Challenge

Company A grappled with the complex puzzle of warehouse storage optimization. It faced inefficiencies as goods with low turnover rates consumed precious space, and box allocation proved suboptimal, which inflated operational expenses and slowed down order fulfillment.

Solution

Leveraging NVIDIA software, including Omniverse for synthetic dataset generation and TensorRT for AI inference, along with hardware such as Siemens IPC 520A based on the NVIDIA Jetson Xavier NX GPU, the team deployed AI models for real-time goods analysis and storage optimization.

Project Highlights

In just three months, our MVP project engineered a system able to recognise incoming goods and ensure optimal storage strategies. The implementation leads to reduction in operational costs, and increase in order fulfillment speed.