Merchants embed a SuperNet SDK that requests temporary reads of a shopper’s “purchase-intent” vector (wish-lists, style, price sensitivity). AI merchandising engines then rearrange product grids, offer dynamic bundles, or trigger on-chain discount NFTs in real time—raising conversion while paying the shopper a share of incremental GMV via PoX fees. Down-funnel, a sales-assistant LLM can retrieve the same vector to tailor follow-up emails or chat. The result is a privacy-preserving alternative to third-party cookies and CRM silos.
