Abstract: The present disclosure provides a system for providing personalization for a target website. The system comprises: an artificial intelligence (AI) engine including one or more machine learning algorithm trained models for providing one or more personalization features; and a personalization module configured for integrating the one or more personalization features into the target website, wherein the one or more personalization features are rendered within a popup widget displayed over the target website.

Abstract: In some embodiments, a web-based postage transaction may be facilitated. In some embodiments, an applet embedded on a web page may be provided to a client computer in response to the client computer accessing the web page. A request related to a postage transaction may be received from the client computer. In response to the request, a validation check may be performed by providing a validation token to the embedded applet at the client computer to be validated by the embedded applet. Based on a determination by the embedded applet at the client computer that the validation token is valid, the embedded applet at the client computer is configured to execute at least a part of the request.

Abstract: An embodiment of the present disclosure a system and method for extracting items of information, such as wine from a wine list of a commercial establishment.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform generating personalized product-type metrics for the user based at least in part on a user embedding for the user and product-type embedding Gaussian mixture distributions; determining top product types based at least in part on personalized product-type complementarity metrics generated using the personalized product-type metrics and cosine similarity measurements; generating a set of first items associated with the top product-types; ranking each respective item in the set of first items generated using an item-level embedding Gaussian distribution for the anchor item and a respective item-level embedding Gaussian distribution for the each respective item; and selecting a set of top items as the personalized complementary item recommendations based on the ranking. Other embodiments are disclosed.

Abstract: Disclosed are a system and method for reselling a reserved instance, which creates earnings by purchasing a reserved instance from a reserved instance providing system, such as a cloud service system, and reselling the reserved instance to a client, and a recording medium in which a program for executing the method is written. The system purchases a reserved instance from a reserved instance providing system and resells the reserved instance to a client, and includes an instance usage prediction unit for predicting instance usage of a client using a machine learning model pre-trained in relation to the instance usage, a reserved instance purchase quantity determination unit for determining a reserved instance purchase quantity based on the instance usage, a reserved instance purchase unit for purchasing the reserved instance based on the reserved instance purchase quantity, and an instance reselling unit for reselling the purchased reserved instance to the client.

Abstract: Provided herein are systems, methods and computer readable media for facilitating delivery of a digital notification of a physical product to inform a recipient of the identity of the physical product. A digital notification may inform the recipient of the identity of a physical product ordered for the recipient by a sender. A digital unwrapping trigger may be utilized to ensure that the recipient is authorized to view the identity of the digital product. For example, the digital notification may not identify the identity of the physical product until a particular date has passed (e.g., a holiday or birthday), until the recipient performs a certain task, or until the recipient meets a certain goal. In response to the trigger occurring, the digital notification may be enabled for viewing of the identity of the physical product. The physical delivery of the product may be coordinated with delivery of the digital notification.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that provide new capabilities for recommending purchases to a user based on a new descriptor referred to as “purchase embeddings.” The purchase embedding may include a tuple in a new multi-dimensional search space for describing and tracking purchases of goods and services. Recommendations may be based on a distance between tuples in the search space, which provides a measure of similarity between items represented by the tuples.

Abstract: A method including receiving an input regarding a mattress assembly from an end user, the input including an indication of a desired feel and a plurality of current layers included in the mattress assembly, querying a database using the received input, receiving a list of layers and a layer arrangement from the database in response to the query, determining if the plurality of current layers matches the list of layers, identifying at least one of a specialty layer or a replacement layer when the plurality of current layers do not match the list of layers, determining a recommendation including the list of layers, an indication of a cost of the identified at least one of the specialty layer or the replacement layer when the plurality of current layers does not match the list of layers, and the layer arrangement, and sending the recommendation to the end user.

Abstract: Automatically generating guaranteed offers for commodities and non-commodities As such, the present disclosure presents various embodiments, as well as features and aspects thereof, of a guaranteed offer generator (“GOG”). The GOG accumulates and assimilates data, and then algorithmically processes this data with a server system to generate a guaranteed offer that, while removing the risk of an asset owner relinquishing his or her property in response to a low-ball sell, does not create an unacceptably high risk on the part of the guaranteed offeror.

Abstract: A server receives an initial query that identifies a first item listed by a first user account and an initial query value for the first item. The server provides the initial query to a first computing device associated with the first user account and receives a first response to the initial query from the first computing device. The first response indicates a rejection of the initial query value. In response to the rejection, the server identifies a second item listed by a second user account. The second item includes a shared attribute with the first item. The server substitutes the initial query with a replacement query that identifies the second item and the initial query value for the first item. The replacement query is provided to a second computing device associated with the second user account.

