Decide assortment and pricing with more confidence
Sales, margin, inventory and supplier contracts read together. The team sees the deviation before month-end.
Store, e-commerce, POS, support and ERP each hold a piece of the same person and the same product. Strattum joins those pieces into governed context and serves it to the AI your teams already use.
Sales, margin, inventory and supplier contracts read together. The team sees the deviation before month-end.
Store, support and digital answer with the history, the product and the current policy.
Policy, procedure and product knowledge become on-demand answers, so new and seasonal staff stop depending on the manager.
Each of them today ends in a Slack request, a call to the store manager, or a report someone builds by hand.
The order is in e-commerce, the delivery is with the carrier and the exchange rule sits in a policy that changed during the campaign. The associate gets all three as one case, with the source of every claim.
Opening and closing, cash handling, returns and exchanges, loss prevention. What is a shadowing exercise today becomes an on-demand answer, drawn from the procedures the chain has already written.
Customer history, the applicable policy and the order details arrive together, with the exception that applies to that loyalty tier. The agent opens the conversation already knowing what they can offer.
Sales, margin, inventory and supplier contracts read together. When margin falls while sales rise, the reason arrives tied to the data that caused it, instead of becoming a question for the BI team.
Strattum connects the systems where that information already lives: ERP, e-commerce, the procedures base, the returns policy. The context is served to the AI the team already uses, over MCP or an API, and the answer comes with the source cited and with the version of the policy in force.
Opening, cash, exchanges, loss prevention: the knowledge that passes from person to person today is already written down somewhere in the chain. Organised as context, it becomes an on-demand answer, and new or seasonal staff ask instead of waiting for the manager to have time. The gain is largest where turnover is highest.
Connectors read with your own tenant’s credentials and preserve source permissions. The ACL filter is applied before ranking. Context a user may not see therefore never enters the material the answer is built from. Details on /governance.
No. Strattum is the layer between those systems and the AI. They remain the system of record. What changes is that the customer, the product and the policy 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 order belongs to which customer, which policy was in force on that date, 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
