# US 2025/0086032 A1 · Data analytics for digital catalogs > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0086032 A1 - Document ID: US20250086032A1 - Status: Published application - Kind: A1 - Application number: 18/432,857 - Filed: 2024-02-05 - Published: 2025-03-13 - Earliest claimed: 2023-09-12 - Assignees: Prodx, LLC - Applicants: Prodx, LLC - Inventors: Brodrick David Yastrum; Robert Lawrence Bertsch; Meaghan Carroll Jones; Matthew James Vezzani - Web page: https://patentgrep.com/patent/US20250086032A1 ## CPC - G06F 9/542: {Event management; Broadcasting; Multicasting; Notifications} - G06Q 30/0603: {Catalogue creation or management} - G06N 3/0455: Auto-encoder networks; Encoder-decoder networks - G06N 3/0475: Generative networks - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract Techniques for standardizing a catalog of data and for using the standardized data to implement various APIs are disclosed. Non-standardized data is received. This data includes information describing items, customer information, and unstructured review data. The non-standardized data is converted to a standardized format, resulting in the generation of standardized data. The standardized data includes a hierarchy of defined categories. Each category is associated with a set of attribute types. The standardized data also includes anonymized profiles. The unstructured review data is also provided structure. A data model is generated based on the standardized data. Various APIs can then use the data model to perform operations. ## Claims ### Claim 1 A method comprising: receiving non-standardized data comprising: information describing a plurality of items, said information being obtained from a first domain, and customer information that is also obtained from the first domain; generating standardized data by converting a format of the non-standardized data into a standardized format, wherein: the standardized data includes a hierarchy of multiple defined categories into which various portions of the standardized data are categorized, and each of the multiple defined categories is associated with a corresponding set of attribute types that describe attributes for said each of the multiple defined categories; and including the standardized data within a data model, wherein the standardized data is made accessible to one or more application programming interfaces (APIs). ### Claim 2 (depends on 1) The method of claim 1, wherein the plurality of items are items included in an online catalog. ### Claim 3 (depends on 1) The method of claim 1, wherein the first domain is a domain of an online business entity. ### Claim 4 (depends on 1) The method of claim 1, wherein the non-standardized data further includes unstructured review data obtained from a second domain. ### Claim 5 (depends on 4) The method of claim 4, wherein the unstructured review data includes sentiment data expressing a sentiment of a user who submitted the unstructured review data. ### Claim 6 (depends on 5) The method of claim 5, wherein a natural language processing (NLP) engine provides structure to the unstructured review data by determining the sentiment of the user and by assigning a quantitative value to the sentiment. ### Claim 7 (depends on 1) The method of claim 1, wherein the standardized data includes metadata for each data item included in the standardized data. ### Claim 8 (depends on 1) The method of claim 1, wherein the multiple defined categories include a first category that commonly describes multiple different items included in the plurality of items, and wherein a number of attribute types that are associated with the first category exceeds 20 attribute types. ### Claim 9 (depends on 1) The method of claim 1, wherein the non-standardized data includes catalog data. ### Claim 10 (depends on 1) The method of claim 1, wherein the non-standardized data further includes label data for an item included among the plurality of items, and wherein the label data is obtained from a second domain. ### Claim 11 A computer system comprising: a processor system; and a storage system that stores instructions that are executable by the processor system to cause the computer system to: receive data comprising a first type of data and a second type of data, the first and second types of data being obtained from a common domain; generate standardized data by converting a format of the received data into a standardized format, wherein: the standardized data includes a hierarchy of categories into which various portions of the standardized data are categorized, and each of the categories is associated with a corresponding set of attribute types that describe attributes for said each category; and include the standardized data within a data model, wherein the standardized data is made accessible to an application programming interface (API). ### Claim 12 (depends on 11) The computer system of claim 11, wherein the received data further includes review data. ### Claim 13 (depends on 11) The computer system of claim 11, wherein the first type of data describes a plurality of items, and wherein the standardized data includes a category identification (ID) linked to a group of the items that share one or more common characteristics. ### Claim 14 (depends on 11) The computer system of claim 11, wherein the standardized data is made accessible to the API via an identification (ID) key. ### Claim 15 (depends on 14) The computer system of claim 14, wherein the ID key is one of an ID key for a single item or an ID key for a particular category of multiple items. ### Claim 16 (depends on 11) The computer system of claim 11, wherein the first type of data describes a plurality of items that are included in a catalog. ### Claim 17 A method comprising: receiving data comprising information describing a plurality of items and customer information, wherein the received data is obtained from a first domain; generating standardized data by converting a format of the received data into a standardized format, wherein: the standardized data is organized into a hierarchy of multiple categories, and each of the multiple categories is associated with a corresponding set of attribute types that describe attributes for said each category; and including the standardized data within a data model, wherein the standardized data is made accessible to an application programming interface (API). ### Claim 18 (depends on 17) The method of claim 17, wherein the method is performed by a service that includes at least one of a machine learning (ML) algorithm or a generative pre-trained transformer (GPT). ### Claim 19 (depends on 18) The method of claim 18, wherein the service is a cloud service. ### Claim 20 (depends on 17) The method of claim 17, wherein the plurality of items are items included in a catalog items.