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| Snapshot Date | Units on Hand | Estimated Unit Cost | Inventory Value |
|---|---|---|---|
| Week 1 | 1,200 | 18.75 | 22,500 |
| Week 2 | 1,150 | 18.75 | 21,562.50 |
| Week 3 | 980 | 18.75 | 18,375 |
| Week 4 | 900 | 18.75 | 16,875 |
Average inventory connects stocking decisions to cash tied up in products. For a store carrying 1,200 units at the start and 900 units at the end, the simple average is 1,050 units. If the average unit cost is 18.75, that is 19,687.50 in average inventory value. These figures help plan reorder points and reduce overbuying.
Promotions can create sharp mid-period swings that a begin–end method misses. Using weekly snapshots like 1,200, 1,150, 980, and 900 yields an average of 1,057.5 units, slightly higher than the simple average. When flash sales occur, daily snapshots usually produce a more stable average and a clearer trend line.
Weighted averages are useful when inventory stays at certain levels for different numbers of days. If stock is 1,500 units for 10 days, 1,100 units for 12 days, and 800 units for 8 days, the weighted average is (1500×10 + 1100×12 + 800×8) ÷ 30 = 1,156.67 units. This better represents real exposure to holding costs.
With value-based averages, turnover indicates how fast inventory converts to sales. If COGS is 140,000 and average inventory value is 20,000, turnover is 7.00x for the period. If the period is 30 days, days inventory on hand is (20,000×30) ÷ 140,000 = 4.29 days. Lower DOI often signals leaner operations, but too low increases stockout risk.
Marketplaces, direct-to-consumer, and wholesale can have different demand patterns. Calculate averages by channel SKU groups to prevent one channel from masking another. A fast-moving SKU with 12x turnover can hide a slow SKU at 2x turnover if you only look at blended totals. Segmenting improves reorder timing and markdown decisions.
Align dates, valuation method, and COGS window. Use the same cost basis across snapshots, and avoid mixing landed cost with standard cost in the same period. If returns, backorders, or in-transit items are included, keep the rule consistent. Consistency makes averages comparable month to month and improves forecasting accuracy.
Use period snapshots for most ecommerce stores. Choose weighted averages when stock levels stay uneven for different day counts.
Yes. Turnover uses COGS divided by average inventory value. If you only have units, add an average unit cost to estimate value.
High turnover typically means inventory sells quickly. It can also indicate frequent stockouts, so confirm service levels and lost sales.
Weekly snapshots are a strong baseline. During launches or promotions, daily snapshots can reduce bias and reveal sharper demand changes.
Only if your accounting and planning consistently include it. Mixing rules across periods makes comparisons unreliable.
DOI depends on the period length and the COGS window. Ensure your COGS matches the same dates as your inventory snapshots.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.