Improved collaborative filtering for cross-store demand forecasting

M Liang, L Yang, K Li, H Zhai - Computers & Industrial Engineering, 2024 - Elsevier
Accurate and reliable demand forecasting is crucial for decision-making in assortment
planning, store location, and various operational aspects. This study proposes a hybrid TS …

Analysis the capacity of grain export potential in Ukraine, possible reasons for the decrease and development trends

N Gafarov, E Ibrahimov, M Huseynov - Scientific Horizons, 2022 - sciencehorizon.com.ua
The research presents an analysis of grain production and export capacity in Ukraine from
2010-2021. The major general factors that have recently affected the country's …

A New Hybrid Approach for Product Management in E-Commerce

HO Yüregir, M Özşahin, S Akcan Yetgin - Applied Sciences, 2024 - mdpi.com
Nowadays, due to the developments in technology and the effects of the pandemic, people
have largely switched to e-commerce instead of traditional face-to-face commerce. In this …

Large-scale Probabilistic Forecasting of Consumer Engagement of CPG Products using Heterogeneous Web Data

A Al Imran, KS Perera - Procedia Computer Science, 2024 - Elsevier
Abstract Consumer Packaged Goods (CPG) play a pivotal role in customer-centric
industries. Understanding the distinctive features of such products and how customers …

Sparse Time Series Demand Forecasting for Intermittent Availability

O Helgesson, N Laszlo - 2023 - odr.chalmers.se
This thesis addresses the challenge of forecasting sales for individual perishable markdown
products using historical sales data and other relevant features in the form of time series …

DLSTM-SCM–A Dynamic LSTM-Based Framework for Smart Supply Chain Management

SE Hasnaoui, MA Boudouaia… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In the retail industry, Supply Chain Management (SCM) holds significant importance as it
ensures the efficient movement of goods from suppliers to customers. In this intricate and …

Ensemble Deep Transfer Learning Approaches for Sales Forecasting

B Erol, T Inkaya - Proceedings of the 7th International Conference on …, 2023 - dl.acm.org
Sales forecasting is one of the most important tasks in supply chain management. With
effective and accurate sales forecasts, the cost of managing the supply chain can be …

[PDF][PDF] A systematic study on effective demand prediction using machine learning

P Malviya, V Bhandari - Journal of Integrated Science and …, 2024 - pubs.thesciencein.org
Effective demand prediction is a crucial aspect of business planning, enabling organizations
to optimize their operations and make informed decisions. The advent of big data and …

Machine Learning and Stochastic Simulation for Inventory Management

O Olaleye - 2024 - dspace.mit.edu
This thesis explores the use of advanced data-driven techniques for dimensioning safety
stock and optimizing inventory in a supply chain. The thesis is based on data and insights for …

Order-Picking Forecasting Using a Statistical and Machine Learning Approach

KO Manu-Tawiah - 2024 - search.proquest.com
This research optimizes workforce planning in fulfillment centers using machine-learning
algorithms to forecast order-picking lines. Employing the Theory of Constraints (TOC), the …