Saurabh Kumar Gupta

US Patent:

20140067893, Mar 6, 2014

Filed:

Aug 31, 2012

Appl. No.:

13/601709

Inventors:

Mitchell A. Thornton - Dallas TX, US
Saurabh Gupta - Dallas TX, US

International Classification:

G06F 7/544

US Classification:

708490

Abstract:

Methods, apparatuses, and computer program products for squaring an operand include identifying a fixed-point value with a fixed word size and a substring size for substrings of the fixed-point value, wherein the fixed-point value comprises a binary bit string. A square of the fixed-point value can be determined using the fixed point value, the substring size, and least significant bits of the fix-point value equal to the substring size.

US Patent:

20190303865, Oct 3, 2019

Filed:

Jun 19, 2019

Appl. No.:

16/445568

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Alan J. King - South Salem NY, US
Ali Koc - White Plains NY, US
Yingjie Li - Chappaqua NY, US
Xuan Liu - Yorktown Heights NY, US
Christopher S. Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US
Xiaobo Zheng - Shanghai, CN

International Classification:

G06Q 10/08
G06F 16/23
H04L 12/26
G06F 16/17
G06F 16/182
G06F 16/14
G06N 20/00
G06Q 30/02
G06Q 10/06
G06N 5/04
G06Q 30/06
G06F 3/0484
G06F 3/0482

Abstract:

Evaluating node fulfillment capacity in node order assignment by receiving a current order for node order assignment, retrieving data of each node, the retrieved data of each node including current capacity utilization, determining a probability of backlog on an expected ship date of each node, the probability of backlog being based on the retrieved current capacity utilization, determining a capacity utilization cost of each node based on the probability of backlog on the expected ship date, automatically calculating a fulfillment cost of each node of the current order based on the capacity utilization cost, identifying one or more nodes for the current order with the lowest fulfillment cost and automatically generating a node order assignment assigning the current order to one of the one or more nodes with the lowest fulfillment cost.

US Patent:

20190258998, Aug 22, 2019

Filed:

May 1, 2019

Appl. No.:

16/400291

Inventors:

- Armonk NY, US
Saurabh Gupta - Dallas TX, US
Arun Hampapur - Norwalk CT, US
Xuan Liu - Yorktown Heights NY, US
Christopher S. Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US

International Classification:

G06Q 10/08
G06N 20/00
H04L 12/26
G06F 16/182
G06F 16/17
G06F 16/14
G06Q 30/02
G06F 16/23
G06F 3/0484
G06F 3/0482
G06Q 10/06
G06N 5/04
G06Q 30/06

Abstract:

Data content delivery and validation in a computer environment may provide a file system in the computer environment, the file system subdivided into unique folder locations per content type, each of the unique folder locations representing a content type folder. The file system is monitored for changes to a content type folder. An occurrence of a manifest file in the content type folder may be detected, the occurrence of the manifest file ensuring that all files in a package of files associated with the manifest file have arrived. Content of the manifest file may be analyzed to check validity of the files. A content package registry may be queried to determine a base job for processing a given content type associated with the package of files, and the base job may be run to process the package of files.

US Patent:

20180158008, Jun 7, 2018

Filed:

Nov 30, 2017

Appl. No.:

15/827599

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Ali Koc - White Plains NY, US
Yingjie Li - Chappaqua NY, US
Xuan Liu - Yorktown Heights NY, US
Christopher Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US
Xiaobo Zheng - Shanghai, CN

International Classification:

G06Q 10/06

Abstract:

A method for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks. A framework adaptor/connector is leveraged by the OMS to provide a web client for communicating with and integrating to the SaaS analytics runtime environment, encapsulating all necessary connection pooling, security, and data marshaling complexity away from the order management system to meet strict service response time windows.

US Patent:

20170330211, Nov 16, 2017

Filed:

May 13, 2016

Appl. No.:

15/154285

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Alan King - South Salem NY, US
Ali Koc - White Plains NY, US
Yingjie Li - Chappaqua NY, US
Xuan Liu - Yorktown Heights NY, US
Christopher Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US
Xiaobo Zheng - Shanghai, CN

International Classification:

G06Q 30/02
G06Q 30/02
G06Q 10/08

Abstract:

A method and computer readable medium for selecting order fulfillment nodes within an order fulfillment system. The method determines one or more product-node pairs of an omni-channel order fulfillment system responsive to a received customer order. There is received for each determined product-node pair, a first input including an associated price and a price markdown rate (r) for the product. There is further received for each product-node pair, input representing a current amount of supply availability of the product (w) for a period of time in an inventory; and a first threshold value and a second threshold values defining a supply availability window of the product. The method computes an inventory performance value based on the current w, the defined supply availability window, and one or more the p and r values; and selects a node for customer order fulfillment based on the computed cost of inventory performance value.

US Patent:

20170213174, Jul 27, 2017

Filed:

Jan 13, 2017

Appl. No.:

15/406342

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Ali Koc - White Plains NY, US
Yingjie Li - Chappaqua NY, US
Xuan Liu - Yorktown Heights NY, US
Christopher Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US
Xiaobo Zheng - Shanghai, CN

International Classification:

G06Q 10/06

Abstract:

A system, method and computer program product for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks. A framework adaptor/connector is leveraged by the OMS to provide a web client for communicating with and integrating to the SaaS analytics runtime environment, encapsulating all necessary connection pooling, security, and data marshaling complexity away from the order management system to meet strict service response time windows.

US Patent:

20170206217, Jul 20, 2017

Filed:

Mar 31, 2016

Appl. No.:

15/087012

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Xuan Liu - Yorktown Heights NY, US
Christopher S. Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US

International Classification:

G06F 17/30

Abstract:

Data content delivery and validation in a computer environment may provide a file system in the computer environment, the file system subdivided into unique folder locations per content type, each of the unique folder locations representing a content type folder. The file system is monitored for changes to a content type folder. An occurrence of a manifest file in the content type folder may be detected, the occurrence of the manifest file ensuring that all files in a package of files associated with the manifest file have arrived. Content of the manifest file may be analyzed to check validity of the files. A content package registry may be queried to determine a base job for processing a given content type associated with the package of files, and the base job may be run to process the package of files.

US Patent:

20170206478, Jul 20, 2017

Filed:

Mar 31, 2016

Appl. No.:

15/087609

Inventors:

- Armonk NY, US
Saurabh Gupta - Irving TX, US
Arun Hampapur - Norwalk CT, US
Ali Koc - White Plains NY, US
Yingjie Li - Chappaqua NY, US
Xuan Liu - Yorktown Heights NY, US
Christopher S. Milite - Oxford CT, US
Brian L. Quanz - Yorktown Heights NY, US
Chek Keong Tan - Danbury CT, US
Dahai Xing - White Plains NY, US

International Classification:

G06Q 10/06
G06Q 10/08

Abstract:

A method and system determining node order fulfillment performance considering cancelation costs. The method includes receiving a current order for fulfillment node assignment and calculating a cancelation ratio of a node of a plurality of nodes by dividing orders canceled due to back order from the node by orders scheduled from the node collected from a pre-assigned time period. The method also includes determining a cancelation cost of the node based on the cancelation ratio of said node. The method then includes automatically generating a node order assignment based on the determined cancelation cost for fulfillment of a current order.