical space. Hospitals have a fixed amount of storage, and it's usually tight. A consignment shelf or storeroom doesn't expand because a model says the account needs more inventory.
A recommendation that calls for adding inventory with nowhere to go hasn't resolved the tension between sales and finance. It produces a number nobody can execute. Inventory isn’t unlimited, and neither is space.
This is usually the real reason a data-driven recommendation gets quietly ignored in the field. The rep or account manager knows the storage reality on the ground even when the model doesn't, and when the two conflict, the model loses. Any right-sizing approach that treats physical capacity as a footnote instead of a hard boundary is going to keep losing that argument.
A platform built to arbitrate, not automate one side's answer
This is where we've focused as we build Movemedical's right-sizing capabilities in our platform: not only as a smarter optimization dashboard, but as something built to reason through this conflict in a way both sides can trust.
Consignment shouldn’t run on stagnant checklists. When done right, it runs on automated real-time adjusting par-levels. Each item level, lot-controlled implant sits at a hospital under a bill and replace model: a screw gets used, it gets billed, and the system triggers a replacement to bring that account back to par. But what gets used and what gets reordered and billed are often not the same item. The par level itself is the number sales and finance are actually fighting over, and bill and replace has no way to arbitrate between them. It just restores whatever number was set last, whether that number was ever right or not.
he right platform works at the item, case, and order level. It models the correlated range of sizes a given procedure draws from, not each SKU as a standalone forecast, and it treats future surgery events and hospital storage capacity as a real constraint, not something applied after the fact. The output isn't the cost optimal par or the safest par. It's a real-time par level that accounts for what the case clinically needs and what the account can physically hold.
That distinction matters for adoption and efficiency as much as accuracy. A recommendation that reads as finance's preferred answer wearing a data science coat won't earn sales leadership buy-in, and that buy-in determines whether a right-sizing initiative survives in the field. A field operations software that shows its reasoning and gives both sides a shared basis for the conversation instead of a mandate one side hands to the other.
This problem is not occurring in a vacuum. Many leading med device companies cite the same need as they work through 2027 budget planning. No matter what countries you operate in or regions you cover, the same conclusion applies: SKU-level, case and space-blind optimization no longer clears the bar. Convergence like that, from accounts that aren't talking to each other, is usually a sign a problem has moved from nice-to-solve to expected-to-be-solved.
What right-sized actually looks like
Right-sized doesn't mean trading one failure mode for the other. Done well, it moves both numbers in the direction you want at the same time:
- Fewer stockouts, because the inventory in the field is the inventory each procedure actually needs. Implants are at the right place at the right time.
- Lower carrying cost, because you're not holding excess of the sizes that never drove case coverage while also reducing expired inventory.
- A number both sides can defend, because sales and finance are working from the same reasoning instead of two competing spreadsheets.
That's a higher bar than either side's current model is built to clear alone. It's also the real test of whether a right-sizing approach is solving the actual problem, or just producing a more sophisticated version of the same argument.
If you're bracing for that same argument again, talk to us about how the right-sizing platform sets the par levels your sales and finance teams can both stand behind.
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