Abstract: The package configuration optimization system includes at least one non-transitory storage medium comprising instructions and at least one processor executing the instructions for performing operations. The operations may include receiving historical order data associated with a fulfillment center, the order data including at least one of items ordered, package information, shipping costs, or fill rate, generating a forecast for order data based on the historical order data and performance data associated with the fulfillment center, the forecast comprising a plurality of dummy orders, receiving preferences for packaging cost reduction, determining a current packaging configuration associated with the fulfillment center, optimizing the current packaging configuration to generate at least one new packaging configuration using the received preferences and the generated forecast, and sending the at least one new packaging configuration to a remote system.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching at least one data store to determine tags and properties associated with each item; sorting the items into at least one group; for each group: performing an optimization process for packaging the items in the group, by: selecting a data structure representing a first package; iteratively simulating packaging of a largest item of the group into the first package until all items are packaged, wherein if the simulating determines that the items in the group do not fit into the selected package: choosing a larger package, iteratively packing until all items are packed in the larger package; and generating set of instructions for packaging the items into the box; and sending the generated instructions for display.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: Systems and methods are provided for efficient box packing and visualization. One method comprises receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine dimensions associated with the at least one item; and modifying dimensions of at least one largest item of the order using a factor. The method may further comprise selecting a data structure representing a first package, the data structure comprising a size of the first package; iteratively simulating packing the items into the first package based on the modified dimensions, until all items are packed in the selected package; and generating at least one set of instructions for packing the items into the selected package. The method may further comprise sending the generated instructions to a second system for display, the instructions including at least one item identifier and one package identifier.

Abstract: The package configuration optimization system includes at least one non-transitory storage medium comprising instructions and at least one processor executing the instructions for performing operations. The operations may include receiving historical order data associated with a fulfillment center, the order data including at least one of items ordered, package information, shipping costs, or fill rate, generating a forecast for order data based on the historical order data and performance data associated with the fulfillment center, the forecast comprising a plurality of dummy orders, receiving preferences for packaging cost reduction, determining a current packaging configuration associated with the fulfillment center, optimizing the current packaging configuration to generate at least one new packaging configuration using the received preferences and the generated forecast, and sending the at least one new packaging configuration to a remote system.

Abstract: The present disclosure provides systems and methods for automated bag packaging, comprising at least one processor; and memory storing comprising: receiving an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; for each group: performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising a size of the first bag; iteratively simulating packaging of a largest item of the group into the first bag until all items are packaged in the selected bag; generating at least one set of instructions for packaging the items into the selected bag; and sending the generated instructions to a computer system for display, the instructions including at least one item identifier and one bag identifier.

Abstract: The package configuration optimization system includes at least one non-transitory storage medium comprising instructions and at least one processor executing the instructions for performing operations. The operations may include receiving historical order data associated with a fulfillment center, the order data including at least one of items ordered, package information, shipping costs, or fill rate, generating a forecast for order data based on the historical order data and performance data associated with the fulfillment center, the forecast comprising a plurality of dummy orders, receiving preferences for packaging cost reduction, determining a current packaging configuration associated with the fulfillment center, optimizing the current packaging configuration to generate at least one new packaging configuration using the received preferences and the generated forecast, and sending the at least one new packaging configuration to a remote system.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: The automatic packaging acquisition system includes at least one processor executing the instructions for performing operations. The operations may include receiving forecast data indicating a first expected number of packages over a first period of time required to ship an expected number of orders handled by a first fulfillment center, determining the historical scan events from a plurality of mobile devices associated with the first fulfillment center over a second period of time, determining a second number of packages based on the determined historical scan events, calculating a target quantity of packages based on the first expected number of packages and a value indicating cover days, instantiating a first electronic order for packages, based on the calculated target quantity, a current quantity of packages, an ordered number of packages, and the second number of packages; and send the first order to a remote computer system.

