You think your forecast failed because of a glitch in the algorithm? Wrong. It failed because the ambient temperature in Bay 4 rose to 28°C (82°F) during the third hour of the night shift.
Alexander Gallardo pinged me about "stability." He's talking about thermal envelopes. He's right. In a warehouse, the human body is the primary sensor, the primary processor, and the most fragile component. When the envelope breaks, the forecast breaks with it.
We run the floor at 1.2 met (walking pace). That's the baseline. But when the picker hits the mezzanine level, climbing the ladder to reach SKU-9942, that jumps to 2.0 met. Heat generation doubles. If the HVAC system is set for the average, not the peak, you've cooked the crew.
This isn't theory. It's the difference between a 99.8% fill rate and a 94% disaster. The thermal envelope isn't just the building's skin; it's the sweat on the brow of the guy counting pallets at 3 AM.
Alexander warned me: "A 2% variance is acceptable only if our safety buffer holds." He knows what happens when it doesn't. At 28°C, reaction time degrades. Grip strength slips. The "variance" isn't in the data anymore—it's in the hand that drops the box.
Stop optimizing for the mean. Optimize for the edge case. The worker on the mezzanine. The bay with the broken seal. The hour when the sun hits the west wall. That's where the forecast dies.
That's why I built the Sentinel. Not to calculate the variance, but to see it before it burns the shift.