Inventory Dashboard Template
An inventory dashboard template tracking stock-on-hand by SKU, days of cover, turn rate, slow-movers, and dynamic reorder points — so you stop both stocking out on hot SKUs and tying up cash in slow ones.

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What's included
- Stock-on-hand by SKU with reorder point flags
- Days of cover at current sell-through rate
- Inventory turn rate (annualized)
- Slow-mover report (no sales in 60/90/180 days)
- Out-of-stock incidents and revenue impact
- Overstock report (>180 days of cover)
- Cost of goods tied up by SKU
- Open purchase orders and expected receive dates
- Source data on a separate tab
How to use this template
1. Set reorder points based on lead time + safety stock
Reorder point = (daily sales × lead time in days) + safety stock. The dashboard calculates this automatically per SKU; you only need to enter lead time and safety-stock factor. SKUs trending below reorder point trigger the flag.
2. Watch the slow-mover report monthly
SKUs with no sales in 60/90/180 days are usually candidates for: markdown, bundling, sunset, or returning to supplier. Cash tied up in slow inventory has a real opportunity cost. The dashboard surfaces this monthly so you act on it instead of letting it pile up.
3. Measure turn rate, not just inventory value
Inventory turn = COGS / average inventory. Higher turn = healthier business. Industry benchmarks: apparel 4–6x, electronics 5–10x, grocery 12–20x. Falling turn is one of the earliest signals of overstocking before it shows up in cash flow.
4. Track out-of-stock revenue impact
Out-of-stock isn't just a fulfillment problem — it's lost revenue. The dashboard estimates lost revenue from OOS events using historical sell-through rates. Surfacing the dollar amount makes the case for safer stock levels much stronger.
5. Build the days-of-cover view per SKU class
A blended "days of cover" number is misleading. Hot SKUs running at 5 days of cover are about to stock out; slow SKUs at 5 days of cover are well-stocked. Segment by velocity (top 20% / middle / long tail) and target days-of-cover separately for each.
Who it's for
- DTC and ecommerce operators
- Inventory and supply chain managers
- CFOs at physical-product businesses
- Small manufacturers and wholesalers
Frequently asked questions
- What's a good inventory turn rate?
- Industry-dependent. Apparel: 4–6 turns/year. Electronics: 5–10. Furniture: 3–5. Food/beverage: 12–20. Higher is better — capital turns more often. Compare against YOUR trend more than benchmarks.
- How much safety stock should I carry?
- Standard formula: safety stock = (max daily sales − average daily sales) × max lead time days. For volatile SKUs, this can run 2–4 weeks of cover. For predictable SKUs, 1–2 weeks. Set per-SKU, not blended.
- What's the difference between FIFO and weighted average costing?
- FIFO (First-In-First-Out) records cost based on the oldest inventory sold; weighted average uses the average cost across all inventory. FIFO matches physical flow for perishables; weighted average is simpler for non-perishables. Pick one and stick with it — switching mid-year creates accounting issues.
- How often should I do physical inventory counts?
- Cycle counts (rolling counts of a subset weekly) beat annual full counts. Target: every SKU counted at least quarterly. Annual full counts are accounting-mandatory in some jurisdictions; cycle counts catch shrinkage faster.
- When do I outgrow Excel for inventory?
- Around $1M+ annual revenue, 100+ active SKUs, or when inventory becomes multi-location. Cin7, Katana, NetSuite, Brightpearl, and platform-specific tools (Shopify's inventory features, Amazon FBA inventory tools) all replace the spreadsheet.
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When the template isn't enough
AppDeck's dashboards portal turns this template into a live workspace — version control, permissions, signatures, and analytics built in.