Karya Ellibeş
Founder
Qavis utilizes quantum algorithms for route optimization and decision-making to enhance last-mile delivery efficiency in urban environments. The platform achieves up to 30% faster deliveries while minimizing fuel consumption and carbon emissions, addressing the complexities of urban logistics.
Founder
Last-mile delivery in urban environments faces challenges such as traffic congestion, complex routing, and the need for efficient resource allocation, leading to delays, increased fuel consumption, and higher carbon emissions. Existing route optimization methods often struggle to adapt to rapidly changing conditions and fail to provide truly optimal solutions.
Qoordinate offers a quantum-enhanced route optimization platform designed to improve last-mile delivery efficiency. By leveraging quantum algorithms, the platform analyzes a multitude of parameters to determine the most efficient routes, optimizing both loading and delivery. The solution provides customized suggestions and flexible route options, allowing users to prioritize sustainability by selecting routes with the lowest carbon emissions. Qoordinate's technology extends beyond logistics, with applications in disaster response for resource allocation and in defense for ammunition transportation and strategic operations management.
The primary target audience includes logistics companies, disaster management organizations, and defense sectors seeking to enhance efficiency, reduce costs, and minimize environmental impact.