Demand forecasting: Literature review on various methodologies

C Ingle, D Bakliwal, J Jain, P Singh… - 2021 12th …, 2021 - ieeexplore.ieee.org
Demand forecasting is a crucial part of any company or supply chain. It aims at predicting
and estimating the future demand of products to help in better decision-making. This paper …

Food demand prediction using the nonlinear autoregressive exogenous neural network

K Lutoslawski, M Hernes, J Radomska, M Hajdas… - IEEE …, 2021 - ieeexplore.ieee.org
Food demand prediction is a significant issue for both business process improvement and
sustainable development. Data science methods, including artificial intelligence methods …

NEON: Living Needs Prediction System in Meituan

X Lan, C Gao, S Wen, X Chen, Y Che… - Proceedings of the 29th …, 2023 - dl.acm.org
Living needs refer to the various needs in human's daily lives for survival and well-being,
including food, housing, entertainment, etc. At life service platforms that connect users to …

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 …

[PDF][PDF] Demand forecasting models for food industry by utilizing machine learning approaches

N Nassibi, H Fasihuddin, L Hsairi - International Journal of Advanced …, 2023 - academia.edu
Continued global economic instability and uncertainty is causing difficulties in predicting
sales. As a result, many sectors and decision-makers are facing new, pressing challenges …

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 …

YİYECEK İÇECEK İŞLETMELERİNDE TALEP TAHMİN YÖNTEMLERİNİN UYGULANABİLİRLİĞİ (BUTK İŞLETMELERDE BİR UYGULAMA

B Deveci, K Arslan, R Bakan - Journal of gastronomy …, 2023 - dspace.balikesir.edu.tr
Bu çalışmanın temel amacı, İstanbul ilindeki butik üretim gerçekleştiren yiyecek içecek
işletme yöneticilerinin, talep tahmin yöntemlerine karşı bilgi düzeylerini belirleyerek …

[PDF][PDF] Food Waste Series-Summary Report: Food loss and waste in Aotearoa New Zealand: Towards a 50% reduction

J Gerrard - 2024 - auckland.figshare.com
Towards a 50% reduction Page 1 Food loss and waste in Aotearoa New Zealand Towards a
50% reduction The final report in the food waste series from the Prime Minister’s Chief Science …

Restaurant Demand Forecasting Using Dynamic Neural Network for Business Networking Application

F Abubaker - 2024 21st International Multi-Conference on …, 2024 - ieeexplore.ieee.org
Restaurant is a business establishment that serves public customers with food and drinks.
Despite the variety of types of restaurants in the world in general and the Middle East in …

[PDF][PDF] Food Waste Series-Report 4: Preventing food loss and waste in Aotearoa New Zealand: Evidence for action across the supply chain

J Gerrard - 2024 - auckland.figshare.com
Preventing food loss and waste in Aotearoa New Zealand Page 1 Preventing food loss and
waste in Aotearoa New Zealand Evidence for action across the supply chain The fourth report …