US 11,983,672 B2
System and a method for managing inventory
Meir Zohar, Givat Shmuel (IL); Moshe Rosenblum, Petach Tikva (IL); Ofer Solomon, Maalot-Tarshicha (IL); David Kozlovsky, Modi'in (IL); and Noam Kronman, Rehovot (IL)
Assigned to FRESHUB LTD, Petach Tikva (IL)
Filed by Freshub LTD, Petach Tikva (IL)
Filed on May 14, 2021, as Appl. No. 17/320,307.
Application 17/320,307 is a continuation of application No. 15/814,966, filed on Nov. 16, 2017, granted, now 11,042,840.
Claims priority of provisional application 62/423,338, filed on Nov. 17, 2016.
Prior Publication US 2021/0272064 A1, Sep. 2, 2021
Int. Cl. G06Q 10/0875 (2023.01); G06N 20/00 (2019.01); G06Q 30/0601 (2023.01)
CPC G06Q 10/0875 (2013.01) [G06N 20/00 (2019.01); G06Q 30/0631 (2013.01)] 16 Claims
OG exemplary drawing
 
1. 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 comprising:
responsive to at least one triggering event, receiving a first input signal from a first sensor of said plurality of sensors and a second input signal from a second sensor of said plurality of sensors;
uniquely identifying one of said plurality of inventory items based on said first input signal and second input signal, wherein each of said first input signal and said second input signal is insufficient, on its own, for facilitating unique identification of said one of said plurality of inventory items;
based on at least one of said first input signal and said second input signal, identifying a change in said one of said plurality of inventory items; and
in response to said identifying said change, automatically purchasing said 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 at least one inventory item is predicted to expire or to be consumed,
wherein said first input signal is selected from the group consisting of:
a photospectrometry signal;
a raman spectrometry signal;
a material oscillation measurement signal;
a magnetic resonance measurement signal;
a dynamic pressure signal indicative of a kinetic wave decay pattern;
a dynamic pressure signal indicative of a pattern of material oscillations or vibrations; and
a kinetic wave decay signal,
wherein said at least one triggering event is detected by at least one triggering sensor, and includes at least one of:
movement of at least one inventory item within said storage area;
removal of at least one inventory item from said storage area;
insertion of at least one storage item into said storage area; and
a change in pressure distribution within said storage area,
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 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.