OSARO unveils AutoModel AI-powered order fulfillment robots

OSARO, a global provider of machine learning-enabled robotics for high-volume fulfillment centers, has launched OSARO AutoModel.

The company says the launch of AutoModel signifies and advancement in its OSARO SightWorks perception platform.

Speed, adaptation play a major role in AutoModel

In order fulfillment, where speed is critical, businesses often face days or weeks of costly downtime to update their robots for new SKUs. In contrast, OSARO says AutoModel enables robots to automatically learn and adapt to new items, processes and workflows with zero downtime.

OSARO AutoModel accelerates the introduction and onboarding process of new SKUs, and increases robot productivity. These advancements, according to OSARO, allow for greater flexibility and efficiency in kitting, piece-picking and autobagging.

“In the fast-paced world of order fulfillment, the ability to adapt quickly to a dynamic mix of SKUs and market opportunities is crucial for success,” said Derik Pridmore, CEO of OSARO. “OSARO AutoModel revolutionizes robotic automation by eliminating the downtime and delays associated with introducing new products. It empowers businesses of all sizes in the e-commerce, manufacturing, distribution, 3PL and CPG sectors to gain a competitive advantage by offering their customers a superior fulfillment experience.”

OSARO AutoModel, the core AI engine within the OSARO SightWorks platform, expands the capabilities of AI-powered order fulfillment robots by empowering them to learn and adapt to new tasks and environments in real-time. OSARO AutoModel is well suited for high-volume piece-picking and kitting applications where robots need to quickly and accurately onboard thousands of SKUs, such as e-commerce, logistics and manufacturing.

Benefits of OSARO AutoModel include:

• Fast deployment: learn new SKUs quickly, minimizing training time and maximizing ROI
• Maximum autonomy: achieve high pick accuracy and efficiency with OSARO’s advanced AI perception algorithms
• Zero disruption: adapt to new SKUs, packaging and workflows without costly retraining or reprogramming
• Continuous improvement: benefit from real-time AI model updates and ongoing performance optimization

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