Applying deep learning to forecast the demand of a Vietnamese FMCG company

Các tác giả

  • Le Duc Dao Trường Đại học Bách khoa - Đại học Quốc gia TP.HCM
  • Le Nguyen Khoi Trường Đại học Bách khoa - Đại học Quốc gia TP.HCM
DOI: https://doi.org/10.59294/HIUJS.VOL.5.2023.552

Từ khóa:

dự báo nhu cầu khách hàng, ARIMA, học sâu, mạng bộ nhớ ngắn hạn dài, FMCG

Tóm tắt

In the realm of Fast-Moving Consumer Goods (FMCG) companies, the precision of demand forecasting is essential. The FMCG sector operates in a highly uncertain environment marked by rapid market shifts and changing consumer preferences. To address these challenges, the application of deep learning techniques, particularly Long Short-Term Memory (LSTM) networks, has emerged as a vital solution for enhancing forecast accuracy. This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

Abstract

In the realm of Fast-Moving Consumer Goods (FMCG) companies, the precision of demand forecasting is essential. The FMCG sector operates in a highly uncertain environment marked by rapid market shifts and changing consumer preferences. To address these challenges, the application of deep learning techniques, particularly Long Short-Term Memory (LSTM) networks, has emerged as a vital solution for enhancing forecast accuracy. This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

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Tải xuống

Số lượt xem: 1454
Tải xuống: 60

Đã xuất bản

24.12.2023

Cách trích dẫn

[1]
L. Đức Đạo Lê Đức Đạo và L. N. K. Lê Nguyên Khôi, “Applying deep learning to forecast the demand of a Vietnamese FMCG company”, HIUJS, vol 5, số p.h ENGLISH JOURNAL, tr 85–92, tháng 12 2023.

Số

Chuyên mục

ECONOMICS AND MANAGEMENT SCIENCES