Mistake 1: Not Tracking Stock at All
This is the most common and most costly mistake. Many duka owners rely on memory or a quick glance at the shelves to know what is in stock. The result is stockouts on popular products, overstocking of slow movers, and no way to detect theft.
The fix: Start tracking. Even a simple notebook is better than nothing. A stock management app is much better — it records every sale and stock change automatically, so you do not need to rely on memory.
Mistake 2: Not Setting Reorder Points
Without a clear reorder threshold, you only realise a product is out of stock when a customer asks for it. By then, you have already lost sales — possibly to a competitor down the road.
The fix: For each product, decide the minimum quantity that should trigger a reorder. This depends on how fast the product sells and how long it takes your supplier to deliver. An inventory management system can alert you automatically when stock drops below the threshold.
Mistake 3: Ignoring Slow-Moving Stock
Stock that sits on your shelves for weeks is tying up cash that could be invested in products that actually sell. Many shop owners keep reordering the same products out of habit, even when sales data (if they had it) would show that some items barely move.
The fix: Review your product sales at least monthly. Identify items with low or zero sales. Consider discounting them to clear the shelf, returning them to the supplier, or simply not reordering them next time.
Mistake 4: Not Counting Stock Regularly
Even with a digital system, physical stock counts are necessary. Without them, you will not catch shrinkage (theft, damage, expiry) until the numbers become glaringly wrong.
The fix: Do a full physical stock count at least once a week. Compare the count to your records. Investigate any discrepancies. A few minutes of counting can save you from losing much more in undetected shrinkage.
Mistake 5: Treating All Products the Same
Not every product deserves the same level of attention. High-value, fast-moving items need tighter tracking and more frequent reordering. Low-value, slow-moving items need less attention but should still be monitored for dead stock.
The fix: Prioritise your attention. Use the ABC analysis approach:
- A items: Your top 20% of products by revenue. Track these closely and never let them run out.
- B items: Medium movers. Track regularly but with less urgency.
- C items: Slow movers. Monitor for dead stock and consider whether they are worth carrying.
Mistake 6: Not Recording Non-Sale Stock Movements
Products leave your inventory for reasons other than sales: damage, expiry, personal use, samples, and — unfortunately — theft. If you only track sales, your stock count will slowly drift from reality.
The fix: Record every stock movement, not just sales. When you throw away expired milk, log it. When you give a sample to a customer, log it. This way, your records accurately reflect what happened to your stock.
Mistake 7: Buying Based on Gut Feeling
Without sales data, ordering decisions are based on gut feeling and habit. You might overorder a product because "it used to sell well" or underorder something that is actually gaining popularity.
The fix: Let your sales data guide your purchasing. If you use a POS with inventory tracking, you can see exactly how fast each product is selling and order accordingly.
Mistake 8: No Separation Between Business Stock and Personal Use
Taking products from the shop for personal use without recording it is a form of inventory leakage. It seems harmless for small items, but over time the numbers add up.
The fix: If you take something from the shop, record it — either as a sale to yourself or as a stock adjustment. Your business records need to account for everything that leaves the shelves.
Start Fixing These Today
You do not need a perfect system to improve. Pick the one or two mistakes you are making right now and address them this week. If you want a system that handles most of these automatically, try Duka Digital — it tracks stock, alerts you on low items, and gives you the data to make better purchasing decisions.