Same glove. Same distribution centre. $8.49 a case the member never knew was there.
Worker Bee reads a member's broadline invoices, identifies each line by manufacturer product number, and checks it against what is under contract at the DC that actually ships to them. Where a member is buying a private-label item and a contracted equivalent sits in the same warehouse, the app names the switch and prices it. The member saves money. The contract captures the volume. Both halves of that matter.
Nitrile gloves — same product, different manufacturer
- $8.49 per case back to the member
- $42.45 this period, on 5 cases bought
- $0.80 per case rebate, now claimable
- Volume moves onto Handgards – Glove Program
The member did not know the contract existed. Nothing on a Sysco invoice tells them. Worker Bee finds it against their own purchase history, confirms their own DC stocks it, and puts the number in dollars an owner recognises — which is what makes them act on it rather than file it.
Lines matched to a live Buyers Edge contract
Each line keyed on manufacturer product code, matched to a contract that was in force on the invoice date, and compared against contracted cost. Compliant lines stay on the report: showing the operator what they got right is what keeps them sending invoices.
| Item | Contract | Qty | Paid | Contract | Delta | Missed | Rebate | Status |
|---|
Same item, different manufacturer — priced by DC
Purchase history alone cannot answer this. Knowing what a member bought tells you nothing about what they should have bought. Each card pairs the item purchased with a contracted equivalent confirmed in stock at their own distribution centre, so the recommendation is something the member can act on the same week rather than a theoretical saving. Every one of these moves volume onto a Buyers Edge programme.
Pizza boxes are the clearest case on this report
This operator buys 16″ and 14″ B-flute kraft boxes from Sysco at $27.55 and $23.95. A contracted equivalent of the same construction sits in the same DC. HIVE manufactures this category, so the equivalence here is not a guess — and it is exactly the kind of switch the app is built to surface and then hold the member to.
$2,707.11 the engine had to pass over
Every line below was captured cleanly — description, brand, pack, quantity, price, and the Sysco item number. Not one carries a manufacturer product number, so there is no key on which to test eligibility. These are not parse failures. They are the shape of a broadline invoice with no item file behind it.
| Item | Category | BL item # | Qty | Unit | Extended | Identity |
|---|
The expiry test, which is why a one-time file is not enough
Two lines matched a contract that had already lapsed — Joseph's filled pasta (expired 31 May 2026) and BelGioioso fresh mozzarella (expired 31 March 2026), together $303.73. The engine declined to flag either. Without effective and expiration dates it would have told this operator they were owed money on dead contracts, which is worse than telling them nothing.
What closes the gap
A Florida-scoped item subset keyed on manufacturer product code. Every field below does specific work in the engine; the two marked are the ones without which it cannot run at all.
Delivery as an initial load plus a periodic delta, not a single file. Contracts turn over, and a stale file becomes quietly wrong.
The crosswalk already exists on your side
The sample file Buyers Edge sent on 18 August carries DIN and MIN on every row — the distributor item number and the manufacturer item number, side by side. That pair is the entire ask. Nothing in this report requires anything Buyers Edge does not already hold and already formats.
One operator is the proof. 791 is the programme.
HIVE's Florida book sits in two contiguous metros, inside the Sysco West Coast Florida, Sysco Central Florida, and Tampa US Foods and PFG territories. A subset scoped to those DCs covers nearly the whole launch group.
Top cities in the HIVE prospect book. Tampa Bay accounts for 372 operators, the Sarasota–Bradenton core 215.
If this operator is typical
This is arithmetic, not a forecast. It assumes every operator looks like this one, and it is computed only on the 44% of spend currently visible, from a single distributor. Most operators run two or three.