G06Q30/0625

Systems, apparatuses, and methods for extracting inventory from unstructured electronic messages
11798052 · 2023-10-24 · ·

Disclosed are systems, methods, and devices for managing a personal user inventory. In one embodiment, the method comprises retrieving a message associated with a user identifier, the message including a body content portion; identifying a parser associated with the message; parsing the body content portion using the parser to identify an item of merchandise present within the body content portion, wherein the item of merchandise is associated with an item identifier and a set of item details; associating the item of merchandise with the user identifier; and generating a display listing merchandise associated with the user identifier, wherein the listing of merchandise includes the item of merchandise.

Identifying package bundling on an ecommerce platform

In an approach to identifying package bundling on an ecommerce platform, one or more computer processors receive a search query from a user for a primary product in an ecommerce platform. One or more computer processors retrieve a search history of the primary product. One or more computer processors retrieve a product history of the primary product. Based on the retrieved search history and the retrieved product history, one or more computer processors create an ontology tree that includes the primary product and one or more related products. Based on the ontology tree, one or more computer processors determine one or more product bundles that include the primary product and at least one of the one or more related products. One or more computer processors generate a first checklist of the one or more product bundles. One or more computer processors display the first checklist to the user.

TREATMENT SELECTION AND APPLICATION USING MACHINE LEARNING TO PREDICT COST OF TREATMENT WHERE INFORMATION ABOUT COST OF TREATMENT IS UNKNOWN
20230351465 · 2023-11-02 ·

A user treatment engine uses user data describing characteristics of a user to evaluate a set of treatments that the user treatment engine may apply to the user. The user treatment engine generates treatment cost predictions for the treatments and generates treatment scores for the set of treatments based on the treatment cost predictions for the treatments and the user data for the user. The user treatment engine selects and applies a treatment from the set of treatments based on the generated treatment scores. The user treatment engine determines a reward to the online concierge system for the application of the treatment to the user and updates treatment selection parameters for the applied treatment based on the determined reward.

METHOD FOR IMAGE PRODUCT RECOMMENDATION
20230360103 · 2023-11-09 · ·

Embodiments of the present disclosure a method for determining product relevancy including extracting metadata from an image file of a digital image collection, the metadata being indicative of at least one feature of the image file. The method includes creating an input profile corresponding to the metadata extracted from the image files of the digital image collection. The method includes comparing the input profile to a product profile, the product profile having one or more rules corresponding to a consumer product, wherein the rules are indicative of the requirements of the product. The method includes determining a match score, the match score indicative of a relevancy of the product profile to the input profile such that a high relevancy correlates to a consumer product that is suited to the input profile and a low relevancy correlates to the consumer product that is not suited to the input profile.

METHODS AND SYSTEMS FOR PROVIDING AN AUGMENTED REALITY INTERFACE FOR SAVING INFORMATION FOR RECOGNIZED OBJECTS

A method includes displaying and capturing image data containing an object and accessing a plurality of records related to objects, selecting a record related to the captured object, obtaining an identifier of a vendor of the object of the selected data record, combining the selected data record and the vendor identifier to form a search record, displaying, based on the search record, an augmented reality interface to receive a first interactive action for saving the search record, receiving the first interactive action, saving, in response to receiving the first interactive action, the search record into a searchable data structure, receiving a second interactive action, retrieving, in response to receiving the second interactive action, the search record from the searchable data structure, updating the vendor identifier based on the retrieved search record, and displaying information related to the search record.

Electronic List User Interface
20230350930 · 2023-11-02 ·

Processing inputs to electronic list systems. Receiving, from a user device, a user input. Parsing the received user input for a minimum set of product data for querying a shopping service. Upon parsing a minimum set of product data for querying a shopping service, querying at least one shopping service using the parsed data. Receiving, from at least one queried shopping service, at least one product description responsive to the query. Presenting, via the user device, each received at least one product description to the user.

SYSTEMS AND METHODS FOR PERSONALIZING SEARCH ENGINE RECALL AND RANKING USING MACHINE LEARNING TECHNIQUES

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.

SYSTEM AND METHOD FOR PROVIDING A SOCIAL MEDIA SHOPPING EXPERIENCE
20230360109 · 2023-11-09 ·

Disclosed are a system and process of providing social networking purchasing processes. A method includes receiving, from a posting entity and at the social networking entity, a posting or a submission of a text, an image or a video. When the submission is associated with a product within a product catalog of the posting entity, the social networking entity presents in a newsfeed of users or otherwise on the social networking entity, the text, image or video with an associated option to buy. The option to buy might be presented through a messenger application or as the user browses the posting. When there is a correlation between the posting and the product catalog, and when the user makes a purchase of the product, the user is not transitioned away from the social networking entity. Initiating a payment process occurs within the social networking entity.

Virtual currency in a native application environment

Embodiments disclosed provide a virtual currency system within a messaging application by performing operations comprising: launching, within a messaging application, a third-party application; receiving, by the messaging application from the third-party application, a request to perform an ecommerce transaction in relation to an item available for consumption on the third-party application; determining, by the messaging application, an expected attribute for the item based on accessing a database that stores expected attribute information for multiple items; verifying, by the messaging application, that an attribute of the item specified by the request corresponds to the expected attribute for the item; and processing, by the messaging application, the ecommerce transaction in response to successfully verifying that the attribute of the item satisfies a verification criterion based on the expected attribute for the item.

Systems and methods for generation, execution and evaluation of synthetic shopping sessions

Systems, methods, and computer-readable media are disclosed for determining a synthetic audible utterance regarding a product, processing the audible utterance via a catalog service to determine a result and determining the relevance of the result and/or success of the catalog service for benchmarking, marketing, and catalog service improvement purposes. The audible utterance may be based on the product and/or product information as well as an intended action to be performed by the catalog service corresponding to the synthetic utterance. A relevance score may be generated using an embedding algorithm to determine the accuracy and/or appropriateness of the action performed by the catalog service.