E-commerce efficiency hinges on warehouse automation, but order scheduling becomes computationally intractable as operations scale. This talk presents a quantum annealing solution that reduces order fulfillment time by up to 66% in simulated environments (validated on D-Wave hardware). The custom designed QUBO model enables you to efficiently solve the warehouse optimization problem via CPU, GPU and QPU – all while taking into consideration the constraints inherent to both the optimization problem and the current limitations of available quantum computers. The framework is hardware-agnostic, scalable to 1000+ stacks, and adaptable across industries.

Open Q&A discussion.

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