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prompt/edThe education hub

Learn the opsbehind the plan.

The open education hub where manufacturing and supply chain practitioners learn to forecast demand, run S&OP, and plan inventory. Written by practitioners, for practitioners. Free and indexed by search.

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AI in operationsCourse module

Module 8: Audit, compliance, and the board pack

The final module of the Planning Foundations course. How to close the planning cycle with a defensible record. Audit trails, regulatory compliance, and the board pack that communicates the plan to leadership.

13 minintermediate
AI in operationsCourse module

Module 7: AI agents and human-in-loop

The seventh module of the Planning Foundations course. How AI agents assist with the planning cycle, what human-in-loop actually means, and why the agent proposes and the planner disposes.

12 minintermediate
S&OP & IBPCourse module

Module 6: Scenario planning and what-ifs

The sixth module of the Planning Foundations course. How to model what-if scenarios without disrupting the baseline plan. The overlay approach, comparison, and promotion.

12 minintermediate
Inventory & supplyCourse module

Module 5: Supply netting and inventory policy

The fifth module of the Planning Foundations course. How to turn the locked demand plan into replenishment orders. Supply netting, safety stock, reorder points, and the gap analysis that prevents stockouts.

13 minfoundational
S&OP & IBPCourse module

Module 4: The S&OP cycle and sequential gates

The fourth module of the Planning Foundations course. How the S&OP process turns a forecast into a published plan. Sequential gates, consensus, cycle lock, and why most S&OP cycles take three days when they should take four hours.

14 minfoundational
Demand forecastingCourse module

Module 3: Forecast accuracy metrics

The third module of the Planning Foundations course. MAPE, WMAPE, bias, and forecast value added. How to measure accuracy so the number actually reflects reality.

13 minfoundational
Demand forecastingCourse module

Module 2: Statistical forecasting models

The second module of the Planning Foundations course. Exponential smoothing, ARIMA, and seasonal decomposition. What each model actually does, when to use it, and when it will fail.

14 minfoundational
Demand forecastingCourse module

Module 1: Foundations of demand planning

The first module of the Planning Foundations course. What demand planning actually is, who owns it, how it connects to the rest of the business, and the vocabulary you need before the rest of the course makes sense.

12 minfoundational
Data & integrationConcept

Your ERP data is stale. Here is how to fix it without a multi-year migration.

ERP data quality is the root cause of most planning failures. The fix is not a new ERP. It is a data layer that validates, deduplicates, and versions every record before it reaches your planning tool.

9 minfoundational
AI in operationsConcept

Human-in-the-loop is not a checkbox. It is a system property.

Most vendors claim human-in-loop. Very few implement it. The difference is whether the human has real choice at the decision point, with enough information and time to make a different decision. Here is how to tell the difference.

9 minintermediate
AI in operationsConcept

Audit trails for AI: what DPDP, CCPA, and the EU AI Act actually require

Three regulatory frameworks now require audit trails for automated decisions. The requirements overlap but are not identical. Here is what each requires, where they differ, and what to implement if you operate in all three jurisdictions.

12 minadvanced
Inventory & supplyConcept

The safety stock formula is not wrong. It is misused.

Every supply chain textbook prints the safety stock formula. Most practitioners apply it without checking whether its assumptions hold for their SKUs. When the assumptions fail, the formula produces confident nonsense.

10 minfoundational
S&OP & IBPConcept

Why scenario planning fails: the overlay problem

Most scenario planning tools copy the entire baseline plan and let you edit the copy. This breaks the moment the baseline changes. The fix is sparse overlays, and almost no tool does it correctly.

7 minintermediate
S&OP & IBPConcept

The 4-hour S&OP cycle is not a goal. It is a consequence of design.

Most S&OP cycles take three days because they are designed to take three days. The cycle time is a function of process architecture, not effort. Change the architecture and the time collapses.

8 minintermediate
Demand forecastingConcept

The M5 competition settled the ensemble question. Most planners haven't noticed.

The M5 forecasting competition was the largest controlled study of forecasting methods ever run. The results, published in 2022, are clear. Ensembles win. Here is what they showed, and why most planning tools still ship single-model forecasting.

10 minintermediate
Demand forecastingConcept

Forecasting intermittent demand: what Croston got right, and what came after

Croston's method has been the default for intermittent demand since 1972. It is still useful. But three decades of research have produced better alternatives. Here is what to use when.

11 minadvanced
Demand forecastingConcept

What MAPE actually tells you (and what it hides)

MAPE is the most quoted forecast accuracy metric in supply chain. It is also the most misread. Here is what the number actually means, what it conceals, and what to track alongside it.

9 minfoundational
Demand forecastingConcept

Why One Forecast Model Is Never Enough

Every SKU has a different demand fingerprint. A single model applied across the range hides the signal. The answer is not a better model. It is a blend of models, picked per series.

8 minintermediate
The AI Hype HangoverEditorial

AI Regulation in Industry 5.0: Why Ethical AI Is Harder Than It Sounds

There's a widening gap between what the tech world promises and what's actually being built on factory floors. Why ethical AI still means looking past the glossy presentations at industry conferences.

10 minadvanced
The AI Hype HangoverEditorial

When the Emperor's Code Has No Clothes

Discover why most enterprise AI projects are struggling to deliver ROI in 2025. From high-profile layoffs to the funding bubble, here's the harsh truth about GenAI ROI and where the actual value sits.

7 minintermediate
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