SPOT (Sales Production based On Time-Series): A Comprehensive Approach to Sales Forecasting using Contextually-tailored Time Series Analysis-Reference-Cited by-同舟云学术

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SPOT (Sales Production based On Time-Series): A Comprehensive Approach to Sales Forecasting using Contextually-tailored Time Series Analysis

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)
language:
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Author:

Zama Mohammed¹,Jotawar Aditya¹,Du Jiakai¹,Anik Fahim Islam²,Anjum Nafisa³,Saha Bilash³,Sakib Nazmus³,Shahriar Hossain³

Affiliation:

1. University at Buffalo, SUNY,Institute for Artificial Intelligence and Data Science,New York,United States

2. Khulna University of Engineering & Technology,Department of Mechanical Engineering,Khulna,Bangladesh

3. Kennesaw State University,Department of Information Technology,Georgia,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10103226/10103227/10103314.pdf?arnumber=10103314

Reference23 articles.

1. Investigation of Artificial Intelligence Techniques in Finance and Marketing

2. Business cycle-based sales forecasting: creating a tool for predictive accuracy analysis;flatscher,2019

3. 5 facts about food waste and hunger | World Food Programme,0

4. An exploration of sales forecasting: sales manager and salesperson perspectives

5. Trends in Machine Learning Applied to Demand & Sales Forecasting: A Review - Archive ouverte HAL,0

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