Delivery Hero Taps Incognia’s Location Tech to Fight Global Delivery Fraud

Incognia, a provider of location-based fraud prevention technology, has entered into a global partnership with Delivery Hero SE to help combat fraud across the company’s operations in nearly 70 countries. The agreement follows successful pilot deployments that demonstrated measurable fraud reduction benefits for several Delivery Hero brands.

Fraud Prevention at Scale in the Gig Economy

Incognia’s solution uses a combination of device intelligence and location behavior analysis to identify patterns associated with fraudulent activity. The system relies on passive signals such as GPS, Wi-Fi, and Bluetooth data, paired with device fingerprinting, to build trusted user profiles over time. This capability is part of Incognia’s recently launched digital identity platform, designed to authenticate users without disrupting their experience.

Six Delivery Hero brands have reportedly integrated Incognia’s platform into their fraud prevention systems. While exact implementation details have not been made public, the companies describe the integration as yielding a significant reduction in fraud losses. The technology targets emerging fraud patterns in the on-demand economy, particularly refund abuse and promotion fraud, which remain persistent threats to platforms with high-volume, low-margin business models.

Privacy-Centric Fraud Mitigation

Delivery Hero’s decision to implement Incognia’s solution also reflects an increasing emphasis on compliant fraud prevention. The company has previously faced scrutiny over data handling practices in certain markets, making the privacy features of Incognia’s system especially relevant. The platform is designed to operate without collecting personally identifiable information, instead focusing on behavioral signals at the device level to determine trust or risk.

For Delivery Hero, which operates food delivery and logistics services across Asia, Europe, Latin America, the Middle East, and Africa, the ability to stop fraud at scale while maintaining low-friction user experiences is a key operational priority. Fraud in the gig economy often involves multiple attack vectors – from fake accounts and chargeback schemes to device farms – requiring adaptive, location-aware technologies to stay ahead of evolving threats.

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By the ID Tech Editorial Team