Control Tower vs Digital Twin: What the Comparison Articles Won’t Tell You
Both tools produce information. Your supply chain’s problem is usually decision rights. What the control tower vs digital twin comparisons skip, plus the side-by-side table.
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Forecast Value Add (FVA): The Only Forecasting Metric That Settles Arguments
Forecast Value Add scores every stage of your forecast against the stage that fed it, and against a naive baseline. A worked stairstep, how to run it in a spreadsheet, and how to read a negative result without starting a war with sales.
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Section 338 and the 50% Canada Tariff: The Procurement Playbook, Not the Legal Explainer
The 50% Section 338 duty on covered Canadian goods took effect on 22 August 2026, and USMCA origin does not exempt a single line. What the annexes actually cover, where the duty attaches, and the buy-forward math.
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AI Demand Forecasting: What the “20 to 50% Better” Claims Leave Out
Vendors claim AI demand forecasting cuts error 20 to 50%. The honest number is 10 to 20%. Here is how to read any vendor accuracy claim.
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How to Actually Reduce Forecast Bias (It’s Not the Algorithm)
Most forecast bias is an incentive problem wearing a modeling costume. A practitioner method: find it by product and customer, map it to who benefits, and separate the forecast from the target before you touch the model.
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Tariff Volatility: The Inventory Decisions That Actually Matter in 2026
Buffer inventory is a loan against a guess. The carrying-cost math on stockpiling, when nearshoring actually pays back, and a lane-by-lane framework for deciding between stockpile, nearshore, or pass the tariff through.
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MAPE vs WMAPE vs WAPE: When Each Forecast Metric Lies to You
MAPE and WAPE can tell opposite stories about the same portfolio. The worked example, the two lag-and-predictability cuts that make forecast KPIs actionable, and why bias needs tracking alongside either one.
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DIFOT vs OTIF: Same Metric, Different Games
DIFOT and OTIF share a formula. The measurement rules behind them can swing the same performance by ten points. The five decisions that decide your score, and where customer-experience scorecards are taking this.
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Agentic AI in Supply Chain: A Practitioner’s Reality Check
Gartner calls agentic AI a top 2026 supply chain trend. Only 10% of leaders trust it unsupervised. Practitioners who have lived the implementations explain the gap: data gatekeeping, Excel nostalgia, and process maps that say Bob knows what to do.
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Why S&OP Fails (and What AI Actually Fixes)
Most S&OP failures are political, not analytical. A practitioner breakdown of the six failure modes, a time-budgeted agenda that fixes them, and an honest look at what AI does and does not change.
