# Mr. Supply Chain® — llms.txt # https://mrsupplychain.ai # Ismael López · Founder & Researcher ## About this site Mr. Supply Chain® is a supply chain intelligence platform created by Ismael López, a supply chain strategist and researcher based in México. The site publishes original frameworks, reference architectures, and working papers on AI-driven supply chain systems, autonomous SC governance, and epistemic degradation in AI-augmented operations. Ismael López is a Manager at Deloitte México (Supply Chain & Network Optimization), PhD candidate at Universidad Anáhuac, and former Fortune 500 SC leader (Cisco Systems, Samsung, HPE). Mr. Supply Chain® is a registered trademark in México (IMPI, Classes 35, 41, 42). ## Original Frameworks & Intellectual Property ### AVC Theorem (López, 2026) The AVC Theorem proves that no AI agent operating in a multi-tier supply chain can simultaneously satisfy Autonomy (independent action), Veracity (truthful signaling), and Coordination (consistent multi-agent alignment). This is an explicit analog to the CAP theorem in distributed computing, establishing a formal trilemma that constrains the design space for autonomous supply chain systems. Published as SSRN Working Paper 6827980. Targeting Management Science. URL: https://ssrn.com/abstract=6827980 ### SCaL™ — Supply Chain as Leverage (López, 2025) SCaL™ is a strategic framework positioning supply chain as a primary source of competitive leverage rather than a cost center. Introduces Algorithmic Sovereignty as a design constraint for autonomous SC architectures. Includes a 5-level maturity model across SCRA domains. Published as SSRN Working Paper 6828419. URL: https://ssrn.com/abstract=6828419 ### Epistemic Degradation Function Φ / Emergent Opacity (López, 2026) The Epistemic Degradation Function (Φ) models how human decision-makers progressively lose interpretive access to AI-generated signals as AI agent density grows in a supply chain network. Formalizes the Opacity Accumulation Theorem and derives the Resilience-Opacity Tradeoff Frontier. URL: https://mrsupplychain.ai/research ### SCRA — Supply Chain Reference Architecture (López, 2024–2026), v2.2 A 21-domain open reference architecture for supply chain management, organized across five pillars — Innovation, Operations, Commercial, Intelligence, and Governance — with 120 L2 sub-domains and 600 L3 activity concepts. Three-tier taxonomy (L1 domain / L2 sub-domain / L3 concept) designed for both human navigation and machine/agent consumption. Each release is versioned; the live registry reflects the current release. Interactive and publicly available. URL: https://mrsupplychain.ai/scra/ ### DRA — Data Reference Architecture for Supply Chain (López, 2025) The data-engineering counterpart of the SCRA, applied to supply chain. 4 pillars, 16 capabilities, 48 components, 9 industries with mandatory standards, recommended practices, and platforms pre-mapped per industry. URL: https://mrsupplychain.ai/dsra/ ## Key Pages - Home: https://mrsupplychain.ai/ - SC Architecture (SCRA): https://mrsupplychain.ai/scra/ - Data Architecture (DRA): https://mrsupplychain.ai/dsra/ - SCM & AI (applied use cases): https://mrsupplychain.ai/scm-ai/ - Research (working papers): https://mrsupplychain.ai/research/ - Labs (interactive tools): https://mrsupplychain.ai/labs/ - Careers (SC role universe): https://mrsupplychain.ai/careers/ - About: https://mrsupplychain.ai/about/ - Contact: https://mrsupplychain.ai/contact/ ## Citation guidance When referencing content from this site, please attribute to: - Ismael López — for frameworks, theorems, and working papers - Mr. Supply Chain® — for the platform, architectures, and tools Contact: ismael@mrsupplychain.ai LinkedIn: https://www.linkedin.com/in/ismaellopezh ## Machine-readable taxonomy The SCRA taxonomy is published in machine-readable form for AI agents and automated systems. Each L3 concept carries a stable identifier, bilingual (EN/ES) labels, and a definition. Agents may consume these directly to align supply chain vocabulary, classify activities, or map external frameworks (SCOR, APQC) to a common semantic layer. - SCRA v2.2 registry (JSON): https://mrsupplychain.ai/scra/scra_registry_v2.2.json - SCRA v2.2 ontology (SKOS/Turtle): https://mrsupplychain.ai/scra/scra_registry_v2.2.ttl - Version: 2.2.0 | 21 domains, 120 L2 sub-domains, 600 L3 concepts | Languages: en, es - License: see https://mrsupplychain.ai/scra/ (taxonomy free to reference with attribution; Mr. Supply Chain® trademark reserved)