


Most retailers already have the data. What they lack is a trusted way to turn it into action.
Unframe meets top industry standards for security and compliance. We embed all default controls that enterprise teams expect:
By connecting POS, ERP, and inbound supply data into a daily forecast at the SKU and store level, the reorder call reflects real sell-through, not last month's sales report.
Tracking purchase orders and vendor communications to flag delays or missing confirmations before they become a missed shipment, instead of finding out the day delivery doesn't show.
Most retail stacks were built in stages, by different vendors, over years. Unframe connects them directly, no migration required.
Days for the first solution. Faster for every one after that, since each new use case reuses the data connections already in place.
Because staffing an AI team isn't your core business: selling product is. Unframe runs the AI as a managed service, so your team stays focused on retail, not software.
General AI assistants summarize and draft; they weren't built to make a reorder, markdown, or supplier call on your actual retail data. Unframe is built specifically for those decisions, and runs alongside whatever AI tools you already have.
One that works inside the systems you already run, not one you have to migrate into. Unframe connects POS, ERP, and supplier data directly into your existing planning process for sharper, store-level forecasts.
Because they're built apart from the systems that would make them useful day to day. Unframe is deployed inside your existing stack from day one; there's no separate pilot phase to graduate out of.
