Abstract: In some embodiments, apparatuses and methods are provided herein useful to presenting information to customers. In some embodiments, an augmented reality system for presenting information to customers comprises a personalization server configured to store personalized data for the customers, receive an indication of a customer, receive a product identifier for a product, retrieve personalized data for the customer, and transmit the personalized data for the customer, an application configured to be executed by the mobile device, the application when executed by the mobile device causing the mobile device to capture images of products in a retail facility, receive user input to select the product from the images of products, receive the personalized data for the customer, generate an augmented reality presentation, and present the augmented reality presentation, and a control circuit configured to identify the product, and determine the product identifier for the product.

Abstract: In some embodiments, a system for electronically validating coupons comprises a primary positive coupon database containing positive coupon data. The positive coupon data relates to one or more coupons known to the valid. The system further includes a computing system comprising a control circuit configured to execute a processing module that, when executed, receives electronic coupon data from a coupon comprising a machine-readable code, parses the electronic coupon data, compares the parsed electronic coupon data to the positive coupon data in the primary positive coupon database, and determines whether the coupon is valid by determining whether there is a match between the parsed electronic coupon data and the positive coupon data, and determining whether the coupon has expired based on an expiration date of the coupon contained in the parsed electronic coupon data and an identified expiration date.

Abstract: 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: receiving historical in-session user activity information; building a customer journey graph based on the historical in-session user activity information; generating suggested queries based on the customer journey graph; and in response to identifying an input query for a user session of a user: re-ranking the suggested queries; and displaying the suggested queries, as re-ranked, to the user via a graphical user interface (GUI). Other embodiments are described.

Abstract: A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations. The operations can include extracting shape and pose vectors of an image of a user. The operations also can include generating a virtual image representing the user based on the shape and pose vectors and apparel of interest. The operations further can include receiving, from the user through an interactive user interface, one or more adjustments on a temporal axis to modify parameters of the virtual image over one or more time periods. The operations additionally can include updating a model for the user based on the one or more adjustments on the temporal axis and a change model trained on the temporal axis. The operations further can include rendering a modified virtual image of the user based on the model for the user, as updated, and the apparel of interest.

Abstract: A method can be implemented via execution of computing instructions configured to run at a processor. The method can include: receiving, from a user, an image of a product; receiving, from the user, user-submitted logo alt text describing a brand of the product in the image; receiving, from the user, user-submitted image alt text describing the image; extracting brand information from the user-submitted logo alt text; extracting product information from the user-submitted image alt text; generating an instruction prompt that includes the brand information, as extracted, and the product information, as extracted; and generating a recommended image alt text describing the image and including the brand information, as extracted, and the product information, as extracted, by querying a multimodal generative artificial intelligence (multimodal GenAI) model with the instruction prompt. Other embodiments are disclosed.

Abstract: A method can include: obtaining a non-frontal image of an item of clothing from a catalog as a candidate for being transformed into a frontal image; extracting, using multiple deep-learning blocks, pixel data of a cloth point of interest of the non-frontal image; re-aligning, using a generative pose transfer model, the non-frontal image by altering an angle alignment of a non-frontal pose and filling in missing areas with simulated cloth matching the cloth point of interest into the frontal image; and tuning, using a cloth feature loss function, multiple parameters of the frontal image for a final version of the frontal image. Other embodiments are disclosed.

Abstract: A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: obtaining a distribution of transit miles for inbound loads located within a distance of each facility of multiple facilities; creating, using a partition engine, multiple spatial partitions within the distance of each facility of the multiple facilities; determining, using the partition engine, a multi-partition distance by combining multiple spatial partitions with overlapping distances; determining shipment consolidation options for the inbound loads within the multi-partition distance of the multiple facilities; and generating a transit plan corresponding to the inbound loads located within the multi-partition distance, based on the shipment consolidation options. Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving user engagement information from a plurality of users, the user engagement information including pairing information; filtering the pairing information based on filtering criteria; training a machine learning model based on the pairing information to determine missing tokens; and modifying metadata for one or more products in a product catalog based on the missing tokens. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a search query from a user during a current user session; generating a query embedding for the search query; determining one or more entity embeddings with similarity scores that satisfy a threshold, the one or more entity embeddings including keywords associated with entities; filtering the one or more entity embeddings based on filtering criteria; generating a mapping for the search query based on the one or more entity embeddings, the mapping including an association between keywords in the search query and an entity; and modifying a graphical user interface to display items associated with the entity in an upper portion of the graphical user interface during the current user session. Other embodiments are disclosed herein.

