Blog

Supply chain planning, from the people who build the tools

Six Weeks Before the Stockout: What Demand Data Actually Tells You

Most stockouts aren't surprises. They're signals that sat in the data for six weeks. Here's what to look for.

May 22, 2026 Priya Nair

Forecasting at the product category level hides the SKU-location pairs that actually run out first.

May 2, 2026 Jonas Wehr

Dirty transaction records distort every forecast downstream. Fixing data at the source versus compensating in the model.

April 8, 2026 Camille Osei

We interviewed 14 supply chain planners about their Monday morning routine. The pattern was depressingly consistent.

March 18, 2026 Jonas Wehr

Service level x lead time variance sounds clean in theory. Real warehouse data tells a different story.

February 24, 2026 Marcus Feldman

Carrying cost + opportunity cost + warehouse space + working capital. Most teams only count one of these.

February 3, 2026 Priya Nair

Year-over-year multipliers collapse when your demand shape shifts mid-season. What ML models do instead.

January 13, 2026 Jonas Wehr

MAPE fails on intermittent demand. WMAPE favors high-volume SKUs. sMAPE has its own edge cases. Here's how to choose.

December 15, 2025 Camille Osei

What data fields actually matter, which ones planners routinely leave dirty, and how to clean them without a data team.

November 20, 2025 Marcus Feldman

When supplier lead times fluctuate 40%, fixed reorder points stop working. Probabilistic lead time modeling explained.

October 28, 2025 Priya Nair

Pushing inventory to the wrong DC first is easy to do and expensive to unwind. How location-level forecasting changes the calculus.

September 30, 2025 Camille Osei

Most companies under 500 employees have one planner doing the work of three. What we've learned from working with them.

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