A price recommendation from Omnia AI arrives already bounded by the item cost SAP Business One holds, so nothing that would sell below the floor ever reaches a shelf edge or a product page.
A pricing recommendation is only as safe as the floor underneath it. Omnia AI can propose a price from demand and competition all day, and none of that knows what the item cost, because the cost sits in SAP Business One and moves with every purchase. Without a connection somebody spot-checks a sample, approves the batch, and a line sells below cost for a month before a margin report catches it. Connecting SAP Business One and Omnia AI sends the cost and the floor with the request, so a recommendation that breaches it never reaches a shelf edge or a product page.

The item cost SAP Business One holds travels with each request, so a recommendation from Omnia AI is calculated against a real floor instead of being checked afterwards.
A proposed price that would breach the margin you set is held rather than published, so the review a person does is of exceptions instead of of every line in a batch.
Prices change on the schedule you choose rather than whenever a recommendation appears, which keeps a shelf edge and a webshop showing the same figure on the same day.
Because the floor is applied before anything is written, the question of who approved a price stops being answered by looking at who happened to run the import.
Alumio sends the SAP Business One item cost and the margin floor alongside the sales history Omnia AI reads, so a recommendation is produced against the cost the business is carrying this week rather than one from last quarter.
A recommended price that falls below the floor is held and flagged rather than written, so the pricing team spends its time on the handful of products where the answer is arguable instead of scanning a whole batch.
Approved prices are written back into SAP Business One as the price list change they are, on the window you set, so the ERP remains the place a price is recorded, audited and answered for when somebody asks who changed it.
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What a model needs to be trusted with a number is the whole question here, and cost alone is not all of it. A rebate and settlement tool is the common addition, because a product's real margin often depends on money that arrives quarterly rather than on the invoice, and SAP Business One holds the invoice while the rebate sits elsewhere. Alumio holds both connections, so the floor Omnia AI works to reflects what the business actually earns.
The window is what gets configured first: when prices may change and when a recommendation is allowed to take effect. Alumio reads item costs, current prices and sales history from SAP Business One, sends what you nominate to Omnia AI, and writes approved prices back inside that window. Recommendations arriving outside it are held, so a shelf edge and a site are never a day apart.
No, and the guardrail is the window rather than a script. Which SAP Business One fields Omnia AI sees, what the floor is, and when a change may be written are settings in Alumio's interface, which is what lets a pricing manager tighten the floor without asking for a release. Where a margin rule depends on more than one field, the Code Transformer takes that calculation.
The floor you send with the request, and it has to come from the ERP rather than be inferred. Omnia AI works from demand and competition, neither of which knows what SAP Business One paid for the item last week, so a recommendation is only safe if the cost and the minimum margin travel with the data it reads. Holding anything that breaches the floor is what makes the batch approvable at all.
Where the window is missed, the risk is a number nobody questioned, because a plausible price attracts no attention at all. Alumio connects to Omnia AI through its available API, as it would any reachable system, so a failed exchange is spotted the moment it happens and logged the same way as any other, alerts immediately with the item and the reason, retries where configured, and leaves the old price in SAP Business One rather than letting a stale recommendation through quietly.
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