CYW
Achieving Operational Excellence At the Intersection of AI and Robotics
Modernizing
Supply Chain
Background
Founded in 1998, CYW Global Logistics started as a small warehousing and shipping firm in Southern California. Over two decades, CYW expanded its operations to over 12 countries, with major fulfillment hubs in Vietnam, Thailand, and Malaysia. Known for its white-label supply chain services, CYW quietly became a backbone for e-commerce brands across the U.S., handling everything from warehousing to final-mile delivery overseas.
As global demand surged post-2020, CYW found itself facing a new kind of pressure: their legacy systems and manual processes couldn't keep up with rising order complexity and labor shortages at their Southeast Asian facilities. That’s when they reached out to our AI consulting firm for a strategic transformation.
The Challenge
CYW’s offshore fulfillment centers were processing tens of thousands of SKUs daily. However, a mix of outdated warehouse management software and reliance on manual labor meant:
- High error rates in order picking
- Inefficient material handling leading to congestion and delays
- Low visibility into real-time inventory movement
They needed more than just automation—they needed intelligence. CYW didn’t want to simply install robots; they wanted to strategically deploy AI-powered robotics that could learn, adapt, and evolve with their business.
Our Approach
We partnered closely with CYW’s operations and IT teams to develop a three-phase transformation roadmap:
- AI-Powered Simulation & Modeling
Using their historical order and inventory data, we trained reinforcement learning agents to simulate various robotic deployments in a digital twin of their largest warehouse in Da Nang, Vietnam. This allowed us to identify bottlenecks before a single robot was installed. - Intelligent Robotics Integration
We introduced a hybrid fleet of autonomous mobile robots (AMRs) and robotic arms, each equipped with vision-based navigation and dynamic task allocation—driven by our proprietary AI orchestrator. This system optimized routing in real time, avoided collisions, and reallocated idle robots based on heatmap activity. - Continuous Learning Layer
Rather than hardcoding rules, we layered in continual learning models that updated weekly based on newly ingested operational data. These models improved picking accuracy, learned seasonal inventory shifts, and even predicted stockouts before they happened.
The Results
Within 9 months of deployment:
- Order fulfillment speed increased by 42%
- Picking accuracy improved to 99.3%, reducing returns significantly
- Warehouse throughput rose 37%, despite a 22% reduction in labor
- Return on investment (ROI) was achieved in just 11 months
What started as a cost-saving project turned into a competitive advantage. CYW now markets their AI-powered fulfillment system as a premium service tier to major e-commerce clients in the U.S., with plans to expand automation to three more sites this year.
Final Thoughts
CYW’s journey shows that AI isn’t just about replacing humans with machines. It’s about amplifying operational intelligence, optimizing decision-making, and building resilience into the very core of your logistics infrastructure.
In an increasingly competitive global market, CYW’s transformation proves one thing: strategic AI implementation isn’t optional—it’s foundational.
