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Loss Prevention

StorePulse includes a loss prevention (LP) view that automatically calculates a risk score for each cashier based on their register activity. This helps you quickly identify cashiers whose behavior deviates significantly from their peers.

Enabling the LP View

On the Cashier Performance page, look for the LP toggle switch. Turn it on to switch from the standard cashier view to the loss prevention view.

Risk Score

Each cashier receives a risk score from 0 to 100:

Score RangeRisk LevelColor
0 -- 33LowGreen
34 -- 66MediumYellow
67 -- 100HighRed

The score is calculated based on how a cashier's metrics compare to the store average. A cashier whose void rate, cancel rate, or override rate is significantly higher than their peers will have a higher risk score.

How the Score Is Calculated

The risk score is a weighted combination of five metrics:

MetricWeightWhat It Measures
Void Rate30%Frequency and amount of voided transactions
Cancel Rate25%Frequency and amount of cancelled transactions
Override Rate20%Frequency of manual price overrides
No-Sale Rate15%Frequency of opening the drawer without a sale
Subtract Rate10%Frequency of subtract (negative) adjustments

Each metric is scored relative to the store average. A cashier who is right at the average scores near 0 for that metric. A cashier who is 2-3 standard deviations above the average scores near 100.

info

The risk score is a screening tool, not a verdict. A high score means a cashier's register activity is unusual compared to peers. There may be perfectly legitimate reasons -- for example, a cashier who handles the customer service desk will naturally have more voids and refunds. Always investigate before drawing conclusions.

What to Look For

High void rate

Cashiers with void rates far above the store average may be making frequent mistakes, or they may be voiding transactions for other reasons that need investigation.

High no-sale rate

Opening the cash drawer without a transaction is sometimes necessary (making change for a customer, for example). But a cashier with many more no-sales than peers should be asked about their pattern.

High override rate

Price overrides mean the cashier manually changed the price of an item. Occasional overrides happen (price check fails, customer disputes a price). But frequent overrides, especially on the same items, may warrant a review.

Combining signals

A cashier who is high on multiple metrics is a stronger signal than one who is high on just one. For example, a cashier with high voids AND high no-sales AND high overrides is a different profile than one who simply processes a lot of returns at the service desk.

Best Practices

  • Review weekly: Make it a habit to check the LP view once a week.
  • Look at trends: A cashier whose score jumps from Low to High in a single week is more concerning than one who has always been Medium.
  • Investigate, don't accuse: Use the data as a starting point for a conversation, not as evidence. Talk to the cashier, review camera footage if available, and check for situational explanations.
  • Document findings: If you investigate and find a legitimate explanation, make a note so you don't re-investigate the same pattern.
warning

Loss prevention data should be handled sensitively. Limit access to the LP view to managers and owners who have a legitimate need to see it. The standard cashier view (with LP toggle off) is appropriate for general team performance discussions.