A survey of machine learning techniques for food sales prediction

A few useful things to know about machine learning

Domingos, P. (2012) · Communications of the ACM · doi:10.1145/2347736.2347755 · Cited by 3,326 · see citing works

Logistic Model Trees

Landwehr, N., Hall, M., & Frank, E. (2005) · Machine Learning · doi:10.1007/s10994-005-0466-3 · Cited by 1,214 · see citing works

A Simple Approach to Ordinal Classification

Frank, E., & Hall, M. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44795-4_13 · Cited by 606 · see citing works

Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing

Doganis, P., Alexandridis, A., Patrinos, P., & Sarimveis, H. (2005) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2005.03.056 · Cited by 196 · see citing works

Dynamic integration of classifiers for handling concept drift

Tsymbal, A., Pechenizkiy, M., Cunningham, P., & Puuronen, S. J. (2007) · Information Fusion · doi:10.1016/j.inffus.2006.11.002 · Cited by 195 · see citing works

Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty

van der Vorst, J. G. A. J., Beulens, A. J. M., de Wit, W., & van Beek, P. (1998) · International Transactions in Operational Research · doi:10.1111/j.1475-3995.1998.tb00131.x · Cited by 192 · see citing works

Multi-target regression with rule ensembles

Aho, T., Ženko, B., Džeroski, S., & Elomaa, T. (2012) · Journal of Machine Learning Research · Cited by 92 · see citing works

The study of a forecasting sales model for fresh food

Chen, C.-Y., Lee, W., Kuo, H., Chen, C., & Chen, K.-H. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.04.072 · Cited by 88 · see citing works

Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?

Žliobaitė, I., Bakker, J., & Pechenizkiy, M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.07.078 · Cited by 40 · see citing works

Food Sales Prediction with Meteorological Data — A Case Study of a Japanese Chain Supermarket

Liu, X., & Ichise, R. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61845-6_10 · Cited by 27 · see citing works

Food Sales Prediction: "If Only It Knew What We Know"

Meulstee, P., & Pechenizkiy, M. (2008) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2008.128 · Cited by 23 · see citing works

Towards Context Aware Food Sales Prediction

Žliobaite, I., Bakker, J., & Pechenizkiy, M. (2009) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2009.60 · Cited by 18 · see citing works

Food Wholesales Prediction: What Is Your Baseline?

Bakker, J., & Pechenizkiy, M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04125-9_52 · Cited by 7 · see citing works

The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

Hassoun, A., Aït‐Kaddour, A., Abu-Mahfouz, A. M. I., Rathod, N. B., Bader, F., Barba, F. J., Biancolillo, A., Cropotova, J., Galanakis, C. M., ­Jambrak, A. ­., et al. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2034735 · Cited by 453 · see citing works

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works

Application of Artificial Intelligence in Food Industry—a Guideline

Mavani, N. R., Ali, J. M., Othman, S., Hussain, M. A., Hashim, H., & Rahman, N. A. (2021) · Food Engineering Reviews · doi:10.1007/s12393-021-09290-z · Cited by 344 · see citing works

A survey on hyperparameters optimization algorithms of forecasting models in smart grid

Khalid, R., & Javaid, N. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102275 · Cited by 194 · see citing works

The Role of Machine Learning in Tribology: A Systematic Review

Paturi, U. M. R., Palakurthy, S. T., & Reddy, N. S. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09841-5 · Cited by 143 · see citing works

Automated Machine Learning in Practice: State of the Art and Recent Results

Tuggener, L., Amirian, M., Rombach, K., Lörwald, S., Varlet, A., Westermann, C. E., & Stadelmann, T. (2019) · IEEE Swiss Conference on Data Science (SDS) · doi:10.1109/sds.2019.00-11 · Cited by 106 · see citing works

A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach

Mitra, A., Jain, A., Kishore, A., & Kumar, P. (2022) · Operations Research Forum · doi:10.1007/s43069-022-00166-4 · Cited by 104 · see citing works

Machine Learning in Predicting Demand for Fast-Moving Consumer Goods: An Exploratory Research

TARALLO, E. A., Akabane, G. K., SHIMABUKURO, C. I., Mello, J., & Amancio, D. (2019) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2019.11.203 · Cited by 70 · see citing works

A comprehensive review on artificial intelligence assisted technologies in food industry

Thapa, A., Nishad, S., Biswas, D., & Roy, S. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.103231 · Cited by 69 · see citing works

Artificial intelligence in the food industry: innovations and applications

Yang, H., Jiao, W., Zouyi, L., Diao, H., & Xia, S. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00296-8 · Cited by 65 · see citing works

Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction

Chen, G., Huang, L., Xiao, S., Zhang, C., & Zhao, H. (2023) · Information Systems Research · doi:10.1287/isre.2021.0292 · Cited by 61 · see citing works

The present and future of the B2B sales profession

Elhajjar, S., Yacoub, L., & Ouaida, F. (2023) · Journal of Personal Selling & Sales Management · doi:10.1080/08853134.2023.2183214 · Cited by 38 · see citing works

From farm to market: Research progress and application prospects of artificial intelligence in the frozen fruits and vegetables supply chain

Zhang, L., Zhang, M., MUJUMDAR, A. S., & Chen, Y. (2024) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2024.104730 · Cited by 43 · see citing works

