System and a method for managing inventory
AssigneeFreshub Ltd
InventorsMeir Zohar, Moshe Rosenblum, Ofer Solomon, David Kozlovsky, Noam Kronman
Life of this patent
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Abstract
There are provided methods and systems for managing inventory of inventory items in a storage area, and for automatically carrying out an action in response to a change in at least one inventory item in the storage area.
Claims14
A method for managing inventory in a storage area associated with a user, the storage area housing at least one inventory item and having a plurality of sensors associated therewith, the method being performed by a processor, said method comprising:
- receiving an image input signal from an image sensor of said plurality of sensors;
- extracting features from said image input signal, and, based on said features, identifying a plurality of candidate inventory items in said storage area;
- receiving a second input signal from a second sensor of said plurality of sensors;
- using said second input signal, uniquely identifying one of said plurality of candidate inventory items as being a specific one of said plurality of inventory items in said image input signal, wherein each of said first image input signal and said second input signal is insufficient, on its own, for facilitating unique identification of said specific one of said plurality of inventory items;
- based on said image input signal and said second input signal, as well as on user-specific information learned over time using machine-learning techniques, identifying a change in said specific one of said plurality of inventory items;
- in response to said identifying said change, automatically purchasing said specific one of said plurality of inventory items;
- wherein the user is associated with at least one segment of users, the at least one segment of users including a plurality of users sharing at least one common characteristic with the user, at least one of said plurality of users being associated with a different inventory than the inventory of said user,
- wherein said uniquely identifying said specific one of said plurality of inventory items is further based on segment-specific information for said at least one segment of users,
- wherein said segment-specific information is learned over time using machine-learning techniques by a machine learning module, based on information received from said user and from other users in said segment of users, and
- wherein said segment-specific information is common to at least a majority of users in said at least one segment of users.
A method for managing inventory in a storage area associated with a user, the storage area housing a plurality of inventory items and having a plurality of sensors associated therewith, the method being performed by a processor, the method comprising:
- receiving an image input signal from an image sensor of said plurality of sensors and a second input signal from a second sensor of said plurality of sensors;
- extracting features from said image input signal, and, based on said features, identifying a plurality of candidate inventory items in said storage area;
- using said second input signal, uniquely identifying one of said plurality of candidate inventory items as being a specific one of said plurality of inventory items in said image input signal;
- based on at least one of said image input signal and said second input signal, identifying a change in said specific one of said plurality of inventory items;
- and
- in response to said identifying said change automatically purchasing said specific one of said plurality of inventory items, said automatically purchasing occurring at a time of said identifying or being scheduled to occur at a future time at which said specific one of said plurality of inventory items is predicted to expire or to be consumed,
- wherein the user is associated with at least one segment of users, the at least one segment of users including a plurality of users sharing at least one common characteristic with the user, at least one of said plurality of users being associated with a different inventory than the inventory of said user,
- wherein said uniquely identifying said specific one of said plurality of inventory items is further based on segment-specific information for said at least one segment of users,
- wherein said segment-specific information is learned over time using machine-learning techniques by a machine learning module, based on information received from said user and from other users in said segment of users, and
- wherein said segment-specific information is common to at least a majority of users in said at least one segment of users.
Dependencies are inferred from the claim text.