💡 TL;DR
This article shows how to model realistic product cost scenarios in SellerLegend using real numbers — including changing supplier costs, fluctuating currencies, and shipment-specific pricing.
🧾 Example 1: Basic Cost Periods Over Time
Scenario:
You sell a Bluetooth speaker. Initially, the cost is $8.25 per unit. Later, the supplier increases prices to $9.10.
Start Date | End Date | Unit Cost | Notes |
---|---|---|---|
2024-01-01 | 2024-06-30 | $8.25 | Initial cost |
2024-07-01 | $9.10 | Price increase (new batch) |
Result:
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Orders placed Jan–June 2024 use $8.25 per unit.
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Orders from July onward use $9.10 per unit.
🧾 Example 2: Using Detailed View with Provider and Notes
Scenario:
You import yoga mats from two different suppliers. Each has a different cost structure and currency.
Start Date | End Date | Provider | Units | Total Paid | Currency | Exchange Rate | Notes |
---|---|---|---|---|---|---|---|
2024-01-01 | 2024-04-30 | Supplier A | 1,000 | 3,200 | USD | 1.00 | Initial US batch |
2024-05-01 | 2024-08-15 | Supplier B | 1,200 | 2,700 | GBP | 1.30 | UK batch at discount |
2024-08-16 | Supplier A | 1,500 | 5,100 | USD | 1.00 | Return to US supply |
Unit Cost Calculation (Detailed View):
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First row: Jan 1, 2024 to April 30, 2024 $3.20 per unit ($3,200 for 1,000 units)
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Second row: May 1, 2024 to August 15, 2024 £2.25 per unit → £2.25 × 1.30 = $2.93 USD
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Third row: August 16, 2024 to eternity, $3.40 per unit ($5,100 for 1,500 units)
Result:
Each order uses the appropriate per-unit cost based on the order date, supplier, and currency.
🧾 Example 3: Handling Gaps and Overlaps
Scenario:
You forgot to define a cost for May. Here’s the current cost timeline:
Start Date | End Date | Unit Cost |
---|---|---|
2024-01-01 | 2024-04-30 | $2.75 |
2024-06-01 | $3.10 |
Problem:
May 2024 has no cost period — SL will use $0 COGS, thereby causing your profit to be inflated artificially.
Fix:
Add a bridging period:
Start Date | End Date | Unit Cost |
---|---|---|
2024-05-01 | 2024-05-31 | $2.90 |
Now SL has complete coverage.
🧾 Example 4: Future Cost Planning
Scenario:
You know your manufacturer is increasing prices starting next month.
Start Date | End Date | Unit Cost | Notes |
---|---|---|---|
2024-01-01 | 2024-07-31 | $6.50 | Current batch |
2024-08-01 | $6.95 | Future-dated new cost plan |
Result:
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SL will use $6.50 until the end of July.
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From August 1st, orders will be costed at $6.95.
You can update the future row later if the price or quantity changes.
🧠Best Practices From These Examples
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Always cover the full date range with cost periods — no gaps!
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Use Detailed View if you’re working with international currencies or shipment-based tracking.
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Add future-dated rows to pre-empt known price changes.
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Add notes to explain why a cost changed — helpful when reviewing historical performance.
🧾 Example 5: Weighted Average Cost When Old and New Units Overlap
🎯 Use case: You still have stock from a previous shipment when a new shipment arrives at a different unit cost. You want to calculate the new average cost per unit for accounting purposes.
🔢 Scenario
You sell stainless steel water bottles. You had 500 units left from an older shipment when a new shipment of 1,000 units arrives at a higher cost.
📦 Inventory On Hand:
Batch | Units | Unit Cost | Total Value |
---|---|---|---|
Old Batch | 500 | $4.00 | $2,000.00 |
New Batch | 1,000 | $4.80 | $4,800.00 |
🧮 Weighted Average Cost Per Unit
You calculate the weighted average using:
Weighted Average Cost = (Total Cost of All Units) ÷ (Total Units)
Calculation:
Total Cost = $2,000 + $4,800 = $6,800
Total Units = 500 + 1,000 = 1,500
Weighted Average Cost = $6,800 ÷ 1,500 = $4.53
📅 COGS Entry in SellerLegend
You can now define a new cost period starting the day the new batch was received using the calculated average:
Start Date | End Date | Unit Cost | Notes |
---|---|---|---|
2024-01-01 | 2024-08-15 | $4.00 | Old batch |
2024-08-16 | $4.53 | Weighted average for mixed inventory |
🧠Best Practice Tip
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In SellerLegend, you cannot enter batch quantities per se — but you can use the Weighted Average Unit Cost as a proxy to reflect accurate profitability across overlapping inventory.
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This approach is particularly useful if you don’t track actual inventory depletion batch-by-batch.