AI for hospital supply chain
Every facility knows what it ordered. Almost none know what arrived.
Pare closes the gap between what a surgery center or regional hospital pays for and what it actually receives.
Illustrative animation. Quantities shown are sample data, not a customer result.
A reconciliation of four supply items across three columns. The ordered and billed columns are recorded and match. The received column has no system of record, so it starts empty. Once capture fills it, one item is shown short: six boxes of absorbable suture were ordered and billed, and four arrived.
Backed by
- No patient data
- No contract pricing
- No integration
- No IT project
The gap
The third number does not exist
Purchase orders record what was ordered. Invoices record what was billed. Nothing records what came off the truck. Every supply system in healthcare runs on two of the three numbers a financial control requires, and the missing one is the only one checkable against physical goods.
- Ordered
- In the purchase order.
- Billed
- On the invoice.
- Received
- Not recorded. The dock signs, and the signature becomes the record.
Who it is for
Built for facilities the enterprise platforms priced out
Supplies are the second-largest cost line and the ownership is often clinical, so margin is felt directly. Implants and high-value disposables arrive on consignment and move through the building without touching a par level. A short shipment absorbed today becomes a credit nobody files.
Several facilities, one stretched supply chain function, and a GPO dashboard built entirely on purchasing data. You can see what every site ordered and what every site was billed. Nothing shows you whether two sites paying different amounts for the same item received the same thing.
The supply complexity of a much larger hospital, carried by an administrator who also owns three other functions. Enterprise platforms are priced and staffed for systems ten times the size, which is why nothing has ever been built for this building.
The assessment
Start with the data you already have
Every facility already produces purchase history, invoices and an item master. That is enough to show where supply spend is drifting, and it contains no patient information.
Pare reviews it and returns a written analysis of where margin is leaking, and where the record runs out. Nothing to approve beyond sending a file.
Illustrative animation. Findings shown are sample data, not a customer result.
Purchase history, invoices and an item master are sent to Pare, which returns a written supply cost assessment. Three findings resolve from that data: price variance across sites, off-contract substitution, and order fragmentation. A fourth row stays unresolved, because received quantities are not present in the data a facility already holds.
- Recovered margin
- Variances between what was ordered, billed and received are credit events. Uncaptured, they are absorbed.
- Returned capacity
- The count that takes twenty minutes gets skipped. The one that takes under a minute does not.
- Defensible findings
- A finding with a document behind it moves through an organization. A suspicion does not.
Origin
Built from watching the work
The person counting the pallet doesn't feel the loss. The system does. So the count gets skipped, and the discrepancy gets paid for.
Pare started on a receiving dock, not in a dataset. The constraint came from watching the count get skipped: capturing a delivery has to be faster than not capturing it, or it will not happen.
What Pare will not hold
Designed to hold less
The fastest security review is the one where the data was never there.
No patient data
No field for a patient, an encounter, an MRN or a date of service.
No contract pricing
Quantities are recorded. The cost column stays yours.
Both are excluded at the schema level, not by policy. We will show you the schema.
The offer
See where your supply spend is going
A cost assessment, at no cost. Send the purchase and receiving data your facility already produces. We return a written analysis before any software is discussed.