Abstract: A data structure programmatically links the first product to a second product. The second product is historically purchased by the customer whenever the customer has also purchased the first product. A determination is made as to whether the customer purchased the second product together with the first product based upon the sales data. When the customer has failed to purchase the second product with the first product, instructions are transmitted to the retail store over the network to perform a verification that the second product is out-of-stock. An outcome of the verification from the retail store is received via the network. A determination is made as to a level of certainty that the second product is actually out-of-stock based upon an analysis of the sales data and the outcome of the verification. When the level of certainty exceeds a predetermined threshold, the PI value is adjusted to zero.

Abstract: Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for the amount of labor and physical objects needed at various facilities.

Abstract: A method can include capturing, in real-time via a camera, an image of a real environment. The method further can include determining, using the image, a primary plane in the real environment. The method additionally can include rendering, in real-time on a display device for a user, a virtual object in the image of the real environment. The method also can include detecting a collision by the virtual object in the image, comprising: (a) projecting the virtual object onto the primary plane as a 2D resting plane for the virtual object; (b) determining tracking rays for the virtual object, wherein the tracking rays connect vertices of the 2D resting plane to a viewpoint from the camera; and (c) determining the collision based on whether the tracking rays intersect with a plane of one or more existing physical objects in the image. The method further can include upon determining that the collision is detected, outputting a haptic effect indicating the collision. Other embodiments are disclosed.

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, cause the one or more processors to perform operations: parsing a hypertext markup language source code from text strings of query strings of a webpage containing ingredients for a recipe; extracting, using an iterative process, the ingredients for the recipe from the query strings of the webpage; mapping recipe products based on quantities or units of measure of the ingredients, as extracted, for the recipe; and automatically adding the recipe products to an electronic shopping cart. Other descriptions are disclosed.

Abstract: Item mortality, such as failure rates and expected remaining lifespan, may be determined based on tracked environmental conditions during transit, such as vibration, temperature, and other conditions. For complex items, multiple different internal components may have varying degrees of susceptibility to damage from unfavorable conditions, with each of the components able to individually cause a failure of the entire item. Thus, the specific set of internal components may drive item mortality prediction. Sensors may be located in shipping containers that share data collected throughout the supply chain, using a blockchain, to increase confidence in the integrity of the data. The use of mortality models generated with anonymized component or process data may enable manufacturers to protect trade secrets, such as the specific components or manufacturing processes used, even while leveraging the manufacturer's detailed knowledge of an item.

Abstract: An autonomous storage and retrieval tower for receiving, storing, and dispensing free physical products.

Abstract: A system can include 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, cause the one or more processors to perform operations comprising: receiving, at a search engine, a user search query submitted by a user; generating, using a recall personalization model, a simulated query that supplements the user search query with a feature vector reflecting personalization preferences of the user; and generating, using the search engine, search results for the user search query based, at least in part, on the simulated query that accounts for the personalization preferences of the user. Other embodiments are disclosed herein.

Abstract: A system can include a database and a computing device. The computing device is configured to receive an item recommendation request corresponding to an asset from an analyst device and select a set of item identifiers of a plurality of item identifiers. An associated published timeframe of the selected item identifiers is related to a present timeframe. The computing device is further configured to determine a composite similarity value for each item identifier of the set of item identifiers comparing a similarity of the asset to each item identifier of the set of item identifiers. The computing device is also configured to generate an item recommendation list including each item identifier of the set of item identifiers with a corresponding composite similarity value above a threshold value and transmit the item recommendation list to the analyst device for display.

Abstract: System and methods for compressing data for use in a distributed ledger are provided. In one form, the system includes: a network interface; a user interface device; and a control circuit coupled to the network interface and the user interface device. In this form, the control circuit executes a data compression module configured to: receive, via the network interface, a data set; transform and store the data set into a file format of rows and columns in which data of the data set are stored in a columnar fashion; apply a first compression step to compress each row and write each compressed row into the file format; apply a second compression step to further compress data after the compressed rows have been written into the file format; and encode the compressed data and transmit the encoded data to a first node of a distributed ledger.

Abstract: Systems and methods for generating, selecting, and implementing rule-based strategies are disclosed. An input data set representing a plurality of interactions that may be classified as malicious or non-malicious is received and at least one strategy tree including a plurality of rule-based strategies is generated. The at least one strategy trees is generated by a machine learning model configured to generate a tree structure. The rule-based strategies are ranked based on a precision-recall-stability (PRS) score generated for each of the rule-based strategies and at least a first rule-based strategy having a highest PRS score is extracted. One or more interactions are evaluated using the first rule-based strategy to determine when the one or more interactions are malicious.

