How do demand fluctuations impact inventory optimization?

Demand fluctuations increase the risk of both overstock and stockouts. Without adaptive planning, companies either carry excessive safety stock or fail to meet demand. Dynamic optimization helps balance service and working capital. The trade-off is not symmetric across SKUs, which is why blanket coverage rules tend to misallocate stock. Probabilistic optimization sizes the buffer to the actual demand uncertainty of each SKU period, so working capital concentrates where it genuinely protects service and shrinks where it would only generate waste. The result is steadier service level at lower total inventory, with replenishment decisions that adapt continuously as demand profiles change rather than waiting for the next quarterly review.