Cash is still the Germans’ favourite form of payment. Around 60 percent of all purchases made at brick-and-mortar retail locations are paid for in this way. However, the large amounts of cash moved as a result repeatedly lead to attempts at manipulation by employees, as retailers complain. The low margins, especially of food retailers, are thus squeezed even further.

Classic attempts at manipulation involve, for example, the handling of empties, manual price corrections and returns. According to retail experts, the losses caused by employees easily amount EUR 800 million (source: 2017 EHI Inventory Differences Study). On average, German retailers operate at a loss level of around 0.5 percent of net revenue.

To remedy this, KPMG has developed intelligent algorithms to identify losses using scenario-based analyses and to reduce them significantly and sustainably. To do this, we use data from cash register journals, merchandise management and cash logistics, which we link together. An already existing extensive library of various analysis scenarios is enriched by practical cases from the user community and is thus continuously developed.

The reduction and prevention of losses due to fraud, theft and organisational deficits is ensured by an automated audit of stored pseudonymised data. All relevant data protection regulations are complied with.

Our solution is highly effective and efficient, as it detects a wide range of irregularities and dramatically speeds up branch audit work processes. The tool also helps to identify training needs and to relieve market management of routine tasks. Thanks to the simple and fast software implementation in existing infrastructures and high detection rates, our solution pays for itself very quickly.

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