See what trade spend actually bought
Investment, volume and margin read together by channel. When volume rises and margin does not follow, the reason arrives tied to the agreement that caused it.
Sell-out by channel, trade spend, specs, registrations and distributor contracts live in other companies’ systems. Strattum resolves all of it as one product and serves that context to the AI your teams already use.
Investment, volume and margin read together by channel. When volume rises and margin does not follow, the reason arrives tied to the agreement that caused it.
The ERP code, the retailer’s barcode, the e-commerce name and the supplier spec resolved as the same product. The question stops depending on which system someone opened.
Label claims, registrations, the current price list and the category argument become on-demand answers, instead of a PDF someone posted to the group in March.
Each of them today ends in an email to regulatory, a spreadsheet consolidated by hand, or a call to the distributor.
The spec sits with R&D, the registration with regulatory, the artwork with the agency, and the rule changed at the last revision of the standard. Marketing gets all four as one answer, with the clause quoted.
What was ordered, what was delivered and what the contract allows arrive together, with the discount negotiated for that distributor. Sales opens the conversation knowing who is right.
Sell-in, sell-out, spend and margin read together by channel. When volume rises and margin falls, the cause arrives tied to the agreement that produced it.
Categories, the selling argument, the current price list and what may be promised at the point of sale. What is a ride-along today becomes an on-demand answer, drawn from material the company has already produced.
Strattum reads what reaches you: sell-out sent by distributors, chain reports, EDI, partner files and whatever is already in your ERP. The gain is not obtaining new data, it is resolving what arrives in different shapes as the same product and the same channel, which today is done by hand in a spreadsheet.
That is exactly what the Memory Graph is for: the ERP code, the barcode, the e-commerce name and the supplier spec become one product with several identifiers. The resolution is built with your team at the start of the project and stays versioned, so you can audit why two codes were treated as the same thing.
The answer always arrives with the source and with the version of the document in force on the date that matters. It does not replace regulatory approval: it shortens the path to it, because the lab report, the standard and the artwork arrive together instead of becoming three emails.
No. Strattum is the layer between those systems and the AI. They remain the system of record. What changes is that the product, the channel and the contract get resolved as one thing when someone asks.
A generic assistant answers from whatever it can search. What is missing is not the model, it is the context: which code belongs to which product, which amendment applied in that quarter, what the user is entitled to see. Strattum builds that layer once and serves any model, including the assistant you already have.
Inside your cloud. The entire platform is deployed in your infrastructure: AWS, Azure, GCP, OCI or on-prem. Strattum has no runtime access to the data, and your records, credentials, keys and network access never leave it.
Strattum
