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:
Feb. 24, 2026

Filed:

Jul. 29, 2022
Applicant:

Jio Platforms Limited, Ahmedabad, IN;

Inventors:

Akansha Kumar, Hyderabad, IN;

Harish Lingam, Mahabubnagar, IN;

Swargam Santhosh, Warangal Urban, IN;

Manoj Reddy Lakkireddy, Hyderabad, IN;

Pranay Reddy Chen Reddy, Wanaparthy, IN;

Kamlesh Dhondge, Pune, IN;

Manoj Kumar Saraswat, Hyderabad, IN;

Kamlakar Gadegaonkar, Navi Mumbai, IN;

Parishekh Chandra Garg, Navi Mumbai, IN;

Milind Naik, Mumbai, IN;

Sandesh Dashrath Dalvi, Mumbai, IN;

Assignee:

JIO PLATFORMS LIMITED, Ahmedabad, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/087 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0204 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0205 (2013.01);
Abstract

Present disclosure generally relate to stock re-estimation, particularly relates to methods and systems for re-estimating stock and simulating demand, due to price drop in online/offline wholesale/retail products/appliances. System receives attribute data, business context data, price change data, historical sales data, store related data, inventory data, discount data, input plan data as input. System performs feature engineering on input data to extract data latent variables, calendar features, demographics data, derived variables, web extracted data. System performs operations such as price causal, sales forecast, Price Segment (PS) causal, and output data at DC level and determines delta change, multiplication factor, price segment distribution from output data at site level. System obtains input plan data and determined delta change, multiplication factor, price segment distribution from output data at site level to compute re-order plan and output what if analysis, multi-level forecasting, forecast for extended time, demand sensing, seasonality simulation, ABC classification, reorder plan.


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