Supply Chain Science
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Why Practitioners Are Right to Ignore This “AI Era” Vision for Supply Chain
Joannes Vermorel dissects an ‘AI era’ supply chain vision, arguing practitioners should ignore supra-economic slogans and focus on hard-currency trade-offs.
The Gmail moment for supply chains
Joannes Vermorel analyzes why legacy planning tools resemble pre-Gmail spam filters—and how Lokad’s probabilistic AI pilot automates supply chain decisions at scale.
Holimization: Why Optimization Is Not Enough
Joannes Vermorel introduces Holimization: why classical optimization fails in messy supply chains, and how reframing objectives, data and constraints turns failures into learning.
An opinionated introduction to supply chain
An opinionated introduction to supply chain that puts profit, automation and decision-making ahead of rituals, dashboards and forecast worship.
The State of “Probabilistic” Forecasting in Supply Chain (2025)
Joannes Vermorel analyzes the state of probabilistic forecasting implementation by supply chain planning software vendors.
Two templates for RFI and RFP on supply chain software
Joannes Vermorel shares two practical RFI and RFP templates for choosing supply chain software based on money, automation and evidence—not features or screenshots.
The Two Meanings of “Price” in Supply Chain
Joannes Vermorel explores the two meanings of “price” in supply chain—internal economic reading vs external commitment—and how separating them sharpens decisions and returns.
The SCOR of Supply Chain Belongs to History
Joannes Vermorel presents his take on why SCOR, once supply chain’s dominant scorecard, now belongs to history—and why modern supply chains must be run as algorithmic, money-based decisions.
Beyond the “One Plan” of IBP
Joannes Vermorel presents his opinion on why supply chain needs an economic engine, not a monthly planning ritual.
Rethinking Supply-Demand Alignment
Joannes Vermorel argues supply chain decisions should prioritize price-driven, shadow-priced constraints, not consensus forecasts.