With thousands of orders placed every hour and each order assigned to a pick list, Europe’s leading online fashion retailer Zalando is using GPU-accelerated deep learning to identify the shortest route possible to products in their 1.3 million-square-foot distribution center.
Calvin Seward, a Data Scientist focused on warehouse logistics, shares how his team is using the Caffe deep learning framework and Tesla K80 GPUs to train their deep neural network to greatly accelerate a processing bottleneck, which in turn enabled the company to more efficiently split work between workers.
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AI-Generated Summary
- Zalando, Europe's leading online fashion retailer, is using GPU-accelerated deep learning to optimize routes for workers in their 1.3 million-square-foot distribution center.
- The company's Data Scientist, Calvin Seward, and his team are utilizing the Caffe deep learning framework and Tesla K80 GPUs to train a deep neural network.
- This technology is helping Zalando to more efficiently manage their high volume of orders by accelerating a processing bottleneck and optimizing work distribution among workers.
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