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, cause the one or more processors to perform: determining, by a distributed processing architecture and based on first transaction data of first transactions for first items, first micro-intents; grouping, by the distributed processing architecture, the first micro-intents into clusters; receiving, by a distributed memory architecture, second transaction data of a user transaction from a user interface of an electronic device of a user during a current browsing session of a website; determining, by the distributed processing architecture, one or more second micro-intents; determining, by the distributed processing architecture, that the user is expressing a current micro-intent; and transmitting an instruction to display a user interface element on the user interface of the electronic device. Other embodiments are described.

Abstract: A method can include receiving a signal from a user device of a user. The method can further include processing, via a machine learning model, user intent labels, wherein: the machine learning model is pre-trained based on historical input data and historical output data associated with multiple users comprising the user, the historical input data comprise historical feature embedding vectors associated with the multiple users, and the historical output data comprise historical intent labels based at least in part on uttered intents of the multiple users. The method can also include processing one or more user intent candidates of the user intent labels. The method can further include processing one or more user interface components for the one or more user intent candidates. Additionally, the method can include transmitting the one or more user interface components to be presented on a user interface executed on the user device of the user. Other embodiments are described.

Abstract: A method can include capturing, via a camera, an image for upload. The method further can include determining a polygon mask layer having one or more polygon masks for a user body in the image, comprising: (a) determining, via a body pose landmarking algorithm, key joint points for the user body based on joint landmarks defined in a configuration set; and (b) determining the polygon masks based on the key joint points and one or more regions of interest defined in the configuration set. The method additionally can include determining a skin mask layer with a skin mask for the image. The method also can include blending the one or more polygon masks and the skin mask into a final mask layer comprising a final mask for the image. The method further can include applying the final mask to the image. Other embodiments are disclosed.

Abstract: Systems and methods described herein are optimized for cutting sealing elements on packages using optical radiation. Packages can pass through a cutting device that applies the optical radiation to damage, vaporize, or cut the sealing element (e.g., tape) on the package. The systems and methods control several aspects of the cutting process to adjust throughput, improve efficiency, and reduce line stoppages. Systems can include an in-feed conveyor that orients packages and rejects packages that are out of specification, which can lead to issues such as jamming or damage to the equipment. Systems can include a variable-speed cut conveyor controlled by a computing system to dynamically adjust the speed of packages based upon historical cut quality, environmental measurement data, and height data related to a vertical dimension of the package.

Abstract: Shipment receiving systems and methods are disclosed. Invoice and store inventory management data is provided to an invoice processor for assigning expected destinations to lanes of a material transporter having and a plurality of outlet lanes that each have an indicator. A scanner determines a case identifier for each case which is routed accordingly. One or more notifications is provided to the indicator of one or more of the plurality of outlet lanes. Received shipment data enables reconciliation of upstream supply change management systems and downstream store inventory systems.

Abstract: An example system for digital wallet management including one or more databases and a computing system is described. The databases are configured to store data corresponding to purchase history of a user, the purchase history including payment account information for a first transaction captured through a reader at a point-of-sale system at the time of the first transaction and an identifier associated with the first transaction. The computing system receives a machine-readable element having the identifier associated with the first transaction encoded therein, searches the databases to determine the payment account information associated with the identifier, generates a prompt requesting confirmation of adding the payment account information for the first transaction to a digital wallet, receives positive confirmation to the generated prompt, and populates the digital wallet with the payment account information.

Abstract: This application relates to apparatus and methods for identifying anomalies within data, such as pricing data. In some examples, a computing device receives data updates and selects a machine learning model to apply to the data update. The computing device may train the machine learning model with features generated based on historical purchase order data. An anomaly score is generated based on application of the machine learning model. Based on the anomaly score, the data update is either allowed, or denied. In some examples, the computing device re-trains the machine learning model with detected anomalies. In some embodiments, the computing device prioritizes detected anomalies for further investigation. In some embodiments, the computing device identifies the cause of the anomalies by identifying at least one feature that is causing the anomaly.

Abstract: This application relates to apparatus and methods for identifying fraudulent transactions. The embodiments may employ machine learning processes to detect fraudulent activity. In some examples, a computing device determines customer data and device data for a customer and device involved in a transaction. The customer data may include previous transactions by the customer, and the device data may include previous transactions involving the device. The computing device generates features based on the customer data and the device data, and applies one or more machine learning models to the generated features to generate a trust score. The trust score is indicative of how likely a transaction is to be fraudulent. In some examples, the transaction is not allowed if the trust score is beyond a threshold. In some examples, the computing device trains the machine learning models based on customer data and device data for a plurality of customers and devices.

Abstract: A system and method for providing proxy picking of non-fungible goods within an automated storage and retrieval system is provided, which repurposes one or more automated mobile robots operating within the automated inventory management system to perform a plurality of tasks across multiple different areas of an automated store. The proxy picking system and method are configured to pick individually identified non-fungible goods according to a customer selection on an ordering screen based on measured attributes and images of the goods, the attributes selected by the customer.