Demand Forecasting of Trading Companies Based on Time Sequence

DOI

10.2991/aebmr.k.210717.033How to use a DOI?

Keywords

demand forecasting, time sequence, risk

Abstract

CV Lancar Jaya Sakti is a trading company that has not applied forecasting methods in procurement and long-term inventory analysis, so there is no certainty or basis for making requests for goods from suppliers. The purpose of this study is to describe how the demand forecasting method can be applied as a basis for making decisions to minimize the risks that will occur in the future. The technique used in this research is descriptive with quantitative forecasting. The results showed a decrease in sales demands in the forecast period of 2021. This is mostly due to unpredictable external factors such as the Covid-19 pandemic and government policy. The advice given is to optimize the existing resources using the SWOT AHP (Analytical Hierarchy Process) method. The contribution of this research is to prove how the implementation of demand forecasting can solve problems that result in a company’s financial losses. The limitation of this research is the sales flow of CV Lancar Jaya Sakti.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fanda Layla Sari
PY  - 2021
DA  - 2021/07/19
TI  - Demand Forecasting of Trading Companies Based on Time Sequence
BT  - Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)
PB  - Atlantis Press
SP  - 158
EP  - 161
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210717.033
DO  - 10.2991/aebmr.k.210717.033
ID  - Sari2021
ER  -