UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2202381


Registration ID:
320601

Page Number

d618-d627

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Title

Improvement in order planning process through AI-based zonal sales prediction and analysis

Authors

Abstract

The team at Pantaloons does sales prediction and order planning manually in an excel sheet. Through our project, we try to see how the prediction process can be improved and incorporate everything into a software that’ll be based on machine learning, helping in getting an output that’ll be much more accurate and relevant, with a significant drop in human input.

Key Words

order planning, forecast, machine learning, LSTM

Cite This Article

"Improvement in order planning process through AI-based zonal sales prediction and analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.d618-d627, February-2022, Available :http://www.jetir.org/papers/JETIR2202381.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Improvement in order planning process through AI-based zonal sales prediction and analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppd618-d627, February-2022, Available at : http://www.jetir.org/papers/JETIR2202381.pdf

Publication Details

Published Paper ID: JETIR2202381
Registration ID: 320601
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.29307
Page No: d618-d627
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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