Products & stock

Slow-Moving Stock: How to Identify It and Decide What to Do

SokoWise TeamSokoWise Team
•••9 min read
Slow-Moving Stock: How to Identify It and Decide What to Do

Slow-moving stock is inventory that sells more slowly than the business expected for that product, season, and buying cycle. It is a signal to investigate, not an automatic instruction to discount or write off an item. Compare sales, current quantity, age, replenishment lead time, product life, and the role the item plays in other sales. Some inventory teams use SLOB to mean “slow-moving and obsolete” stock. The terms are related but not identical: an item can move slowly and remain useful, while an obsolete item may no longer have a viable role or demand.

Separate slow-moving stock from obsolete stock

Slow-moving stock has lower demand or a longer selling cycle than the business planned for. It may still sell at a reasonable margin, serve a seasonal need, support a popular product, or be important as a spare part. Obsolete stock has lost a practical route to sale or use: it may be expired, unsafe, incompatible with current products, superseded by a new model, or no longer wanted by the customers the business serves.

The difference changes the decision. Slow-moving stock usually calls for a demand and purchase review: reduce future orders, improve visibility, transfer it to another location, or run a measured promotion. Obsolete stock may need to be returned, written down under the business's accounting policy, safely disposed of, or removed from sellable stock. Confirm accounting, tax, product-safety, and disposal obligations with the appropriate official source or qualified adviser before acting.

Worked SLOB review

Assume a retailer bought 100 portable chargers and sold 18 during the last 26 weeks. If the current sellable balance is 82, average sales were about 0.69 units a week and recorded cover is about 119 weeks (82 Ă· 0.69). At a unit cost of KES 1,000, roughly KES 82,000 remains tied up in this line before considering any holding costs. These figures flag a review; they do not prove that every remaining unit is obsolete.

The buyer should check whether all 26 weeks had the product available, whether demand is seasonal, whether customers can find the item, and whether a newer connector or device has made this model incompatible. If it remains compatible and earns useful margin, reduce the next order and test a small promotion or transfer. If it is no longer compatible with products customers use and no replacement market exists, stop replenishing and follow the business's process for returns, write-down, or disposal. Record the evidence and review date so the next buyer does not reorder automatically.

For a perishable product, the time to expiry may matter more than average cover. For a spare part, low sales may still be appropriate if it prevents service delays. Set review criteria for each group instead of applying one “no sale in 30 days” rule to the entire catalog.

There is no single monthly sales threshold that fits every business. A seasonal item, a new product, and an everyday staple need different review periods.

Start with reliable product and stock records

A useful review needs consistent product identifiers, units, and variant records. Confirm that the quantity on hand reflects sales, supplier receipts, returns, damages, and transfers. If a product has several sizes or colours, analyze each variant as well as the parent product; fast-selling variants can hide excess in slower sizes.

Choose a period that covers a meaningful sales or replenishment cycle. Use a longer window for seasonal or infrequently purchased products. Compare the same season across years when that history is reliable, and mark new items separately so they are not judged on an incomplete baseline.

Measures that help reveal slow stock

Units sold per week = units sold during the review period Ă· number of weeks.

Weeks of stock cover = current sellable quantity Ă· average units sold per week.

Sell-through rate = units sold Ă· (units sold + ending sellable stock) Ă— 100.

For example, if 39 units sold in 13 weeks, average weekly sales were 3. With 12 sellable units remaining, current cover is about 4 weeks. This does not say whether the stock is good or bad: compare four weeks with supplier lead time, normal demand, season, and the next purchase date.

SignalWhat to investigate
High stock coverIs demand lower, or did a large delivery arrive just before the review?
No recent saleIs the item seasonal, newly launched, unavailable to customers, or replaced?
High stock value and low movementHow much working cash is tied up, and can the stock be returned or transferred?
Expiry or model change approachingWhat is the safe selling window, and what happens to the item afterwards?
High sales in one variant and excess in anotherIs the product range or size mix wrong?

Use cost or selling value consistently when measuring inventory value. Do not compare figures built on different bases.

