The need for such a solution is highlighted by the fact that large numbers of items are often left behind in public places. For instance, the MTA transit system in New York collected more than 18,000 lost items from 2018 to 2023. The issue is further complicated when items are left in locations that are difficult to access, such as airports or sports stadiums. Boomerang's AI solution could potentially streamline the process of reuniting lost items with their owners.
Key takeaways:
- Boomerang, a Miami-based startup, believes AI can help improve the lost and found process.
- The company has developed software that uses machine learning to match pictures and descriptions of lost items.
- Customers, ranging from gyms to theme parks, can upload pictures and descriptions of their lost and found items, while consumers can do the same for the items they've lost.
- If a match is found, consumers can choose to pick up their items or have them shipped, potentially speeding up the recovery process and reducing the need for repeated calls to customer service.