[HTML][HTML] Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach

M Seyedan, F Mafakheri, C Wang - Decision Analytics Journal, 2022 - Elsevier
Demand forecasting is an important aspect in supply chain management that could
contribute to enhancing the profit and increasing the efficiency by aligning the supply …

Improving inventory performance with clustering based demand forecasts

PK Bala - Journal of Modelling in Management, 2012 - emerald.com
Purpose–The purpose of this paper is to develop a forecasting model for retailers based on
customer segmentation, to improve performance of inventory. Design/methodology …

A retail demand forecasting model based on data mining techniques

İ İşlek, ŞG Öğüdücü - 2015 IEEE 24th International Symposium …, 2015 - ieeexplore.ieee.org
This paper addresses the problem of forecasting various product demands of main
distribution warehouses. Demand forecasting is the activity of building forecasting models to …

[HTML][HTML] A comparative study of demand forecasting models for a multi-channel retail company: a novel hybrid machine learning approach

A Mitra, A Jain, A Kishore, P Kumar - Operations research forum, 2022 - Springer
Demand forecasting has been a major concern of operational strategy to manage the
inventory and optimize the customer satisfaction level. The researchers have proposed …

A big data driven framework for demand-driven forecasting with effects of marketing-mix variables

A Kumar, R Shankar, NR Aljohani - Industrial marketing management, 2020 - Elsevier
This study aims to investigate the contributions of promotional marketing activities, historical
demand and other factors to predict, and develop a big data-driven fuzzy classifier-based …

Sales forecasting of a food and beverage company using deep clustering frameworks

R Mitra, P Saha, M Kumar Tiwari - International Journal of …, 2024 - Taylor & Francis
The competition among Food & Beverage companies has substantially increased in today's
age of digitization. Sales forecasting is one of their main challenges. Due to space …

Forecast of individual customer's demand from a large and noisy dataset

PW Murray, B Agard, MA Barajas - Computers & industrial engineering, 2018 - Elsevier
Optimization of the supply chain relates on data that describes actual or future situation.
Besides in many situations available data may not correspond directly to what is expected …

[PDF][PDF] A Decision Support System for Demand Forecasting based on Classifier Ensemble.

I Islek, SG Ögüdücü - FedCSIS (Communication Papers), 2017 - annals-csis.org
Demand forecasting is the process of constructing forecasting models to estimate the
quantities of several products that customers will purchase in the future. When the …

A selection of advanced technologies for demand forecasting in the retail industry

J Wang, GQ Liu, L Liu - 2019 IEEE 4th International …, 2019 - ieeexplore.ieee.org
Retail companies always attempt to find a forecasting method to balance their purchasing
and sales, whereas the performances of various prediction techniques are still not reliable …

[HTML][HTML] Demand forecasting for multichannel fashion retailers by integrating clustering and machine learning algorithms

IF Chen, CJ Lu - Processes, 2021 - mdpi.com
In today's rapidly changing and highly competitive industrial environment, a new and
emerging business model—fast fashion—has started a revolution in the apparel industry …