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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.