Cross-Order Intelligence
Buyer 01 and Buyer 06 share 571 identical SKUs across separate orders. Strong single-source signal: both trace to one upstream vendor.
Two sample views built from real anonymized engagement files. Names, partners, and volumes have been obfuscated. The format and depth reflect what you will see in a real report.
You already know your product appears on Amazon, in club retail, and through resellers. The harder question is which intermediate vendors move it there. We identify that layer.
For brands that already know exposure exists and need to isolate the source. One export with SKU numbers and quantities is sufficient.
| Partner | Classification | Anomaly | Volume index | Risk |
|---|---|---|---|---|
| Partner Alpha | Club | 12 | 28 | Low |
| Partner Beta | End client | 34 | 62 | Medium |
| Partner Gamma | Marketplace / Reseller | 81 | 91 | High |
| Partner Delta | Marketplace / Reseller | 68 | 54 | High |
| Partner Epsilon | End client | 22 | 37 | Low |
Each Case 02 engagement runs thirteen parallel analyses on the submitted SKU file. One of them is expanded below.
Built from a real, anonymized Nuvorus engagement file. Brand name, partner names, and SKU codes have been removed. Three analyses are reproduced below exactly as shown to the client. The remaining ten are disclosed in the sample report.
Buyer 01 and Buyer 06 share 571 identical SKUs across separate orders. Strong single-source signal: both trace to one upstream vendor.
Documented value moving through grey tiers. Full-year projected exposure scales above observed.
Whether volume distributes like genuine retail demand, or compresses onto the sizes grey buyers move fastest.
How many grey tiers each SKU touches at once, and what single-channel enforcement cannot contain.
Order lots inconsistent with retail restock. The signature of institutional-scale diversion.
Whether buyers target hero SKUs or sweep the catalog professionally.
Which buyer is most likely to place the next order, and on what cycle.
How bulk grey sourcing is disguised as organic retail demand.
How much of the documented value sits with the top buyers, ranked one by one.
Where observed wholesale cost sits against category pricing bands.
Whether the leak is confined to a niche or spans the product line.
Clusters whose SKU overlap points to a shared upstream source.
All thirteen analyses, the cross-cutting findings, and the priority-ordered recommendations. The same depth a paying client receives, with names redacted.
Open the sample reportInside an engagement, each purchase order is matched against our 61,792-SKU baseline and returns a classification with a grey-market likelihood score. The sample result shown is from a real anonymized order.