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 …

[HTML][HTML] Predicting Food Consumption to Reduce the Risk of Food Insecurity in Kazakhstan

A Duisenbekova, M Kulisz, A Danilowska, A Gola… - Economies, 2023 - mdpi.com
In modern times, the risk of food insecurity is a concern for policymakers at the global and
national levels, as the issue of hunger and malnutrition still exists. Food security is …

[HTML][HTML] A forecast of Cava wine sales applied to vine planting authorizations

M Teruel, V Soldevila-Lafon, M Martin-Bofarull - British Food Journal, 2023 - emerald.com
Purpose This paper aims to establish the determinants of production in the Spanish
Designation of Origin (DO) area for Cava wine and forecasts sales to establish vineyard …

Demand Forecasting for Food Production Using Machine Learning Algorithms: A Case Study of University Refectory

M Aci, D Yergök - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak Accurate food demand forecasting is one of the critical aspects of successfully
managing restaurants, cafeterias, canteens, and refectories. This paper aims to develop …

Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach

Y Kim, K Park - IEEE Access, 2023 - ieeexplore.ieee.org
The paint industry comprises an elaborate supply chain involving various activities such as
raw material procurement, manufacturing, and distribution. In addition, the accuracy of …

Improving demand forecasting by implementing machine learning in poultry production company

JA Garcia Arismendiz, SL Huertas Zuñiga - 2024 - repositorio.ulima.edu.pe
Debido al alto porcentaje de error presente en el pronóstico de la demanda de una
empresa de producción avícola; lo que desencadena una pérdida monetaria mensual …

Heterogeneity in feature importance and prediction performance for sales at the market and store levels: the case of branded yogurt products in Quebec

C McRae, JY Nie, L Dubé - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
The supply and demand of fresh food products must be tightly integrated to mitigate food
waste, economic losses, and expansion of the environmental footprint. In this study, we use …

A Stack-based Ensemble Model with Explainability for Food Demand Forecasting

S Chatterjee - … Approaches in Technology and Management for …, 2022 - ieeexplore.ieee.org
Ahstract-The demand forecasting method involves estimating the number of products that
customers will buy using previous data. Many industries, including the food sector and retail …

A Strategic Analysis of Food Demand Using Machine Learning and Explainable AI

M Adith, P Katti, D Gupta - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
The growing importance of meal demand forecasting is increasingly recognized as vital for
business growth, aiding in efficient procurement planning and minimizing waste. This paper …

A Comparison of Data Mining Approaches for Forecasting Sales of FMCG Food Products

M Doshi - 2023 14th International Conference on Computing …, 2023 - ieeexplore.ieee.org
Sale forecasting is considered a key factor for balancing risk of over-stocking and out-of-
stock. Its performance is largely influenced by the input it provides to supply chain activities …