ABC Analysis Calculator
Classify inventory into A, B, and C categories based on annual value using Pareto analysis to prioritize stock management efforts.
Identify slow-moving inventory where demand falls below a threshold. Calculate excess stock value and recommend disposition actions.
Slow-moving inventory consists of items whose demand falls below a defined threshold — for example, less than one unit per month on average. These items may still sell occasionally, but carrying them in quantity ties up capital and warehouse space disproportionate to the revenue they generate.
Unlike dead stock (zero demand), slow movers present a nuanced challenge: you need some stock to serve occasional orders, but excess quantities above a reasonable coverage period represent waste. The key metric is excess value — the cost of units beyond what you need for a defined forward-coverage period.
This calculator helps you flag slow-moving items by comparing actual demand to a threshold, then calculates the excess units beyond a target months-of-supply and their associated value.
Use the result to compare operating scenarios, pressure-test assumptions, and rerun the model when volumes, rates, or service targets change.
Slow-moving inventory accumulates quietly and can represent a significant portion of total inventory value. This calculator quantifies the excess so you can take targeted action — reducing reorder quantities, running promotions, or negotiating returns with suppliers — before slow movers become dead stock.
Slow-Moving Flag: If Average Monthly Demand < Threshold, item is slow-moving.
Target Stock = Monthly Demand × Target Months of Supply
Excess Units = max(On Hand − Target Stock, 0)
Excess Value = Excess Units × Unit CostResult: Excess Value = $1,140
Monthly demand of 2 is below the threshold of 5, so this item is slow-moving. Target stock = 2 × 6 = 12 units. Excess = 50 − 12 = 38 units. Excess value = 38 × $30 = $1,140 that could be freed up through disposition.
Most warehouse management systems can generate slow-mover reports by filtering SKUs with demand below a threshold over a rolling period. Export the data and use this calculator to quantify the excess value for each item. Aggregate the results for a total slow-mover exposure figure.
Slow movers that receive no intervention tend to become dead stock over time. Regular review — at least monthly — and proactive disposition strategies prevent the escalation. Set automated alerts when items cross from slow to non-moving status.
Be cautious with seasonal or project-based items that may appear slow during off-seasons. Overlay demand history with seasonal patterns or project timelines before flagging an item for disposition. A more nuanced approach uses forecast-adjusted demand rather than raw historical averages.
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Slow-moving inventory is stock with demand below a defined threshold. Unlike dead stock with zero demand, slow movers sell occasionally but not enough to justify the quantity held in stock.
The threshold depends on your business context. Common approaches include a fixed number (e.g., <5 units/month), a turns-based rule (e.g., <2 turns/year), or a percentile cut-off (bottom 20% of SKUs by velocity).
Options include discounting the excess quantity, bundling with faster-moving items, returning to suppliers, selling through secondary channels, or reducing future reorder quantities to gradually deplete the excess. Review your results periodically to ensure they still reflect current conditions.
Target months of supply should cover your replenishment lead time plus a small safety buffer. If lead time is 3 months, keeping 4–6 months of supply for slow movers is reasonable.
Not exactly. Excess inventory is the quantity beyond what is needed for a defined forward period. A fast-mover can have excess if overstocked. Slow-movers are identified by low velocity and typically have excess simultaneously.
Capital tied up in slow-moving excess cannot be used for higher-return investments. Additionally, ongoing carrying costs (storage, insurance, taxes) drain cash. Freeing this capital improves working capital ratios and operational flexibility.
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