Abstract

SIGNAL-ANCHORED GROWTH ENGINE

ABSTRACT

The present disclosure provides a computer-implemented method for generating quantified, evidence-grounded sales opportunities from heterogeneous payment-network data. A governed knowledge substrate is maintained, having a semantic metrics layer that defines certified metrics decoupled from physical storage and a signal ontology and knowledge graph that models, as typed entities and typed relationships, clients, products, enrollment relationships between the clients and the products, and upsell-candidacy relationships between the clients and the products. A selection of a client and a product is received. A planner produces an ordered analysis plan. A quantitative analyst, a relationship analyst, and a market analyst execute concurrently, each reading from the governed knowledge substrate and writing a structured output into a shared typed state. A state reducer merges the structured outputs. A structured pitch artifact is synthesized from the merged shared typed state.

Figure 2

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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