ERP-Graphs
The autonomous data science arm of a business operating system: overnight it finds the cause behind a symptom, and prices it.
How it works
The problem, and the shape of the answer.
Every dashboard stops at the symptom
A chart can show that a product stopped selling at one branch. It cannot tell you that a transfer was left in draft, or that units were reserved against deposits nobody chased. The owner is left to guess which.
Overnight, symptom to cause
Each night the service rebuilds an operational graph from the business’s own systems, picks up a symptom and traverses outward to a cause, then prices that cause in shillings. The ranked findings are waiting before anyone opens the dashboard.
It refuses rather than guesses
The vocabulary is closed and the identities are stated, so a traversal that would need a guess stops instead of inventing one. A finding the independent lenses cannot agree on is withheld rather than shown.
Every dashboard can show you that a product stopped selling at one branch. None can tell you why. ERP-Graphs reads the business’s ERP and CRM each night, rebuilds an operational graph, picks up a symptom and traverses outward to a cause — a transfer left in draft, a reorder level nobody ever set, units reserved against deposits nobody chased, a consignment sitting behind an unpaid supplier bill. It prices the loss and has the ranked findings waiting before the owner opens the dashboard in the morning.
It runs on a closed vocabulary with stated identities, so a traversal that would need a guess refuses instead of inventing one, and a finding its independent lenses cannot agree on is withheld rather than shown. One deployment per business; nothing crosses between them.
See it running on your own operation.
Tell us how your business runs today and we will walk you through ERP-Graphs on your own numbers, not a slide deck.
Request a demo