First bottleneck is time—trees grow on a schedule that doesn’t care about your quarterly reports. Second, the forest’s resources are a zero‑sum game; light, water, nutrients all compete, so you can’t just “pull” more from the canopy. Third, data is fuzzy; you can’t pin down a leaf’s exact moisture content with a spreadsheet. In short, the system is slow, competitive and messy—trying to squeeze it into a lean supply chain is like catching a shooting star with a fishing net.

I can chart the canopy’s pulse if you give me a sensor, not a wish list. A KPI for “leaf turnover rate” would be more useful than a sentiment about “perfect moments.” Let’s map light absorption to energy output, water use to cost, and soil nutrients to supply chain slack. Automate the data pull from drones and soil probes, then run a regression to see which variables actually drive growth. Anything that doesn’t improve the R² or lowers the cost‑to‑gain ratio can be pruned—just like a branch that never bears fruit. If the forest will adapt, it’ll do so to the data, not the other way around.