Project Duration
May 2023 – July 2025 (26 months)
Team
24 employees led by Chief Engineer: Sarah Lee
Estimated Cost
$2.5 million
This project focuses on building a fully automated warehouse system to improve inventory management, order fulfillment, and supply chain efficiency. The solution involves robotics, AI-powered software, and real-time data tracking to ensure seamless operations.
Define system requirements and warehouse design (4 months)
Choose robotics, software, and hardware components (5 months)
Implement WMS with robotic operations (7 months)
Conduct trials and fine-tune processes (6 months)
Train staff and transition to full automation (3 months)
Provide monitoring and maintenance (1 month)
Manual warehouse management leads to inefficiencies, stock inaccuracies, and slow order fulfillment, causing delays and increased operational costs.
Enhances supply chain efficiency, reduces carbon emissions by optimizing logistics, and improves customer satisfaction through faster delivery.
The automated warehouse system increases operational speed, reduces labor costs, and enhances customer satisfaction through faster delivery.