Amit N Aggarwal

20220198549, Jun 23, 2022

Dec 18, 2020

17/127910

- Burlingame CA, US
Xinyi Zhou - San Mateo CA, US
James Grunewald - Bonney Lake WA, US
Amit Aggarwal - Los Altos CA, US
Andrey Zaytsev - Fort Collins CO, US
Ruslan Gilfanov - Boulder CO, US

G06Q 30/06
G06Q 10/08
G06Q 10/10
G06Q 20/08
G06F 9/445
H04L 12/58
H04L 29/12

Example order management systems and methods are described. In one implementation, a catalog ingestion system receives data associated with multiple products offered by multiple brands. A commerce management system receives a customer order from a customer. The customer order includes at least a portion of the multiple products offered by the multiple brands. The commerce management system splits the customer order into multiple brand orders such that each brand order is associated with products in the customer order from a particular brand. An integration platform fulfills the brand orders by submitting the brand orders to the associated brands.

20210286610, Sep 16, 2021

Mar 15, 2021

17/201502

- New York NY, US
Amit AGGARWAL - Jersey City NJ, US
Steven SHARP - North Berwick, GB
Elizabeth ROLAND - Maspeth NY, US
Heydon COSTELLO - Glasgow, GB

G06F 8/65

The invention relates generally to a system and method for implementing a software release update automation tool without using version numbers. An embodiment of the present invention is directed to an Automation Tool that manages software promotion from different perspectives by using dynamic value injection and automation. This efficiently eliminates or substantially reduces human efforts and manual tasks on the complicated process of version management. In addition, the Automation Tool of an embodiment of the present invention may further take current version snapshots, manage change logs for audit, perform version validation for match and unmatched build post promotion, and provide email or other communication notification and/or alerts.

20200118066, Apr 16, 2020

Dec 16, 2019

16/714998

- San Antonio TX, US
Amit Aggarwal - New York NY, US
James Liao - New York NY, US
Brian Kaminsky - Hewlett NY, US

iHeartMedia Management Services, Inc. - San Antonio TX

G06Q 10/08
G06Q 30/02
G06Q 20/14

A planning system obtains an order attribute table associating media advertising orders with flexibility attribute values that indicate scheduling flexibility, and generates an inventory table having cells representing station-daypart combinations. The cells of the inventory table are assigned flexibility attribute values corresponding to the flexibility attribute values of orders booked into corresponding station-daypart combinations. The planning system makes a comparison between a first flexibility attribute associated with an un-booked order and a second flexibility attribute associated with a booked order already booked in a particular station-daypart combination, where the comparison shows that the un-booked order has less scheduling flexibility than the booked order. In response to the comparison, an association between the booked order and the particular station-daypart combination is replaced with an association between the un-booked order and the particular station-daypart combination. A plan lineup is then generated based on the inventory table.

20200027119, Jan 23, 2020

May 31, 2019

16/427380

- Chicago IL, US
David Thacker - Burlingame CA, US
Paul Gauthier - San Francisco CA, US
Amit Aggarwal - Los Altos CA, US

G06Q 30/02

A promotion program analytical system and method is disclosed. The promotion program analytical system and method selects a promotion program to offer to a consumer. Selection of the promotion program to present to the consumer includes determining a probability that the consumer will accept the promotion program. The probability of acceptance may be determined based on past performance data of similar promotion programs, and also past performance data on the promotion program itself when it is available.

20180068257, Mar 8, 2018

Sep 6, 2016

15/257027

- San Antonio TX, US
Amit Aggarwal - New York NY, US
James Liao - New York NY, US
Brian Kaminsky - Hewlett NY, US

iHeartMedia Management Services, Inc. - San Antonio TX

G06Q 10/08
G06Q 20/14
G06Q 30/02

A planning system can receive media advertising orders including flexibility attributes indicating whether the orders are flexible with regard to various different circumstances. The planning system can obtain both booked an unbooked inventory from a traffic and billing system, and determine associations or re-associations between the advertising orders and the booked and unbooked inventory based on the flexibility attributes. The planning system can then generate a non-guaranteed order including the associations or re-associations, and transmit the order to media delivery system. The planning system can obtain feedback and/or real time data that can be used to reassess existing associations, and in some cases adjust the flexibility attribute values.

20160301984, Oct 13, 2016

Oct 30, 2015

14/928145

- San Antonio TX, US
Amit Aggarwal - New York NY, US
Patricia D. Roberts - San Diego CA, US
Kathleen Brougham - Dana Point CA, US
Jeffrey Joseph Augustyn - Aliso Viejo CA, US

iHeartMedia Management Services, Inc. - San Antonio TX

H04N 21/81
H04N 21/458
H04N 21/44
H04N 21/262

Total advertising inventory of a broadcast station can be dynamically allocated between local, or station-sold, inventory and general, or network, inventory. The portion of total inventory allocated to local inventory or network inventory can be adjusted based on feedback from an advertising service, and a broadcast log can be generated based on the adjusted allocation. The broadcast log can be delivered to a media automation system associated with a media station which plays out local inventory in accordance with the broadcast log. When the broadcast log indicates that general/network inventory is to be broadcast, the media automation system stops playing-out local inventory, and allows the advertisement system to broadcast network inventory for a period of time indicated by the broadcast log. Broadcast of local inventory can be resumed early, before the time period indicated in the broadcast log has expired.