US 10,706,386 B2 · Machine learning inventory management

Abstract

Systems and methods for machine learning inventory management. The methods comprise: capturing images by a plurality of image capture devices of different types (e.g., visual camera, 3D camera and/or thermal camera); reading item identification codes for items represented in the images; and using at least a first portion of the images and known physical appearances of a plurality of items by a machine learning algorithm to learn relationships between the items represented in the images and the item identification codes. At least a second portion of the images are used to learn various types of information that is useful for inventory management (e.g., changes in inventory amounts for display equipment, changes in equipment cleanliness, changes in inventory packaging, item misplacements, etc.).

Claims24

Dependent claims

A method for machine learning inventory management, comprising:

capturing images by a plurality of image capture devices of different types;
reading, by a reading device, item identification codes for items represented in the images;
using at least a first portion of the images and known physical appearances of a plurality of items by a machine learning algorithm running on a computing device to learn relationships between the items represented in the images and the item identification codes;
using, by the computing device, the machine learned relationships to provide full inventory coverage and generate models for generating predicted future inventory states and inventory decisions without human assistance;
and
performing actions by the computing device to control an inventory system based on the predicted future inventory states and inventory decisions.

3 more elements

Dependencies are inferred from the claim text.

Machine learning inventory management

Life of this patent

Machine learning inventory management

Life of this patent

Abstract

Claims24