Forecasting seasonal demand for retail: A Fourier time-varying grey model

L Ye, N Xie, JE Boylan, Z Shang - International Journal of Forecasting, 2024 - Elsevier
Seasonal demand forecasting is critical for effective supply chain management. However,
conventional forecasting methods face difficulties accurately estimating seasonal variations …

A seasonal discrete grey forecasting model for fashion retailing

M Xia, WK Wong - Knowledge-Based Systems, 2014 - Elsevier
In the fashion retail industry, level of forecasting accuracy plays a crucial role in retailers'
profit. In order to avoid stock-out and maintain a high inventory fill rate, fashion retailers …

Daily retail demand forecasting using machine learning with emphasis on calendric special days

J Huber, H Stuckenschmidt - International Journal of Forecasting, 2020 - Elsevier
Demand forecasting is an important task for retailers as it is required for various operational
decisions. One key challenge is to forecast demand on special days that are subject to vastly …

A comparative study of linear and nonlinear models for aggregate retail sales forecasting

CW Chu, GP Zhang - International Journal of production economics, 2003 - Elsevier
The purpose of this paper is to compare the accuracy of various linear and nonlinear models
for forecasting aggregate retail sales. Because of the strong seasonal fluctuations observed …

Joint in-season and out-of-season promotion demand forecasting in a retail environment

J Wolters, A Huchzermeier - Journal of Retailing, 2021 - Elsevier
Inaccurate forecasts of demand during promotions diminish the already meager profit
margins of retailers. No forecasting method described in the literature can accurately …

Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores

E Taghizadeh - arXiv preprint arXiv:1711.08325, 2017 - arxiv.org
One key requirement for effective supply chain management is the quality of its inventory
management. Various inventory management methods are typically employed for different …

A score-driven model of short-term demand forecasting for retail distribution centers

H Hoeltgebaum, D Borenstein, C Fernandes, Á Veiga - Journal of Retailing, 2021 - Elsevier
Forecasting is one of the fundamental inputs to support planning decisions in retail chains.
Frequently, forecasting systems in retail are based on Gaussian models, which may be …

Improved sales forecasting using trend and seasonality decomposition with lightgbm

T Zhou - 2023 6th International Conference on Artificial …, 2023 - ieeexplore.ieee.org
Retail sales forecasting presents a significant challenge for large retailers such as Walmart
and Amazon, due to the vast assortment of products, geographical location heterogeneity …

Classification-based model selection in retail demand forecasting

M Ulrich, H Jahnke, R Langrock, R Pesch… - International Journal of …, 2022 - Elsevier
Retailers supply a wide range of stock keeping units (SKUs), which may differ for example in
terms of demand quantity, demand frequency, demand regularity, and demand variation …

[HTML][HTML] Machine learning outperforms classical forecasting on horticultural sales predictions

F Haselbeck, J Killinger, K Menrad, T Hannus… - Machine Learning with …, 2022 - Elsevier
Forecasting future demand is of high importance for many companies as it affects
operational decisions. This is especially relevant for products with a short shelf life due to the …