Abstract: The automatic packaging acquisition system includes at least one processor executing the instructions for performing operations. The operations may include receiving forecast data indicating a first expected number of packages over a first period of time required to ship an expected number of orders handled by a first fulfillment center, determining the historical scan events from a plurality of mobile devices associated with the first fulfillment center over a second period of time, determining a second number of packages based on the determined historical scan events, calculating a target quantity of packages based on the first expected number of packages and a value indicating cover days, instantiating a first electronic order for packages, based on the calculated target quantity, a current quantity of packages, an ordered number of packages, and the second number of packages; and send the first order to a remote computer system.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: The present disclosure provides systems and methods for automated bag packaging, comprising at least one processor; and memory storing comprising: receiving an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; for each group: performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising a size of the first bag; iteratively simulating packaging of a largest item of the group into the first bag until all items are packaged in the selected bag; generating at least one set of instructions for packaging the items into the selected bag; and sending the generated instructions to a computer system for display, the instructions including at least one item identifier and one bag identifier.

Abstract: Systems and methods are provided for efficient box packing and visualization. One method comprises receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine dimensions associated with the at least one item; and modifying dimensions of at least one largest item of the order using a factor. The method may further comprise selecting a data structure representing a first package, the data structure comprising a size of the first package; iteratively simulating packing the items into the first package based on the modified dimensions, until all items are packed in the selected package; and generating at least one set of instructions for packing the items into the selected package. The method may further comprise sending the generated instructions to a second system for display, the instructions including at least one item identifier and one package identifier.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching at least one data store to determine tags and properties associated with each item; sorting the items into at least one group; for each group: performing an optimization process for packaging the items in the group, by: selecting a data structure representing a first package; iteratively simulating packaging of a largest item of the group into the first package until all items are packaged, wherein if the simulating determines that the items in the group do not fit into the selected package: choosing a larger package, iteratively packing until all items are packed in the larger package; and generating set of instructions for packaging the items into the box; and sending the generated instructions for display.

Abstract: The package configuration optimization system includes at least one non-transitory storage medium comprising instructions and at least one processor executing the instructions for performing operations. The operations may include receiving historical order data associated with a fulfillment center, the order data including at least one of items ordered, package information, shipping costs, or fill rate, generating a forecast for order data based on the historical order data and performance data associated with the fulfillment center, the forecast comprising a plurality of dummy orders, receiving preferences for packaging cost reduction, determining a current packaging configuration associated with the fulfillment center, optimizing the current packaging configuration to generate at least one new packaging configuration using the received preferences and the generated forecast, and sending the at least one new packaging configuration to a remote system.

Abstract: The automatic packaging acquisition system includes at least one processor executing the instructions for performing operations. The operations may include receiving forecast data indicating a first expected number of packages over a first period of time required to ship an expected number of orders handled by a first fulfillment center, determining the historical scan events from a plurality of mobile devices associated with the first fulfillment center over a second period of time, determining a second number of packages based on the determined historical scan events, calculating a target quantity of packages based on the first expected number of packages and a value indicating cover days, instantiating a first electronic order for packages, based on the calculated target quantity, a current quantity of packages, an ordered number of packages, and the second number of packages; and send the first order to a remote computer system.

Abstract: Systems and methods are provided for efficient box packing and visualization. One method comprises receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine dimensions associated with the at least one item; and modifying dimensions of at least one largest item of the order using a factor. The method may further comprise selecting a data structure representing a first package, the data structure comprising a size of the first package; iteratively simulating packing the items into the first package based on the modified dimensions, until all items are packed in the selected package; and generating at least one set of instructions for packing the items into the selected package. The method may further comprise sending the generated instructions to a second system for display, the instructions including at least one item identifier and one package identifier.

Abstract: The present disclosure provides systems and methods for automated bag packaging, comprising at least one processor; and memory storing comprising: receiving an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; for each group: performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising a size of the first bag; iteratively simulating packaging of a largest item of the group into the first bag until all items are packaged in the selected bag; generating at least one set of instructions for packaging the items into the selected bag; and sending the generated instructions to a computer system for display, the instructions including at least one item identifier and one bag identifier.