UGC Approved Journal no 63975(19)

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

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2208629


Registration ID:
547103

Page Number

g223-g233

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Title

IOT with Blockchain Enabled Machine Learning Model for Sales Prediction using Warehouse Management Data

Abstract

Sales forecasting permits companies to design their manufacturing outputs that donate to enhance firms' inventory management through cost reduction. On the other hand, not every company has a similar ability to keep all essential data in the long term. So, time series with a trivial distance are general within productions, and difficulties occur owing to the small time series does not completely take sales' behavior. Supply Chain Management (SCM) plays a significant part in organizing and managing business processes, enlarging the organization's operational efficacy. Factors like customer satisfaction, product success, and an organization’s growth are based on the effective implementation of SCM. SCM is essential to improve the basis and substructure in societies which in turn upsurges the economic development and living standard of society also. In this article, we present a novel Blockchain Enabled Machine Learning Model for Sales Prediction (BCE-MLMSP) model in Warehouse Management Data. The proposed BCE-MLMSP model exploits BC technology for secured data communication in sales prediction. Initially, the BCE-MLMSP technique takes place data normalization using Z-score normalization is performed. Next, the XGBoost algorithm is designed for the prediction process. Finally, an optimal parameter tuning of the XGBoost method is carried out employing the whale optimization algorithm (WOA). The experimental evaluation of the BCE-MLMSP technique occurs and the outcomes are examined under various aspects. The simulation study inferred the supremacy of the BCE-MLMSP method over current state of art approaches.

Key Words

Internet of Things, Machine Learning, Blockchain, Whale Optimization Algorithm, Sales Prediction

Cite This Article

"IOT with Blockchain Enabled Machine Learning Model for Sales Prediction using Warehouse Management Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.g223-g233, August-2022, Available :http://www.jetir.org/papers/JETIR2208629.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

"IOT with Blockchain Enabled Machine Learning Model for Sales Prediction using Warehouse Management Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppg223-g233, August-2022, Available at : http://www.jetir.org/papers/JETIR2208629.pdf

Publication Details

Published Paper ID: JETIR2208629
Registration ID: 547103
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: g223-g233
Country: Plainfield, IL, United States of America .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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