Diagnose the reason before acting

Check whether the item was visible, correctly described, priced as intended, and in stock when customers looked for it. Review promotions, competitor changes, customer feedback, substitution, product defects, supplier minimums, and delivery delays.

Ask whether the item is an accessory that supports a more profitable product, a required spare part, or part of a complete set. A slow item can have strategic value. Conversely, a product with regular sales may still be risky if it is perishable, obsolete, or difficult to replenish.

Separate errors in records from low demand. Perform a physical count or review movement history when the recorded quantity appears implausible. A stock adjustment should correct a verified discrepancy; it should not be used to hide unsold purchases.

Choose a measured response

FindingPossible actionMeasure afterwards
Demand is seasonalPlan purchases before the season and review after itSell-through and remaining stock
Product is hard to findImprove placement, description, or discoveryViews or enquiries and resulting sales
Price is out of line with valueTest a revised price or a clearly explained offerGross margin and units sold
Excess size or colour variantChange the next buy mix or offer a relevant substituteVariant-level cover
Supplier terms allow returnCompare return cost and credit with holding costCash recovered and fees
Item is obsolete or unsafeStop selling and follow appropriate write-off or disposal rulesStock record and compliance records

Discounts can move units while reducing gross profit. Calculate the lowest acceptable price after variable costs, fees, taxes, and any bundled item. A bundle should make sense to the customer and leave an acceptable contribution after all items are counted.

Worked example: compare variants before discounting

Assume a shop has 18 units of a blue medium shirt and 4 units of the same style in blue large. Over the last 12 comparable weeks, it sold 12 medium and 6 large. Average weekly sales are 1 medium and 0.5 large. The medium has 18 weeks of recorded stock cover; the large has 8 weeks. Those numbers suggest the medium deserves a closer look, but they do not automatically justify a markdown.

Before acting, check whether the medium was actually available for the full period, whether the sizes were displayed together, whether the selling season is about to begin, and whether the next supplier order can change the size mix. A small test promotion on the slow variant may be safer than discounting the whole style. Compare the resulting contribution and stock position after the test.

If a product has no recent sales, review its last sale date and remaining shelf life. For perishable goods, the cost of waiting may be high; for a spare part, a low sales rate may still support service quality. Document the reason for keeping, returning, reducing, bundling, or discontinuing an item.

Include cash tied up and holding costs

Inventory consumes cash before it produces a sale. Estimate the value of excess units at cost, then consider storage, insurance, expiry, damage, markdowns, and the time spent managing them. Do not reorder automatically just because an item crossed a calendar date. Compare expected demand during supplier lead time with sellable stock and confirmed incoming purchases.

A simple replenishment question is: “How many units will we likely sell before the next delivery could arrive, and how much extra do we hold for uncertainty?” The answer should reflect sales variation, supplier reliability, minimum order quantities, and product shelf life.

Make the decision visible to the next buyer

Record the review date, period used, quantity on hand, recent sales, expected demand, supplier lead time, and chosen action. If the decision is to hold stock, note the next review date. If you reduce a price, record the starting price, floor, quantity included, campaign dates, and the contribution result.

This history makes it easier to tell whether the action worked. It also prevents a later buyer from ordering the same quantity without knowing that the previous stock is still available or that a supplier return is pending.

For a new product, define a test quantity and a date to review demand before placing the next order. For a seasonal product, make the review date early enough to change the next seasonal buy. Match the review cadence to the lead time and shelf life rather than using the same calendar reminder for every item.

Common mistakes

  • Applying one “slow stock” rule to every item and season.
  • Looking only at the parent product and ignoring variant-level movement.
  • Treating a quiet week as proof that the product is obsolete.
  • Discounting below a profitable level without calculating all selling costs.
  • Reordering from an inaccurate stock count.
  • Deleting the item before checking whether customers still need it.
  • Ignoring supplier return terms or the cost of holding stock.

Review slow-moving items on a schedule that fits the business, document the reason for each action, and measure the result before repeating a promotion. For better variant records, read how to manage product variants, then use pricing calculations to test any discount.