Insights
Practitioner essays on supply chain AI, operating models, and intelligent orchestration - the thinking behind the lab.
From Visibility to Velocity: Why Supply Chain Observability Is the Missing Layer Between Data and Action
Why supply chain observability is the missing layer between visibility dashboards and autonomous action. Moving from tracking shipments to understanding system behavior.
Designing for asymmetry: re-thinking operating models for chaotic supply chains
Part 2 of the Asymmetry series: how to redesign supply chain operating models for chaotic, asymmetric networks. A practical framework beyond Newtonian planning.
The Chart That Should Worry Supply Chain - But Not for the Reason You Think
Newsletter Issue #2: The March 2026 chart that should concern supply chain leaders. Analysis of key tech sector signals and their impact on logistics and operations.
Blueprint #1: MCP + A2A - The Emerging Protocol Stack That Will Define Supply Chain Agent Architecture
Blueprint #1: How MCP (Model Context Protocol) and A2A (Agent-to-Agent) define the protocol stack for supply chain AI agent architecture. Visual technical reference.
The AI ROI Measurement Stack: How to Quantify What Finance Actually Cares About
A practical framework for quantifying AI ROI in supply chain and operations. Move beyond vanity metrics to the numbers finance actually uses for investment decisions.
Asymmetry as a Feature: The Hidden Architecture & Physics of Global Supply Chains
Why global supply chains are fundamentally asymmetric - and how understanding this hidden architecture reframes operations strategy, risk management, and digital transformation.