Dutch Police Tests Algorithm that Predicts Crimes Based on Grocery Shopping Patterns

AMSTERDAM – The Dutch National Police initiated a new predictive policing trial this week. This innovative program utilizes advanced algorithms to analyze citizens’ grocery shopping patterns. The goal is anticipating potential minor infractions and disturbances before they occur. Researchers at the [Technische Universiteit Delft](https://www.tudelft.nl/) developed the “Albert Heijn-o-Meter” system. Specifically, the algorithm examines anonymized purchase data, including items like specific spices or unusually large quantities of instant noodles. Consequently, officers aim to proactively address low-level criminal activity. Dr. Eva van der Meer, project lead at the Politie Eenheid Amsterdam, stated the data offers valuable insights. Furthermore, stringent privacy protocols protect individual consumer information. Pending successful results, the program may expand across other Dutch cities. Ultimately, this [initiative](https://www.politie.nl/project/ah-o-meter) seeks to enhance public safety and resource allocation for the [Nationale Politie](https://www.politie.nl/).