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 …

Demand forecasting using artificial neural networks—a case study of American retail corporation

A Chawla, A Singh, A Lamba, N Gangwani… - Applications of Artificial …, 2019 - Springer
Artificial neural networks (ANNs) provide a way to make intelligent decisions while
leveraging on today's processing power. In this paper, an attempt has been made to use …

[PDF][PDF] A PREDICTOR BASED ON ARTIFICIAL NEURAL NETWORKS

OA Inostroza - Neuron - inglomayor.cl
Forecast methods are widely used in many industries to predict consumables demand, as
well as products demand with objectives that range from lowering cost to increasing profit …

Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data

I Slimani, IE Farissi, S Achchab - International Journal of …, 2017 - inderscienceonline.com
The purpose of any effective supply chain is to find balance between supply and demand by
coordinating all internal and external processes in order to ensure delivery of the right …

Demand Forecasting for Drinking Water Products to Reduce Gap between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT …

RC Syafitri, AY Ridwan, N Novitasari - Proceedings of the 2020 …, 2020 - dl.acm.org
Supply Chain has components such as vendors, manufacturers, factories, warehouses
retailers, customers, etc. Every relationship between components must have good …

A neural approach to product demand forecasting

N Mahbub, SK Paul, A Azeem - International Journal of …, 2013 - inderscienceonline.com
This paper develops an artificial neural network (ANN) model to forecast the optimum
demand as a function of time of the year, festival period, promotional programmes, holidays …

[PDF][PDF] Decision support system for a restaurant to forecast sales using machine learning techniques

VB Renukaprasad - 2020 - esource.dbs.ie
Restaurant being a customer centric business faces a lot of challenge in day-to-day
operation between inventory management, staffing, and customer handling. Any …

[PDF][PDF] Artificial Neural network for effective demand forecasting of Product

K Satashwa, M Nagre, M Ajay - Int. J. Advanc. Engineer. Management, 2022 - ijaem.net
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 …

An Efficient Novel Approach on Machine Learning Paradigmsfor Food Delivery Company through Demand Forecastıng in societal community

S Yerragudipadu, VR Gurram… - E3S Web of …, 2023 - e3s-conferences.org
A food delivery business must be able to accurately forecast demand on a daily and weekly
basis since it deals with a lot of perishable raw components. A warehouse that keeps too …

Daily food demand forecast with artificial neural networks: Kırıkkale University case

Z Cetinkaya, E Erdal - 2019 4th international conference on …, 2019 - ieeexplore.ieee.org
In food service organizations, demand estimation is very important in planning of production.
When an accurate demand forecast is made, the resources are used more efficiently, and …