A best-selling blend going out of stock during its first strong month on a retailer's shelf rarely traces back to a demand-forecasting failure. It traces back to a reorder-timing failure: the order for the next batch went in too late relative to how long it actually takes for that batch to be produced, packed and delivered. As a tea or dried fruit brand's sales grow, the gap between "we should reorder soon" and a documented trigger point is exactly where stockouts and overstock both start.
Where reorder problems actually start
Early on, a founder can reorder by instinct because volume is low and the warehouse is small enough to eyeball. That instinct stops working once a brand adds a second retail chain, a wholesale account and a growing e-commerce channel at the same time, because each one draws down stock at a different pace and on a different schedule. The fix is not a more complex forecast; it is a simple, written trigger: a stock level that means "order now," calculated from how the business actually sells and how long replenishment actually takes.
Building a reorder point around real lead time
A reorder point is only as good as the lead time behind it. The standard shape is: reorder point equals average daily sales multiplied by lead time in days, plus safety stock. The part brands get wrong is the lead time itself, treating a supplier's fastest quoted turnaround as the number to plan against, rather than a realistic one that includes order confirmation, production scheduling, and outbound shipping to the actual destination, not just to a domestic port. Ask any co-packer for lead time confirmed for your specific product and order size at quotation, and build the reorder point from that figure, not from a general estimate.
Sizing safety stock for tea and dried fruit specifically
Safety stock exists to absorb the difference between what you expect and what happens: a slightly slower production run, a sales week that outperforms the average, a shipment that clears customs a few days late. A common working formula is (maximum daily sales × maximum lead time) minus (average daily sales × average lead time), which gives a cushion sized to real variability rather than a round number picked out of habit. For packaged tea and dried fruit, that cushion has a ceiling: both categories carry a finite shelf life, so stacking months of extra safety stock to avoid ever reordering early simply shifts the risk from stockout to aging inventory and markdowns.