Abstract: A method can be implemented via execution of computing instructions configured to run at a processor and stored at a non-transitory computer-readable media. The method can include: determining one or more virtual categories associated with a search query by a user. The method can also include: classifying one or more search results for the search query into one or more category groups based on the one or more virtual categories. The method can further include: generating a respective user interface portion for each group of the one or more category groups. The method can additionally include: generating a user interface comprising the respective user interface portion for each group of the one or more category groups. The method can also include: transmitting, via a computer network, instructions to display the user interface on a user device for the user. Other embodiments are disclosed.

Abstract: A method can include: storing, on an electronic platform, a vectorized item database corresponding to a plurality of items; tracking electronic interactions between the electronic platform and a user computer during a user session; generating, using an embedding model, a session context embedding based, at least in part, on the electronic interactions tracked during the user session; in response to receiving the search query from the user computer, querying the vectorized item database to identify search results corresponding to one or more of the plurality of items, at least in part, using the session context embedding; and transmitting, by the electronic platform, the search results to the user computer. Other embodiments are disclosed.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving input information corresponding to campaign requests that were received during a period of time for a user, wherein the period of time is at least one of an out of budget period of time or an end of campaign period of time; determining a request metric based on the input information; determining an impression metric based on the input information; determining a missed click metric based on the input information; determining a recommended additional budget for the user based on the request metric, the impression metric, and the missed click metric; and generating and sending a graphical user interface to be displayed to the user, the graphical user interface including a function that enables the user to interact with the graphical user interface to apply the recommend additional budget.

Abstract: A method can include generating a user interface portion for a user device. The user interface portion can be for one or more used payment methods for an order payment by a user. To generate the user interface portion, the method can include: (a) upon determining that a payment method count is greater than one, (i) determining a current payment method based on the one or more used payment methods and a payment-method-sequence rule; and (ii) generating a payment-method-selection area of the user interface portion; and (b) upon determining that the payment method count is not greater than one, using the one or more used payment methods as the current payment method. The method further can include generating a ledger area of the user interface portion for the current payment method to display information associated with the current payment method and the order payment.

Abstract: A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: receiving input information corresponding to allocating one or more containers in one or more trucks for delivery from a ship point to one or more distribution centers, the one or more containers including one or more items; determining one or more lanes that correspond to one or more delivery routes for the one or more trucks between the ship point and the one or more distribution centers based on the input information; determining a respective priority measurement for each of the one or more trucks; determining a respective route plan for each respective truck of the one or more trucks based on the respective priority measurement, the respective route plan including a respective listing of each of the one or more trucks and an associated lane from the one or more lanes the respective truck is to navigate to one of

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a search query from a user and user session information; receiving input information corresponding to one or more campaigns to display to the user; determining a first bid for the one or more campaigns based on the search query and the user session information; determining a second bid for the one or more campaigns based on the input information; determining a final bid for the one or more campaigns based on the first bid and the second bid; transmitting the final bid to a ranking system to generate a listing of advertisements, the listing of advertisements including positioning information; and enabling a graphical user interface to be modified to reposition the listing of advertisements based on the positioning information. Other embodiments are disclosed herein.

Abstract: A method including obtaining information about a batch of loads. The method also can include determining one or more respective alternative assignments that are feasible for each of the loads. The method additionally can include generating an assignment based on selecting a respective selected carrier for each of the loads from among the one or more respective alternative assignments for each of the loads. Generating the assignment can include using respective deviation scores when there are multiple primary carriers among the one or more respective alternative assignments. The method further can include modifying the assignment for a subset of the loads based on a flex rate. The method additionally can include outputting the assignment, as modified. Other embodiments are described.

Abstract: A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: obtaining an image of a digital space; extracting a depth map and a segmentation map of the image; passing each of the depth map and the segmentation map through a respective model of two parallel image diffusion models using stable diffusion with controlled image generation; prompting a selection of a target style for the digital space; segmenting, using image segmentation, the image in a target stylized digital space; and determining, using dominant color filtering, visual images of complementary items. Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving input information for generating one or more routes for one or more vehicles, the input information including one or more group classifiers; processing the input information based on the one or more group classifiers; analyzing, using one or more solving engines, the input information to generate the one or more routes for the one or more vehicles; selecting, from each of the one or more solving engines, a vehicle route from the one or more routes that satisfies a threshold; and transmitting the vehicle route to a dispatcher to facilitate coordinating, by the dispatcher, operation of a vehicle from the one or more vehicles along the vehicle route. Other embodiments are disclosed herein.