In some embodiments, apparatuses and methods are provided herein useful to searching retail products for purchase and locations of physical retail stores. In some embodiments, there is provided a system for searching both retail products for purchase and locations of physical retail stores including a user interface; a universal search bar cooperatively operating with the user interface to provide a single search tool for a customer to search one or more databases storing at least retail product inventories and a plurality of retail locations; and a control circuit configured to: receive a communication signal to initiate operation of the user interface.

Embodiments of the present disclosure provide a method and a device for evaluating a comment quality, an electronic device, and a computer readable storage medium. The method includes: selecting a metadata key associated with a comment of an object from metadata of the object, the metadata including a plurality of key-value pairs; determining a value corresponding to the metadata key based on the metadata; and evaluating the comment quality based on the comment and the value corresponding to the metadata key.

A raw material system includes a product manufacturing demand estimation system programmed to calculate an expected demand for a product at a future point in time. An environment detection system identifies at least one of an environmental condition or an environmental event. A raw material production system estimates a raw material availability at the future point in time based on the expected demand and the environmental condition/event. A raw material requirement system calculates a required raw material amount to manufacture the product at the future point in time based on the expected demand and the environmental condition/event. A raw material procurement system autonomously configures a futures contract for procurement of at least a portion of the required raw material amount in response to the required raw material amount calculation exceeding the raw material availability estimation.

A method for generating graphic display interface, comprising: receiving an request to generate a graphic display interface comprising at least a client ID; generating a plurality of graphic data structures based on at least one of the request or a priority list, each of the graphic data structures corresponding to a identifier; associating for each of the graphic data structures, an item graphic; tagging each of the graphic data structures with one or more tags, the tagging comprises: determine that the client ID matches at least one member ID; and determine, for each of the graphic data structures, that the associated identifier has a first status, and tagging the graphic data structures with a first tag upon the determination; and associating for each of the graphic data structures based on the associated tags, one of a plurality of service graphics; and generating instruction for the graphic display interface.

Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

A system for enhanced personal property replacement (i) builds a virtual inventory of personal belongings, such as by performing object recognition techniques on mobile device digital images with the customer's permission or affirmative consent; (ii) receives user preferences transmitted from their mobile device; (iii) receives a request from the user to handle an insurance claim after an insurance-related event; (iv) determines items to purchase for the user based upon the user preferences, and/or the extent of damage; and/or (v) transmits, to a retailer remote server a virtual order for the items to be delivered to the user at a temporary (hotel) or permanent (home) address. Insurance claim monies may be used to pay for the items. As a result, after an event (e.g., fire, tornado, hurricane), household or other goods may be automatically purchased and delivered to a customer to alleviate the negative impact of the event on their life.

A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network interface. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control tower memory.

Approaches are described for implementing machine learning in a low latency environment. In one aspect, a method includes: obtaining session records from each of one or more users; identifying, across the session records, a set of behavior records indicative of at least a specified number of most frequent behaviors; generating an embedding for each behavior record in the set of behavior records; storing the generated embeddings for the set of behavior records in a first database; obtaining a current behavior record from the user; matching the current behavior record to a matching set of stored behavior records; selecting the stored embedding of the matching set of stored behavior records as an embedding of the current behavior record based on the matching and within a real-time constraint following entry of the current behavior record by the user; and generating a predicted next action of the user.

A method for prioritizing predictive model data streams includes receiving, by a device, a plurality of predictive model data streams. Each predictive model data stream includes a set of model parameters for a corresponding predictive model. Each predictive model is trained to predict future data values of a data source. The method includes prioritizing, by the device, each of the plurality of predictive model data streams. The method includes selecting at least one of the predictive model data streams based on a corresponding priority. The method includes parameterizing, by the device, a predictive model using the set of model parameters included in the selected at least one predictive model data stream. The method includes predicting, by the device, the future data values of the data source using the parameterized predictive model.

An online concierge system maintains a taxonomy associating one or more specific items offered by a warehouse with a category. When the online concierge system receives a selection of an item from a user for inclusion in an order, the online concierge system determines a category including the selected item. From prior received orders, the online concierge system 102 identifies additional categories including one or more items included in various prior received orders. Based on cooccurrences of the category and the additional categories, the online concierge system generates scores for the additional categories. An additional category is selected based on the scores and specific items from the selected additional category are displayed via an interface for selection by the user.