Solving the "GenAI Divide" in Supply Chain
95% of enterprise AI pilots report no observable return. ChainLytix applies Capability Maturity Model (CMM) logic to identify which supply chain tasks are actually ready for Agentic AI.
The Literature Gap
Why 95% of AI Pilots Fail
Recent studies show that while billions are invested in GenAI, most tools fail to cross the pilot-to-production boundary.
Task-Technology Fit
Agents fail in equivocal tasks (like S&OP) but succeed in structured environments. We must measure "fit" before funding.
The Learning Gap
Most enterprise tools lack "agentic memory." They do not retain feedback or adapt to volatility, leading to abandonment.
Governance Maturity
Organizations lack governance structures to monitor autonomous agents, leading to "brittle" implementations.
The AI Implementation Research Toolkit
Operationalizing the "Trait-Constraint-Model" (TCM).
Included Frameworks:
1. The "Data Truth" Scorecard (.xlsx)
Measures "Data Integrity" and "Latency" to determine if your data can support autonomous agents.
2. The Algorithmic Due Diligence RFP
Technical queries on model robustness, hallucination rates, and "shadow AI" prevention.
3. The Trait-Constraint-Model (TCM)
Map your SCOR tasks (Plan, Source, Make, Deliver) against Agentic AI suitability.
One-time download.
Lifetime updates.
Secure checkout via Gumroad.
Operational Tools
Tactical resources for immediate implementation.
The Agentic Prompt Library
50 "Agentic" Prompts for Logistics & Planning
Stop using AI like a search engine. This library includes 50 Copy-Paste prompts derived from the "Act-Analyze-Output" framework. Includes prompts for Supplier Negotiation, Safety Stock Calculation, and Contract Auditing.
About the Researcher
Bradley Rogers is a Supply Chain Director and Doctor of Business Administration (DBA) candidate at Fairfield University.
His dissertation research, "Agentic Artificial Intelligence in Supply Chain Management," focuses on the "GenAI Divide"—identifying why 95% of enterprise pilots fail.
Visit Personal Website →Disclaimer: ChainLytix is an independent research hub and is not affiliated with NTT Data or Chainalytics.
© 2025 Bradley Rogers. All rights reserved.