The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 25, 2023

Filed:

Jul. 24, 2019
Applicant:

Legion Technologies, Inc., Redwood City, CA (US);

Inventors:

Thomas Joseph, Atherton, CA (US);

Yahya Sowti Khiabani, Fremont, CA (US);

Sanish Mondkar, San Francisco, CA (US);

Gopal Sundaram, Saratoga, CA (US);

Assignee:

LEGION TECHNOLOGIES, INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06F 16/29 (2019.01); G06Q 10/0637 (2023.01); G06Q 30/0204 (2023.01); G06N 5/02 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/29 (2019.01); G06N 5/02 (2013.01); G06N 5/04 (2013.01); G06Q 10/06375 (2013.01); G06Q 30/0205 (2013.01);
Abstract

A machine learning system for forecasting demand implements an improved process using event streams for predicting the impact that events in the geographic area surrounding an establishment have on demand forecasts for the establishment. A range of distances from the establishment can be determined and divided up into different distances. Event streams can be generated from the events by grouping the events into combinations of event attributes, such as event category and the distance of the event from the establishment. The event streams can be provided as inputs along with demand data for computing demand forecasts that account for increased or decreased traffic patterns in the geographic area surrounding the event. The event streams can be filtered based on the magnitude of the impact the events have on the demand for the products and/or services of the establishment before, during and after the event takes place.


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