Reorder Point

The inventory level that triggers a new purchase order from suppliers.

1 min readLast updated Apr 2026
Reviewed by Golden Digital·Operator-reviewed ecommerce reference

The inventory level that triggers a new purchase order from suppliers.

Why It Matters

Reorder points prevent stockouts by ensuring you order before running out. Without automated reorder triggers, human error leads to missed reorders, emergency air freight costs, and lost sales. It's essential for consistent inventory availability.

Formula

(Average Daily Sales × Lead Time) + Safety Stock
Example: Daily sales: 25 units. Lead time: 21 days. Safety stock: 150 units. Reorder Point = (25 × 21) + 150 = 675 units

Practical Example

Scenario

A skincare brand sets reorder points for their core products.

Calculation

Daily sales: 25 units. Lead time: 21 days. Safety stock: 150 units. Reorder Point = (25 × 21) + 150 = 675 units

Result

When inventory hits 675 units, a PO is triggered automatically. This provides 21 days of normal sales plus 6 days buffer (150 units) for variability.

Pro Tips

  • 1Automate reorder point alerts—don't rely on manual inventory checks
  • 2Review and adjust reorder points quarterly as sales velocity changes
  • 3Factor in holidays/weekends in lead time calculations
  • 4Set different reorder points for high/low season if demand is seasonal

Common Mistakes to Avoid

Using the same reorder point year-round despite seasonal demand shifts
Not updating reorder points when lead times change (common with overseas suppliers)
Setting reorder points too low to minimize inventory (leads to stockouts)

Frequently asked questions

EOQ determines how much to order; reorder point determines when. Use both together: trigger a PO at the reorder point and order the EOQ quantity. This balances ordering costs with carrying costs while preventing stockouts.

For new products, estimate based on: similar product sales, marketing investment plans, and conservative forecasts. Start with higher safety stock (50% buffer) until you have 90 days of actual sales data to calculate properly.

Put it to work

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