SYSTEMS AND METHODS FOR PRODUCT DIMENSION CORRECTION
Disclosed are systems and methods for determining whether a product dimension has changed by continuously verifying that the product dimensions have not changed. Suspicions of product dimension changes are based on warehouse operation exceptions. Each time the computer identifies an exception, information associated with the exception is collected and stored. The suspicions of product dimension changes accrue as exceptions are identified, products associated with exceptions are monitored, and suspicion scores associated with each product involved in the exception are updated. The suspicion score is indicative of the likelihood that the product dimensions have changed. The computer may perform different actions, depending on whether one or more thresholds have been exceeded, with respect to each product.
1 . A computer-implemented method comprising:
obtaining, by a computer, product data for a plurality of products in a container in response to an occurrence of an exception associated with that container;
updating, by the computer, respective dimension change suspicion scores associated with products in the container, wherein the dimension change suspicion score associated with a given product changes responsive to items of the given product being in a container associated with a later exception; and
triggering, by the computer, inspection of a particular product having a dimension change suspicion score exceeding a threshold.
2 . The method of claim 1 , where triggering inspection of the particular product includes:
generating, by the computer, a notification that the dimension change suspicion score associated with the particular product in the container exceeds the threshold; and
transmitting, by the computer, the notification to a device for triggering the inspection of the particular product.
3 . The method of claim 2 , wherein the notification comprises computer-readable instructions for measurement of the particular product.
4 . The method according to claim 1 , further comprising monitoring, by the computer, the plurality of products in the container for a second exception for a second container after the exception.
5 . The method according to claim 4 , wherein monitoring further comprises determining, by the computer, whether a second product of the container having the exception has a second exception in the second container.
6 . The method according to claim 4 , further comprising:
updating, by the computer, in response to the second exception for the second container, the suspicion score for products of a second plurality of products of the second container, the products of the second plurality of products including the particular product.
7 . The method according to claim 2 , wherein the notification is generated based upon a total probability exceeding the threshold.
8 . The method according to claim 1 , wherein the suspicion score is a probability of dimension change for the plurality of products in the container.
9 . The method according to claim 1 , wherein the suspicion score is based in part on a number of instances the particular product has been subject to an identified exception.
10 . The method according to claim 1 , wherein the suspicion score for the particular product is based in part on an amount of time since the particular product has been subject to the later exception.
11 . A system comprising:
a database configured to store suspicion scores for a plurality of products; and
a server comprising a processor configured to:
obtain product data for a plurality of products in a container in response to an occurrence of a first exception associated with that container;
update in the database respective dimension change suspicion scores associated with products in the container, wherein the dimension change suspicion score associated with a given product changes responsive to items of the given product being in a container associated with a later exception; and
trigger inspection of a particular product having a dimension change suspicion score exceeding a threshold.
12 . The system of claim 11 , where triggering inspection of the particular product includes:
generating a notification that the dimension change suspicion score associated with the particular product in the container exceeds the threshold; and
transmitting the notification to a device for triggering the inspection of the particular product.
13 . The system of claim 11 , wherein the processor is further configured to monitor the plurality of products in the container for a second exception for a second container after the exception.
14 . The system of claim 13 , wherein monitoring further comprises determining whether a second product of the container having the exception has the second exception in the second container.
15 . The system of claim 13 , wherein the processor is further configured to update in response to the second exception for the second container, the suspicion score for products of a second plurality of products of the second container, the products of the second plurality of products including the particular product.
16 . The system of claim 12 , wherein the notification is generated based upon a total probability exceeding the threshold.
17 . The system of claim 11 , wherein the suspicion score is a probability of dimension change for the plurality of products in the container.
18 . The system of claim 11 , wherein the suspicion score is based in part on a number of instances the particular product has been subject to an identified exception.
19 . The method according to claim 11 , wherein the suspicion score for the particular product is based in part on an amount of time since the particular product has been subject to the later exception.
20 . A non-transitory machine-readable storage medium having computer-executable instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
obtaining product data for a plurality of products in a container in response to an occurrence of a first exception associated with that container;
updating respective dimension change suspicion scores associated with products in the container, wherein the dimension change suspicion score associated with a given product changes responsive to items of the given product being in a container associated with a later exception; and
triggering inspection of a particular product having a dimension change suspicion score exceeding a threshold.