Demand Forecasting
How to Reduce Stockouts and Overstock at the Same Time
Stockouts lose sales and overstock ties up cash. Here is how Malaysian retailers use Neura57 forecasting to cut both at once, per SKU and per branch.
Stockouts and overstock look like opposite problems, but they share one root cause: ordering without a reliable forecast. Neura57 attacks both at once by predicting demand per SKU per branch, then turning that forecast into reorder timing and quantity. The result is fewer empty shelves and less cash trapped in slow stock.
Here is how to think about it and how Neura57 helps.
Why you get both problems together
When ordering is based on gut feel or a flat reorder point, you tend to overorder the slow movers (to feel safe) and underorder the fast movers (because the point was set too low). So you carry too much of what does not sell and too little of what does. Both happen at the same time, in the same store.
The fix is a forecast, not a bigger buffer
Adding more safety stock everywhere just turns stockouts into overstock. The real fix is a demand forecast that is specific to each SKU and each branch, so each item is ordered to its own real demand.
Neura57 forecasts demand using an XGBoost model trained on your own sales history. It learns seasonality, day-of-week patterns, branch differences, and trend, then projects demand forward over a 30 to 90 day horizon.
From forecast to action
A forecast only helps if it changes what you order. Neura57 closes that loop:
- Reorder suggestions with supplier lead time built in
- Dead stock warnings so slow movers are caught early
- Per-branch recommendations, because demand differs by location
- Alerts on WhatsApp and Email so the order happens on time
What to expect, honestly
Forecasting reduces both stockouts and overstock, but it is not magic. Accuracy depends on history: roughly 12 months of clean data gives a solid seasonal forecast, and more is better. New SKUs lean on similar-product history until they build their own. Neura57 is clear about confidence, so you know which numbers to trust.
A practical first step
Start with your top moving SKUs and your worst dead stock. Those are where a forecast pays back fastest. Neura57 connects to SQL Account, AutoCount, or StoreHub and can show forecasts on those items within days.
Request a demo and we will forecast a sample of your SKUs on your own data.
The Neura57 Team
Retail Intelligence at 57 Codebox
The team behind Neura57 at 57 Codebox Sdn Bhd. We have built enterprise software and AI systems for Malaysian businesses since 2017, with hands-on work in AWS Bedrock, Cube Core semantic modelling, and machine learning forecasting for retail and F&B operators.