Methods and systems for packaging a product offering of product items associated with a merchant account. A product packaging model is associated with a kit of product items having a selected packaging option. During assembly, one or more images of the kit are captured and image features are detected and compared to parameters specified in the product packaging model. An error notification is output if a deviation is detected between the detected image features and the parameters prescribed by the product packaging model.

Methods and systems for generating a product packaging model for a product offering of a set of product items associated with a merchant account. At an e-commerce platform, a trigger event is detected and, in response, two or more product items are automatically selected to form a kit that makes up the product offering. Model data for the two or more product items and packaging parameters are used to automatically select a packaging option and to build a product packaging model that is sent to the merchant account. The product packaging model may be a three-dimensional computer model of the kit containing the two or more product items.

Methods and systems for packaging a product offering of product items associated with a merchant account. A product packaging model is associated with a kit of product items having a selected packaging option. During assembly, one or more images of the kit are captured and image features are detected and compared to parameters specified in the product packaging model. An error notification is output if a deviation is detected between the detected image features and the parameters prescribed by the product packaging model.

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include obtaining information about a trailer that has been partially loaded with preloaded stacks in a manner that deviates from an original load design. The trailer is being loaded with stacks of pallets comprising the preloaded stacks and unloaded stacks. The acts also can include determining positions of empty floor spots remaining in the trailer. The acts additionally can include determining a first portion of an incremental load design for the unloaded stacks using a gap-filling pattern behind an uneven rear edge of the preloaded stacks. The acts further can include determining a second portion of the incremental load design. The acts additionally can include updating the incremental load design based on an overall load design of the trailer. The acts further can include outputting at least the incremental load design, as updated. The incremental load design can specify a respective floor spot assignment for each of the unloaded stacks. Other embodiments are described.

Systems are provided for automatically optimizing packaging and dunnage for a group of objects. The systems calculate dimensions for a custom-made packaging template. The dimensions for the custom-made packaging template are adjusted to allow for a specific amount of dunnage. The systems generate a packaging command that causes a packaging-production machine to generate custom-made packaging templates based upon the calculated dimensions for the custom-made packaging template. The systems also generate a dunnage command that causes a dunnage-production machine to generate the specific amount of dunnage.

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.

Embodiments of the invention include methods, systems, and computer program products for checking metal coverage in a laminate structure. Aspects of the invention include receiving, by a processor, metal shadowing rules and a semiconductor package design comprising a plurality of laminate layers, a plurality of metal power shapes, and a plurality of signal lines. Each metal power shape is mapped to one or more cells in a two-dimensional array. The processor determines, for each signal line in the semiconductor package design, whether the metal power shapes satisfy the metal shadowing rules. The processor displays a list of signal lines that do not satisfy the metal shadowing rules.

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.

In an approach to determining the optimal size and shape of additive manufactured packaging, a delivery location corpus, a storage location corpus, and a transportation mechanism corpus are received. A notification to design a package for an item is received. The optimal design attributes are determined for the delivery location. The optimal design attributes are determined for the storage location. The optimal design attributes are determined for the transportation mechanism. The additive manufactured packaging for the item is designed based on the optimal design attributes for the delivery location, the storage location, and the transportation mechanism.

A computer-implemented method designs and manufactures a supporting structure for the packaging of a solid object. The supporting structure comprises a plurality of linear support elements that sustain the solid object inside a packaging container. The method includes: a) providing, as an input, a three-dimensional model of the solid object; b) computing a first cumulative linear mass density distribution of the solid object according to a first axis (x); and c) using said first cumulative linear mass density distribution to determine the positions, along said first axis, of linear support elements oriented transversally to said first axis. The resultant positions enable even distribution of the weight of the solid object among the linear support elements. A computer program product, computer-readable data-storage medium, and CAD system carry out such a method.