Muliady, Pindy and Utomo, Prio and Natalia, Friska (2020) Development of Cloud Based Demand Forecasting System: A Case Study in Stationery Industry. In: Proceedings of the First International Conference of Economics, Business & Entrepreneurship, ICEBE 2020, 1 October 2020, Tangerang.
Full text not available from this repository.Abstract
Stationery industry has been facing inventory problems. Having too much unsold inventory leads to increasing of warehousing cost while not having enough inventory will cause lost sales. We propose a digital transformation project, using Amazon Forecasting to make a better demand prediction so company can solve these problems. Framework used in this paper is Digital Maturity Model from TM Forum. Amazon Forecasting will produce forecast scenario based on the data provided. Finally, we proposed a digital roadmap to help company execute this project. Based on the research, it can be concluded that cloud-based demand forecasting is feasible to to solve inventory problems as the technicality requirement and cost needed is affordable by small medium enterprises. By using AWS, company can have better prediction without having an expertise in forecasting technique. The outcomes of this research can be used by other company to plan digital transformation in forecasting.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 600 Technology (Applied Sciences) > 600 Technology > 600 Technology |
| Divisions: | Faculty of Business > Master of Technology Management |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 14 Dec 2021 07:35 |
| Last Modified: | 14 Dec 2021 07:35 |
| URI: | https://kc.umn.ac.id/id/eprint/19635 |
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