The Client is a company from Israel.
The project offers a robotic mini-load ASRS for goods-to-person order fulfillment and robotic warehouse automation.
The challenge was to create an adaptive, scalable and responsive system, using ML.
The robotic system can be installed in almost any warehouse since it adapts to the warehouse and the existing infrastructure.
We made it possible to easily integrate through documented APIs with the customer’s Warehouse Management System (WMS) for the system. The responsive system maximizes throughput by continuously optimizing the warehouse according to present and predicted orders. Also, project system can respond to sudden and unexpected challenges as it can easily be switched to manual picking and back to robotic picking in a matter of minutes.
Our professional IT team successfully completed the challenge and developed a robotic fulfillment solution for unit picking that increases order picking efficiency and storage capacity of warehouses, whilst improving the work environment of warehouse employees.
The system, due to its highly scalable and rapidly deployable modular architecture, can be gradually expanded and cope with fluctuating demands. This scalability allows customers to change the warehouse layout quickly and easily add additional parts, sections or warehouses as needed.