With a successful AutoModel™ deployment at Korea's largest ecommerce company, OSARO is well-positioned to scale similar solutions across other global e-commerce leaders. This real-world implementation showcases how AI-driven automation can revolutionize fulfillment centers.

OSARO’s AI-Driven Automation Enhances Fulfillment Speed and Accuracy
OSARO's AI-Driven Automation Enhances Fulfillment Speed and Accuracy

Case Study from | OSARO

The opportunity

Korea's largest ecommerce company processes an immense volume of orders daily — shipping over 400,000 items per facility each day. With a rapidly growing distribution network and an increasing demand for efficiency, They needed a solution to optimize its outbound shipping process while ensuring accuracy and safety for its workforce.

 

The challenge

The warehouses operate 18-20 hours per day, requiring a high degree of precision to avoid errors in packing and shipping. Located in remote areas of Korea, the fulfillment centers face challenges in securing stable labor, making automation even more critical. Previously, workers manually handled and packed individual items into bags, a labor-intensive and repetitive process prone to fatigue and mistakes. With a SKU library of 250,000+ unique items, The company needed an intelligent, automated bagging solution that could handle a high mix of products while maintaining efficiency and accuracy.

 

The solution

OSARO’s AI-driven AutoModeltechnology provided the advanced vision, control, and learning capabilities necessary for the companies automated bagging process. By integrating OSARO’s robotic system into their fulfillment centers, the company could accurately identify, pick, and place single items into bags at high speed, ensuring each product was oriented correctly before sealing and shipping.

 

Key integration highlights

  • Smart scanning for SKU recognition and orientation, ensuring accurate bagging  while minimizing bag size
  • Piece-picking automation to move inventory from totes to OSARO’s robotic packing system
  • Double-pick avoidance technology ensures the correct number of items are processed
  • Positioned for large-scale expansion, with capacity to support 1,500+ autobaggers across multiple facilities

 

The OSARO team in Korea

At the start of the deployment, OSARO had no dedicated team in Korea. Within four months, the company established a local five-person engineering team to provide on-the-ground support for the company and future customers.

 

Key takeaways

  • Automation boosts efficiency and reduces labor strain.
  • AutoModel™ enables rapid SKU learning and minimizes downtime.
  • A strong partner network ensures seamless system integration.
  • Building a local team provides crucial on-site support for long-term success.

 

The future

With a successful AutoModel™ deployment at Korea's largest ecommerce company, OSARO is well-positioned to scale similar solutions across other global e-commerce leaders. This real-world implementation showcases how AI-driven automation can revolutionize fulfillment centers, improve accuracy, and drive long-term efficiency.

 

The content & opinions in this article are the author’s and do not necessarily represent the views of RoboticsTomorrow

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