Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Management & Marketing
Volume 15 (2020): Issue 2 (June 2020)
Open Access
Demand Forecasting of Retail Sales Using Data Analytics and Statistical Programming
Panagiota Lalou
Panagiota Lalou
National Technical University Athens, School of Mechanical Engineering
Athens, Greece
Search for this author on
Sciendo
|
Google Scholar
Lalou, Panagiota
,
Stavros T. Ponis
Stavros T. Ponis
National Technical University Athens, School of Mechanical Engineering
Athens, Greece
Search for this author on
Sciendo
|
Google Scholar
Ponis, Stavros T.
and
Orestis K. Efthymiou
Orestis K. Efthymiou
Search for this author on
Sciendo
|
Google Scholar
Efthymiou, Orestis K.
Jun 30, 2020
Management & Marketing
Volume 15 (2020): Issue 2 (June 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jun 30, 2020
Page range:
186 - 202
DOI:
https://doi.org/10.2478/mmcks-2020-0012
Keywords
Demand Forecasting
,
Decision Making
,
Data Analytics
,
Statistical Programming
,
Retail Sales
,
Third Party Logistics (3PL) Operators
© 2020 Panagiota Lalou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
