Wondering how long your current stock will last?
The Stock Cover Report helps you estimate that. It calculates how many days your inventory can sustain your current sales rate — helping you make smarter restocking decisions and avoid both overstocking and stockouts.
🧩 What Are Stock Cover Days?
Stock Cover Days tell you how many days your current inventory is expected to last based on your average daily sales.
It’s a quick way to answer:
“If I keep selling at this rate, when will I run out of stock?”
⚙️ How It’s Calculated
Formula:
Stock Cover Days = Inventory Quantity ÷ Average Daily Sales
Let’s break that down:
Inventory Quantity (Available Inventory) – The total number of units currently in stock (adjusted for thresholds or buffers).
Average Daily Sales – The average number of units sold per day over a selected period (e.g., the last 7 or 30 days).
📏 Understanding Inventory Quantity
Inventory Quantity (or Net Inventory) represents the actual stock available for sale, considering your threshold setup.
Depending on the Threshold Type you choose in the report’s Scope section, the system calculates it differently:
Manual (Inventory Quantity) – The system subtracts your defined threshold (or buffer) from your current inventory.
Formula: Inventory Quantity = Current Inventory – Threshold
This means your “days to cover” calculation only counts stock above your buffer.
Default sales period: last 7 days
Dynamic – The system automatically uses your full inventory and calculates thresholds based on historical product performance over a selected base period.
Formula: Inventory Quantity = Current Inventory
💡 Tip:
A threshold acts as your safety buffer. It ensures you don’t sell past a minimum stock level — giving you time to restock before you hit zero.
📊 Understanding Average Daily Sales
Average Daily Sales = Total Sales ÷ Number of Days
When using Manual (Inventory Quantity), the default number of days is 7.
When using Dynamic, the system uses the Base Period you select (e.g., 30 days, 60 days, etc.). This allows you to compare short-term versus long-term sales trends when estimating your stock coverage.
🧮 Example Calculations
Manual (Inventory Quantity)
Inventory Quantity on Hand: 30 units
Threshold Value: 3 units
Total Sales (last 7 days): 40 units
Net Inventory: 30 – 3 = 27 units
Average Daily Sales: 40 ÷ 7 = 5.71 → roundup to 6
Stock Cover Days: 27 ÷ 6 = 4.5 days
🧠 Meaning: You have about 4–5 days of stock left before you hit your buffer.
Dynamic
Inventory Quantity on Hand: 30 units
Scenario 1:
Total Sales: 400 units over 365 days
→ Average Daily Sales = 400 ÷ 365 = 1.09 → roundup to 2
→ Stock Cover Days = 30 ÷ 2 = 15 days
Scenario 2:
Total Sales: 150 units over 60 days
→ Average Daily Sales = 150 ÷ 60 = 2.5 → roundup to 3
→ Stock Cover Days = 30 ÷ 3 = 10 days
🧠 Meaning: Based on your selected time frame, you can see how stock longevity changes depending on demand trends.
🚨 How the App Interprets Results
Based on the calculated values:
Condition | Interpretation |
|---|---|
0 sales | No Sales Data – no basis for stock coverage. |
0 or negative inventory | Below Stock Threshold – stock is at or below buffer. |
Positive inventory and sales | Days to Cover – number of days remaining before stock depletion. |
🏁 Why Stock Cover Matters
Forecast with confidence – Know exactly when to reorder.
Avoid stockouts – Get alerts before you run too low.
Spot overstock early – Identify slow-moving items.
Improve cash flow – Keep just the right amount of stock.
📝 Things to Keep in Mind
Stock Cover Days can’t be calculated if a product has no sales or available inventory during the selected period.
Sudden sales spikes or drops may affect the accuracy of the result.
The calculation provides an estimate, so always consider trends, upcoming promotions, or seasonal demand when interpreting the report.
In Summary
The Stock Cover Report gives you a clear view of how efficiently your inventory is being managed.
By understanding Stock Cover Days, Thresholds, and Average Daily Sales, you can make proactive decisions — keeping your stock healthy, your shelves full, and your customers happy.
