AI for Robotic Automation Explained

In this ebook, we detail what AI and machine learning really is and why they matter when it comes to robotic automation for fulfillment operations explained in terms anyone can understand.

The AI Difference

When coupled with AI, our robots can learn from their collective experience and improve their efficiency over time.

Meet Shirley

“Shirley” runs a fulfillment center for a large retailer. Like many warehouse managers, she is looking to gain operational efficiencies through technologies such as advanced automation, artificial intelligence (AI), machine learning (ML), and robotics.

Robots can Learn

That means not only does Shirley get improved production operations in the short term by deploying robotic automation, but she also sees continuous performance improvements the longer the AI-enabled systems run, the more they learn better and faster techniques for handling individual SKUs and improved methods for processing in dynamic operations. Our AI-enabled robotic automation solutions can reduce operations expense by up to 70% and bolster facility throughput by up to 50%.

AI helps robotic systems handle more stuff - more SKUs, more packaging, and more parcel types. It also helps improve robot speed over time. By handling more SKUs and doing so faster, AI helps us help our customers in retail, eCommerce, and logistics grow their topline revenue.

But, Shirley’s first question was: “That’s all great - I want improvements over time, and the more volume your robots handle, the better - but how do I know your AI is going to work on Cyber Monday? How do I know it’s always going to get better?”

Download this ebook and find out the answer to Shirley's questions!


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