Human trafficking is the third-largest international crime industry – behind illegal drugs and arms trafficking – which makes profits of $32 billion annually. The U.S. State Department estimates that 600,000-800,000 people are trafficked across international borders every year, with 80% of these victims being women and children who are forced into commercial sexual exploitation.
Data is siloed within and across organizations.
Data sharing is challenged by standardization and privacy.
No central repository of insights exists to allow organizations to act with more intelligence.
Bus stops. Airports. Border-crossing stations. These are the critical locations where a life-saving intervention can happen at an otherwise hidden, untraceable route.
Being able to identify potential victims of human trafficking in these country-exit points requires a dynamic strategy capable of constant change. On-the-ground agents look for warning signs and interview potential victims to learn about their demographics and reasons for leaving the country. But as patterns emerge, traffickers switch their methods to avoid detection.
ReRoute collects and analyzes data on border- and transit-monitoring. It uses machine learning to recognize patterns in data, identify changes in victim origination and alert organizations when they’re investigating traffickers who are being investigated by another organization on our platform.
Our easy-to-use mobile application makes it possible to securely collect data in the field. No matter how remote the location, data can be logged in a secure and timely manner using ReRoute Mobile.
By leveraging data from different organizations, it promotes best practices and helps organizations identify connections they might’ve otherwise missed.
It filters out irrelevant noise and sees larger trends across locations, helping organizations better identify the situation as a whole.