Inventory turnover is one of the oldest metrics in business, and one that is used properly far too rarely. Everyone knows the formula: quantity sold divided by average stock. What almost nobody has: that number up to date, per SKU, without someone wasting an afternoon in Excel.
That is exactly what byrdAI's turnover report delivers, and in doing so it answers the real question behind the metric: which products are working for your money, and which are just blocking it? Get it from byrdAI.
A turnover of 6 per year means your stock converts into revenue six times a year. On average, each unit therefore sits for two months. A turnover of 0.5 means your goods sit for a notional two years. The same information, read the other way round, is the days of inventory (DIO): how many days does it take to sell through your current stock once?
Both are liquidity metrics. The slower the turnover, the longer your money is goods rather than cash, and the more storage costs each unit accumulates before it becomes revenue.
The portfolio average lies politely.
An overall turnover of 4 sounds solid. But it can mean: half the range turns nine times, the other half barely at all. The decision always sits at SKU level, and that is where many do not look closely enough.
The calculation is a chore.
Working out average stock over a period correctly needs stock history, not just today's figure. That is exactly why the metric is usually calculated once a year and then forgotten.
Without context it stays abstract.
Is 2.5 good? It depends: on margin, lead time and business model. What is missing is the translation from the number into an action.
Once connected, this is all it takes in Claude or ChatGPT:
"What was my inventory turnover last quarter?"
byrdAI calculates turnover and days of inventory per SKU from your real dispatch and stock data. With the ready-made dashboard prompt from the byrdAI page, that becomes a live dashboard whose centerpiece is a productivity matrix: every SKU as a dot, positioned by stock level and turnover speed. Four quadrants, four stories:
Dead capital first.
The SKUs in the bottom-right quadrant are your most expensive positions: high stock, barely any movement. For them the same cascade applies as with overstock: stop reordering, sell off, in the extreme case write off.
Protect your workhorses.
Products with high stock and high turnover cannot tolerate a stockout; every missed day costs the most there. For these SKUs, the reorder planner belongs on daily monitoring.
Define your own target value.
Rather than chasing industry benchmarks: derive your target turnover from lead time and desired coverage. Hold 60 to 90 days of coverage on a 30-day lead time and you land at a healthy turnover of 4 to 6; anything well below that deserves a look.
The quarterly metric with a memory.
"At the end of the quarter, calculate my overall inventory turnover and by demand band, and compare with the previous quarter." That turns a once-a-year metric into a time series, and trends become visible before they land in the annual accounts.
The decliner alarm.
"Let me know when a SKU drops from over 3 turns a year to under 1." A collapsing turnover is often the first signal of a demand problem, long before the slow-mover report triggers.
The purchasing briefing.
"Before my supplier meeting, create a list of all SKUs from this supplier with turnover, DIO and stock." Negotiate with these numbers and you talk about quantities and MOQs on equal terms.
The management summary.
"Phrase this quarter's turnover trend in three sentences for my investor update." Raw data becomes report-ready language, in seconds.
As a byrd customer, you connect byrdAI to Claude or ChatGPT in around 5 minutes and copy the turnover prompt from our byrdAI page or directly below this section. Not a byrd customer yet? byrdAI comes only with byrd fulfillment, as the first European 3PL with an MCP server. Talk to us.
How does byrdAI calculate inventory turnover?
Units shipped in the period divided by the average stock of the same period, per SKU and annualized. The days of inventory follow as the inverse: average stock divided by the daily dispatch quantity.
What is a good inventory turnover in e-commerce?
There is no universal figure. As a rough guide: 4 to 6 turns a year corresponds to 60 to 90 days of coverage and counts as healthy for most DTC ranges. What matters is your own trend and the comparison with your lead time.
What is the difference from coverage (days of cover)?
Coverage looks forward: how long will today's stock last? Turnover looks back: how fast did the stock actually turn? Together they give you the complete picture of plan and reality.
What does byrdAI cost?
During the beta, byrdAI is included free in your account for byrd customers.