Systems and methods for machine-learning assisted inventory placement

This invention describes a computer system designed to optimize where products are stored within a network of warehouses. It uses machine learning to predict an identifying label for a product, primarily based on the temperature of the region where that product is most in demand. This label then helps guide the product to a suitable storage location, potentially one with a matching temperature profile.

Why it matters: Filed before cloud-based machine learning platforms were as mature. Predictive modeling for product tags is now much easier to implement and scale efficiently.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, database integration

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