In short: you stop the bleeding from stock loss by cross-referencing footfall data on the floor with financial activity at the till. Most mysterious shrinkage happens at the edges of the day, before the tills open and after they close, so review footfall daily in sensitive areas such as the stockroom: significant movement with no matching financial activity is a clear indication of something out of the ordinary, and lets you stop the damage before it builds into tens of thousands of shekels.

Nothing is more frustrating than running a quarter-end stock count and finding gaps of thousands — sometimes tens of thousands — of shekels. That is money taken straight off your net profit.

The trouble is that this shrinkage is a ghost. You know it exists, but you don't know when it happens, where it happens, or whether it is human error, theft or simply poor stock management.

Running a business without control over stock loss is like filling a bucket with a hole in the bottom.

The managerial problem

Your till software shows you what should be in stock according to sales, but it doesn't reveal unusual activity on the floor.

Are customers wandering around sensitive areas at hours when there aren't enough staff?

Is there unusual movement in the stockroom or by the tills around closing time?

Without cross-referencing footfall data against stock data, you are in the dark and only discover the damage when it is far too late.

The modern management answer

Modern management uses smart monitoring systems to identify unusual activity patterns.

The aim isn't only to catch the problem after the fact but to create deterrence and control that prevent the loss in the first place.

We are looking for movement that doesn't match normal selling activity.

💡 Putting it into practice: how do you stop stock loss?

1. Monitor the edge hours and the dead time

The main source of mysterious shrinkage — shortfalls nobody can explain — is usually at the edges of the day: before the tills open in the morning, or right after they close in the evening, when discipline around procedure slips.

To catch it, you have to cross-reference physical presence with financial activity.

  • The manual way — relying entirely on trust, or manually reviewing hours of video from the night or the early morning to try to work out whether someone was in the stockroom or by the sensitive shelves.
  • That is a Sisyphean process, it eats valuable management hours, and in practice it usually doesn't happen at all.
  • The technological way — at the end of each day you review footfall data in the sensitive areas (the stockroom or the premium-product zone, say). If the system shows significant movement during hours when the till software was switched off, and there is no matching record of a delivery from a supplier, you have a clear indication of unusual activity.

Being able to spot, in the daily data, movement in a sensitive area with no matching financial activity lets you put your finger on the hole in your pocket long before it becomes tens of thousands of shekels of accumulated loss.