The Deep Learning Approach In Demand Forecasting In The Supply Chain Process Of Ice Creams At The Grocery Store Firm

DOI

10.2991/978-94-6463-694-9_23How to use a DOI?

Keywords

Deep learning; Supply chain; Ice-cream industry; Inventory level control

Abstract

Research purpose:

This study investigates the application of a Deep Feedforward Network (DFN) for demand forecasting and customer willingness-to-pay predictions in the retail sector.

Research design, approach, and method:

Using real-world data from VinMart and other retail stores, the DFN was tested for its ability to predict order quantities across multiple locations.

Main findings:

While the model delivered promising results, training separate networks for individual stores proved more effective than using a single network for all stores, due to varying input significance levels. Data limitations, such as the lack of extensive historical records, affected accuracy. Additionally, the DFN was used to predict customer willingness-to-pay, with inputs gathered through quantitative research. While the model showed potential, its success is highly dependent on data quality.

Practical/managerial implications:

Future research should explore alternative deep learning architectures and incorporate more diverse variables to enhance accuracy. This study underscores the importance of robust data for optimizing supply chain decisions in retail.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tran Luu Thi
AU  - Tran Tien Huy
AU  - Ngo Thi Trang Thuy
AU  - Phan Tien Thanh
AU  - Huu Thuan Thang Nguyen
AU  - Nguyễn Thị Dung
AU  - Lê Thị Long Châu
AU  - Nguyen Nhat Minh
AU  - Nguyen Ho Thanh Dat
AU  - Hoang Van Hai
PY  - 2025
DA  - 2025/04/30
TI  - The Deep Learning Approach In Demand Forecasting In The Supply Chain Process Of Ice Creams At The Grocery Store Firm
BT  - Proceedings of the International Conference on Emerging Challenges: Sustainable Strategies in the Data-driven Economy (ICECH 2024)
PB  - Atlantis Press
SP  - 332
EP  - 345
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-694-9_23
DO  - 10.2991/978-94-6463-694-9_23
ID  - Thi2025
ER  -