Supply Chain Planning fails when it becomes a reporting cycle instead of a control layer. The value is not another forecast. It is knowing when the signal can be trusted, where supply will break, what the financial exposure is, and which decision must change before volatility becomes service, inventory, or cash exposure.
A diagnostic view of the planning problems companies keep hiring for: signal trust, infrastructure, supply feasibility, financial translation, and scalable governance.
Case-based evidence drawn from 18+ years across BASF, Bayer, Medtronic, and business expansion environments. The cases are problem-first and tied to measured operating consequences.
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Field-grounded perspectives on the planning problems that matter in 2026.