Retail Fraud Investigations

Shoplifting, smash-and-grab, cargo theft and crime ring activity are all forms of Organized Retail Crime (ORC). Senzing discovers hard-to-find and intentionally hidden connections between the entities (people and companies) in an organization’s data. This enables your analytics systems to more easily and accurately flag suspicious people and their activities.

Fraudulent or excessive returns regularly involve stolen merchandise or manipulated receipts, often tied to known subjects of interest. Senzing connects that data and provides context (such as excessive returns or connections to fraudsters), improving the alerting in downstream investigative tools.

Loyalty program fraud involves the illicit acquisition, use or manipulation of loyalty points or rewards. Senzing helps detect this type of fraud earlier by accurately resolving entities across disparate data sources. Senzing also helps retailers identify when multiple loyalty program accounts are linked to the same customer.

Gift card fraud includes theft, counterfeiting and exploitation of gift card systems. Senzing can find connections in your entity data (email addresses, phone, etc.) that indicate possible gift card fraud, helping to detect it so you can prevent it.

Whether it’s employee theft, or staged slip-and-fall incidents, insider fraud is a growing threat.  By connecting internal data like references, applications and employee details, Senzing helps you identify suspicious relationships that indicate possible threats. 

Before hiring or onboarding employees, it’s important to know about any connections of concern, like relationships with previously identified fraudsters, employees terminated for cause, etc. Senzing enables this type of advanced analytics at the time of hire as well as continuously thereafter.

Our entity-centric approach and real time self-learning AI ensure the accurate detection of who is who and who is related to whom across different data sources, despite messy or inconsistent data. This improved 360 degree view of fraudsters, customers and employees makes it easier for investigators to detect and preempt fraud and accelerate their investigations.

Senzing relationship awareness reveals connections between seemingly unrelated entities. These connections may indicate fraud rings, fraudsters who are obfuscating their identities, or suppliers connected to countries, people or organizations you don’t want to do business with.

Senzing enables perpetual vetting, enhancing transaction monitoring and supply chain monitoring systems. By linking related entities across data sources, Senzing powers a comprehensive real time view of potentially suspicious activities.

Senzing entity resolution improves identity verification systems across channels by providing a complete 360-degree view of entities and all their relationships.  This helps to quickly identify legitimate customers and flag suspicious identities.

Senzing provides detailed explainability with full data provenance for every entity resolution decision. This accelerates investigations by building trust in the system’s outcomes and provides information that retailers can provide to law enforcement when needed.

Senzing operates entirely within your IT environment, ensuring data remains as private and secure as the environment in which it is deployed. No data ever leaves your systems, and no one outside your organization ever has access to your data or systems.