Calvin Lee

20070061210, Mar 15, 2007

Sep 11, 2006

11/519449

Li Chen - Jersey City NJ, US
Jie Weng - Sunnyvale CA, US
Raymond Blanchard - Morgan Hill CA, US
Baskar Jayaraman - Fremont CA, US
Eric Peters - Aptos CA, US
Suresh Kuppahally - Saratoga CA, US
Calvin Lee - San Francisco CA, US

G06Q 90/00

705022000

Methods and systems for predicting out-of-stock occurrences and for assigning root causes to out-of-stock occurrences are described. In one implementation, inventory data and point of sale data are collected. An expected lost sales value is determined. A true demand is determined based on the point-of-sale data and the expected lost sales value. A probability of an out-of-stock occurrence is determined based on the inventory data. In another implementation, an out-of-stock occurrence is identified. The out-of-stock occurrence is classified, and one or more root causes are assigned to the out-of-stock occurrence.

20230115112, Apr 13, 2023

Oct 11, 2021

17/498664

- New York NY, US
Ori Ephraim Goldfield - New York NY, US
Calvin Jun-Gong Lee - Weehawken NJ, US
Jared Robert Wasserman - New York NY, US
Diego D. Zaks Barrios - New York NY, US
Tae Kyung Kong - Bayside NY, US

G06F 16/21
G06F 16/25
G06F 16/23
G06F 9/54
G06Q 20/34

A computing system receives a selection of a parameter-setting rule associated with a specific unique identifier and automatically assigns data parameters to the data records according to the parameter-assigning rule. The computing system determines a domain for each data record based on data parameters associated with the occurred instance. A collection of data records is displayed to a user of the computing system. The collection of data records is displayed with a set of third-party defined fields. Values for the set of third-party defined fields are pre-filled based on the parameter-assigning rules. Upon receiving the request to export the collection of data records, a payload corresponding to the collection of data records for the third-party system is created. The payload includes at least the set of third-party defined fields and the domain associated with each data record automatically assigns data records to the corresponding domain in the third-party system.

20230031874, Feb 2, 2023

Jul 30, 2021

17/390701

- New York NY, US
Calvin Jun-Gong Lee - Weehawken NJ, US
Geoffrey Jacques Charles - Brooklyn NY, US
Ariel Petren Langer - New York NY, US
Diego D Zaks Barrios - New York NY, US

G06Q 40/02
G06Q 40/00
G06Q 30/02
G06F 16/35
G06F 3/0482

A system for detects and manages recurring transactions incurred by members of a client organization. The system includes a computing server that is configured to classify named entities into a category of transacting named entities. For example, the computing server classifies a list of named entities that offer subscription services and hence, create recurring transactions with the client organization. The computing server receives transaction data and determines that a target transacting named entity extracted from the received data belongs to the category (e.g., there is a named entity in the received transaction data that has sold a service to the client organization more than once). The computing server may then determine the presence and frequency of a subscription transaction series in the received transaction data, and cause a predicted a timing of an upcoming transaction in the subscription transaction series to be displayed in a graphical user interface (GUI).