Computationally Eligible Inventory
Inventory that meets the representation, readiness, availability, verification, and actionability conditions required for AI-mediated consideration.
Description
Computationally Eligible Inventory represents the subset of total inventory that can participate in AI-mediated discovery and selection. CEI excludes inventory with Representation Deficit, verification gaps, or action constraints. CEI is a stock measure that affects potential Qualified Demand Capture. CEI can be measured as the ratio of eligible to total inventory units.
Related Concepts
Related Research
The Balance-Sheet Economics of AI-Mediated Demand
The migration of discovery and comparison from human-mediated search to AI-generated answers and agentic interfaces may alter the economics of acquiring and distributing demand in physical-asset markets. This paper examines how AI-mediated demand formation could affect customer acquisition costs, distribution dependency, contribution margins, and asset productivity in real estate and hospitality. We propose that zero-click—initially observed as a traffic problem—may transmit structurally into distribution cost inflation and ultimately appear as margin pressure. We formalize a transmission mechanism in which representation deficits may transmit through demand leakage, distribution dependency, and acquisition-cost inflation to contribution-margin compression, while lower qualified-demand capture may separately affect occupancy, time-to-match, and asset productivity. Contribution margin and asset productivity may subsequently interact through operating and reinvestment feedback effects. The paper introduces a measurement architecture designed for empirical validation: representation quality (VIS), readiness (GARI), market outcomes (ARS, PDD, CDL), financial impact (RAAC, CMP, RROI), and exploratory composite indices. The Verified Property Representation (VPR) is positioned as a proposed persistent representation layer intended to improve computational legibility—a testable intervention through which the paper's hypotheses may be validated.
Agent-Ready Market Infrastructure
Agent-Ready Market Infrastructure introduces the infrastructure layer for AI-mediated economies, specifying how economic entities, assets, and services can become discoverable, interpretable, comparable, verifiable, permissioned, and transaction-capable for AI agents. This document defines the Agent-Readiness Index (ARI) as a multiplicative measurement framework, the Global Agent-Readiness Index (GARI) for cross-border market access, universal Verified Property Records as persistent portable representation, jurisdictional legibility for legal interoperability, semantic portability for cross-system understanding, and computational eligibility as the prerequisite condition for allocative participation.
Related Primitives
Verified Property Record (VPR)
A canonical, machine-readable property record with verified attributes, trust signals, and action protocols designed for AI-mediated discovery and transaction coordination.
Actionability
The degree to which computational agents can act on the representation, including inquiry, booking, purchasing, verifying, comparing, or initiating workflows.
Computational Eligibility (CE)
CE(e) — The condition of being discoverable, interpretable, comparable, verifiable, permissioned, and actionable by artificial agents. Also referred to as AI Eligibility.