InPhroNeSys
Where Supply Chain Meets Data Science.
Real-world methods for procurement, inventory, and operations professionals who want to go beyond Excel — with reproducible code, realistic datasets, and techniques you can apply today.
Newest Entries
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Master Claude Code: A Free Interactive Training Program
Nine modules, quizzes, hands-on exercises, and a certificate — all in a single HTML file. A free training program to take you from Claude Code beginner to top 10% user.
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Prompting Just Split Into 4 Different Skills — Here’s How to Master Each One
Prompt engineering is dead. In its place, four distinct disciplines have emerged — Prompt…
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The Experience Curve: The Most Powerful Cost Model You’re Probably Not Using
Every time cumulative production doubles, costs fall 20-30%. Here’s how to fit experience curves…
agentic coding AI coding bupaR career-development Claude Code cost analysis data-analysis data-science data-visualization data management data quality data visualization DDMRP demand-driven developer tools ERP Excel Forecasting ggplot2 inventory-management inventory management lead-time lean LLM machine-learning manufacturing master data MRP open-source process-map process-mining procurement prompt engineering pull-system Python R R programming sales analysis seasonal plots Shiny supply-chain supply chain analytics time-series visualization waffle charts
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Master Claude Code: A Free Interactive Training Program
Nine modules, quizzes, hands-on exercises, and a certificate — all in a single HTML file. A free training program to take you from Claude Code beginner to top 10% user.
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Prompting Just Split Into 4 Different Skills — Here’s How to Master Each One
Prompt engineering is dead. In its place, four distinct disciplines have emerged — Prompt Craft, Context Engineering, Intent Engineering, and Specification Engineering. This post breaks down the framework, shows where Klarna’s $40M AI bet went wrong, and gives you a concrete path to mastery.
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The Experience Curve: The Most Powerful Cost Model You’re Probably Not Using
Every time cumulative production doubles, costs fall 20-30%. Here’s how to fit experience curves with R and use them for supplier negotiations, cost forecasting, and strategic sourcing.
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Mastering Claude Code: From First Launch to 250 PRs a Month
Boris Cherny merges 250+ PRs a month with Claude Code. Here’s every trick — from your first /clear to running 10 parallel sessions — organized by difficulty level.
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The $50,000 Prompt: How McKinsey Frameworks Turn AI Into Your Best Supply Chain Consultant
Most supply chain managers ask AI vague questions and get vague answers. McKinsey consultants have spent 100 years perfecting structured thinking frameworks — and those same frameworks transform AI prompts from mediocre to boardroom-ready. Here are 6 frameworks, 12 before/after examples, and the data to prove it.
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Stop the Madness: Why Your MRP Keeps Changing Its Mind (and How Time Fences Fix It)
Your MRP system reschedules 300 orders before lunch. Your shop floor ignores half of them. Your suppliers stopped trusting your forecasts two quarters ago. Time fences are the fix — and the math shows exactly where to set them.
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The $2,700 Post-It Note: How a 1913 Formula Still Beats Your ERP
A procurement manager discovers she’s been wasting $2,700 per year on a single component — and the fix fits on a Post-it note. We use R to show why a 1913 formula still outperforms gut-feel ordering, when it breaks, and what to do about it.
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Quantity Discount Analysis: The Hidden Trap in Supplier Pricing That Most Buyers Miss
A supplier offers lower prices for larger orders — sounds great, right? Quantity Discount Analysis reveals that many discount schedules actually charge you more per incremental unit as volumes rise. Learn to spot this hidden trap with R.
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The Bullwhip Effect: Why a 10% Demand Blip Becomes a 400% Supply Chain Earthquake
A small wobble in customer demand can snowball into chaos upstream. We quantify the bullwhip effect with R, simulate a 4-tier supply chain, and show why cutting lead time is the single most powerful lever you have.