公开(公告)号：US11232400B1

公开(公告)日：2022-01-25

申请号：US16789015

申请日：2020-02-12

Applicant: VERSATA DEVELOPMENT GROUP, INC.

Inventor： Daniel P. Karipides ,  David R. Middleton ,  Andrew S. Price

IPC: G06Q10/08 ,  G06Q10/02

Abstract: A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.

公开(公告)号：US12056662B1

公开(公告)日：2024-08-06

申请号：US18297538

申请日：2023-04-07

Applicant: Versata Development Group, Inc.

Inventor： Jon Loyens ,  David R. Middleton ,  Rahul Subramaniam ,  Aditya P. Kulkarni ,  Asif Ahmed Sheikh

IPC: G06Q10/00 ,  G06Q10/08 ,  G06Q10/087 ,  G06Q10/10 ,  G06Q30/02

CPC classification number: G06Q10/087 ,  G06Q10/10 ,  G06Q30/02

Abstract: An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.

公开(公告)号：US11836675B1

公开(公告)日：2023-12-05

申请号：US17549699

申请日：2021-12-13

Applicant: VERSATA DEVELOPMENT GROUP, INC.

Inventor： Daniel Karipides ,  David R. Middleton ,  Andrew S Price

IPC: G06Q10/08 ,  G06Q10/02 ,  G06Q10/087

CPC classification number: G06Q10/087 ,  G06Q10/02

Abstract: A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.

公开(公告)号：US11631049B1

公开(公告)日：2023-04-18

申请号：US16809033

申请日：2020-03-04

Applicant: Versata Development Group, Inc.

Inventor： Jon Loyens ,  David R. Middleton ,  Rahul Subramaniam ,  Aditya P. Kulkarni ,  Asif Ahmed Sheikh

IPC: G06Q10/00 ,  G06Q10/08 ,  G06Q10/087 ,  G06Q30/02 ,  G06Q10/10

Abstract: An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.