Abstract: A properly sized article of clothing, such as footwear, can be identified by performing a 3D scan of a corresponding portion of a user's body and comparing the size, shape, and external volume of the corresponding portion of the user's body with known sizes, shapes, and internal volumes of articles of clothing offered by a retailer. This process can increase the ability of retailers to match consumers with properly fitting articles of clothing, such as footwear. Additionally, the proper size, and best fitting styles of footwear can be recommended to the user from a variety of offerings provided by the retailer. 3D scanning the user's body allows both retailers and customers to account for subtle size differences that exist in various clothing products and allow consumers to be matched with the best fitting clothing without the need to purchase or return multiple items.

Abstract: This application relates to apparatus and methods for identifying anomalies within a time series. In some examples, a computing device receives sales data identifying a sale of at least one item, and aggregates the received data in a database. The computing device may generate a plurality of time series based on the aggregated sales data. The computing device may extract features from the plurality of time series, and generate an alerting algorithm that is based on clusters of the extracted features. The computing device may apply the alerting algorithm to a time series generated from received sales data to determine whether the time series is an anomaly. Based on the determination, the computing device may generate and transmit anomaly data identifying whether the time series is an anomaly, such as to another computing device.

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 acts of: determining price bands for an item type category; associating items included in the item type category with the price bands; analyzing, using an affinity prediction model of the machine learning architecture, price band activity data indicating interactions of a user with respective items included in each of the price bands for the item type category; and generating one or more price affinity predictions for the user based, at least in part, on the price band activity data, wherein the one or more price affinity predictions predict a preference of the user for respective items associated with one or more of the price bands. Other embodiments are disclosed herein.

Abstract: Presented are intelligent charging systems for transferring energy to and from motor vehicles, methods for making/operating such systems, and vehicles with V2V and V2G energy transfer capabilities. A method for operating an intelligent charging system includes a system controller receiving, from a user interface of a user, a request to schedule a transfer of electricity to the user. The system controller broadcasts to a crowdsourced set of service providers a solicitation for energy transfer bids for completing the user's transfer request. After receiving multiple bid submissions for completing the transfer request from multiple service providers, the system controller selects an optimized one of the bid submissions using a multi-criteria selection strategy. The multi-criteria selection strategy includes a joint utility maximization function and/or a trade-off Pareto solution.

Abstract: Systems, methods and non-transitory computer-readable storage mediums are disclosed for cloud computing engineering, solar PV (SPV) or solar PV with storage (SPV/S) system configuration, pricing, quoting, advertising messaging, sales lead generation, and content marketing.

Abstract: System and methods are provided to regulate sales of a product in an online store using computer-implemented delays. The computer-implemented delays can, for example, help mitigate the use of bots in the online store, provide different customers with equal access to the product and/or provide certain customers with priority access to the product. According to an embodiment, a method includes receiving an indication that a user intends to purchase an item of a product in an online store, and determining a delay for a sale of the item to the user to regulate sales of the product. Before completing the sale of the item to the user, the delay is implemented in the online store.

Abstract: A graphical user interface displays inventory data that has been determined based on user supplied data and merchant supplied data. When a user searches for a product on a search engine computing system, the search engine computing system associates the searched items with the user. The search engine computing system logs if a user visits a local merchant location associated with the searched product. The search engine computing system requests inventory data from the user for the product at the local merchant location. The search engine computing system aggregates the user response with other user responses and incorporates the responses with the inventory data provided by the merchant. The inventory display may include one or more inventory metrics to provide more useful inventory data to the user.

Abstract: Information about participants in an auction are received and analyzed along with information about products to be auctioned and other information to generate an interest gauge. The interest gauge may reflect the interest of a buyer, a seller, an auction house or any other entity in the auctioning event. Based on the interest gauge, the operations of the auction can be augmented and/or modified to be optimal in view of revenue generation, products moved, and a balance between the two. For instance, the buyer interest gauge could be used to create packages of items to be auctioned in a combinatorial auction.

Abstract: Systems and methods which provide localized item procurement fulfilment using virtual distribution center inventory are described. For example, stocking locations of one or more intermediaries may provide virtual distribution center inventory for use by a supplier in facilitating localized item procurement fulfilment for acquirers. A supplier may provide a web based sales platform allowing acquirers to purchase items of the supplier's goods wherein the item procurement fulfilment is configured to utilize a network of intermediaries to facilitate competitive and satisfactory delivery timeframes, such as next day, same day, and even on-demand delivery of the goods, using economy shipping options.

Abstract: Provided herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using computer technology to automate the creation of consistent, high quality listings for selling “for sale objects” (FSO) on an ecommerce site. Some embodiments are configured to or operate by: identifying a category of a FSO; accessing templates for the category from a template database; navigating a user through a computer generated augmented reality (AR) environment using the templates to generate images of the FSO; analyzing one or more of the images to determine characteristics of the FSO; and generating a listing for the FSO using the images and the characteristics.