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Customer-Centric Sales Forecasting Model: RFM-ARIMA Approach Cover

Customer-Centric Sales Forecasting Model: RFM-ARIMA Approach

Business Systems Research Journal
Volume 13 (2022): Issue 1 (June 2022)
By: Sanket Tanaji Londhe and  Sushila Palwe  
Open Access
|Oct 2022

Authors

Sanket Tanaji Londhe

sanketlondhe99@gmail.com

School of Computer Engineering and Technology, MIT-World Peace University, Pune, India

Sushila Palwe

Sushila.Palwe@mitwpu.edu.in

School of Computer Engineering and Technology, MIT-World Peace University, Pune, India
DOI: https://doi.org/10.2478/bsrj-2022-0003 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
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Language: English
Page range: 35 - 45
Submitted on: Dec 29, 2021
|
Accepted on: May 8, 2022
|
Published on: Oct 15, 2022
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Business Intelligence,
Customer Analysis,
Sales Forecasting,
Exploratory Analysis,
Segmentation,
Decision Support System,
Recency,
Frequency & Monetary Value (RFM),
Auto-Regressive Integrated Moving Averages (ARIMA),
Long short-term memory (LSTM)
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Business management, other,
Mathematics and statistics for economists,
Mathematics

© 2022 Sanket Tanaji Londhe, Sushila Palwe, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.

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