Brent Oil Price Prediction Using Bi-LSTM Network

Vo, A. H., Nguyen, T., & Le, T. (2020) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2020.013189 · Cited by 42 · see citing works

Predictive modeling of abrasive wear in in-situ TiC reinforced ZA37 alloy: A machine learning approach

Sheikh, K. A., & Khan, M. M. (2024) · Tribology International · doi:10.1016/j.triboint.2024.110291 · Cited by 36 · see citing works

Autonomic performance prediction framework for data warehouse queries using lazy learning approach

Raza, B., Aslam, A., Sher, A., Malik, A. K., & Faheem, M. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106216 · Cited by 36 · see citing works

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective

Angarita-Zapata, J. S., Alonso‐Vicario, A., Masegosa, A. D., & Legarda, J. (2021) · Sensors · doi:10.3390/s21206910 · Cited by 35 · see citing works

Artificial Intelligence and Machine Learning in Food Industries: A Study

(2021) · Journal of Food Chemistry and Nanotechnology · doi:10.17756/jfcn.2021-114 · Cited by 33 · see citing works

Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network

Lutosławski, K., Hernes, M., Radomska, J., Hajdas, M., Walaszczyk, E., & Kozina, A. (2021) · IEEE Access · doi:10.1109/access.2021.3123255 · Cited by 32 · see citing works

Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM

Chen, Y., Xie, X. M., Pei, Z., Yi, W., Wang, C., Zhang, W., & Ji, Z. (2024) · Applied Sciences · doi:10.3390/app14020866 · Cited by 28 · see citing works

A comparative online sales forecasting analysis: Data mining techniques

Zhang, B., Tseng, M., Qi, L., Guo, Y., & Wang, C.-H. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108935 · Cited by 27 · see citing works

Lifecycle forecast for consumer technology products with limited sales data

Li, X., Yin, Y., Manrique, D. V., & Bäck, T. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108206 · Cited by 24 · see citing works

Demand Forecasting Models for Food Industry by Utilizing Machine Learning Approaches

Nassibi, N., Fasihuddin, H., & Hsairi, L. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01403101 · Cited by 24 · see citing works

AutoML with Bayesian Optimizations for Big Data Management

Karras, A., Karras, C., Schizas, N., Avlonitis, M., & Sioutas, S. (2023) · Information · doi:10.3390/info14040223 · Cited by 23 · see citing works

Research on food safety sampling inspection system based on deep learning

Chen, T.-C., & Yu, S. (2021) · Food Science and Technology · doi:10.1590/fst.29121 · Cited by 20 · see citing works

Intricate Supply Chain Demand Forecasting Based on Graph Convolution Network

Niu, T., Zhang, H., Yan, X., & Miao, Q. (2024) · Sustainability · doi:10.3390/su16219608 · Cited by 19 · see citing works

Avoiding food waste from restaurant tickets: a big data management tool

Gómez-Talal, I., Serrano, L. G., Rojo‐Álvarez, J. L., & Ballestero, P. T. (2024) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-01-2023-0012 · Cited by 17 · see citing works

Introduction of AI-based sales forecasting: how to drive digital transformation in food and beverage outlets

Groene, N., & Zakharov, S. (2024) · Discover Artificial Intelligence · doi:10.1007/s44163-023-00097-x · Cited by 16 · see citing works

A model-agnostic and data-independent tabu search algorithm to generate counterfactuals for tabular, image, and text data

Oliveira, R., Sörensen, K., & Martens, D. (2023) · European Journal of Operational Research · doi:10.1016/j.ejor.2023.08.031 · Cited by 15 · see citing works

Artificial Intelligence as Catalyst for the Tourism Sector: A Literature Review

Herrera, A., Arroyo, Á., Jiménez, A., & Herrero, Á. (2023) · JUCS - Journal of Universal Computer Science · doi:10.3897/jucs.101550 · Cited by 17 · see citing works

Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food

Marín-Méndez, J. J., Luri-Esplandiú, P., Alonso-Santamaría, M., Remírez-Moreno, B., Urtasun, L., Echávarri-Dublhán, J., Almiron‐Roig, E., & Sáiz-Abajo, M.-J. (2024) · Current Research in Food Science · doi:10.1016/j.crfs.2024.100799 · Cited by 15 · see citing works

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

Acı, M., & Yergök, D. (2023) · Tehnicki vjesnik - Technical Gazette · doi:10.17559/tv-20230117000232 · Cited by 12 · see citing works

Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model

Qureshi, N. U. H., Javed, S., Javed, K., Naqvi, S. M. R., Raza, A., & Saeed, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3472499 · Cited by 12 · see citing works

Constructing a Sustainable and Dynamic Promotion Model for Fresh Foods Based on a Digital Transformation Framework

Ou, T.-Y., Lin, G., Liu, C.-Y., & Tsai, W.-L. (2021) · Sustainability · doi:10.3390/su131910687 · Cited by 12 · see citing works

Sales Prediction in the Retail Industry Using Machine Learning: A Case Study of BigMart

Upadhyay, H., Shekhar, S., Vidyarthi, A., Prakash, R., & Gowri, R. (2023) · International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM) · doi:10.1109/elexcom58812.2023.10370313 · Cited by 11 · see citing works

Enhanced Demand Forecasting System For Food and Raw Materials Using Ensemble Learning

Harshini, K., Madhira, P. K., Chaitra, S. K., & Reddy, G. P. (2021) · International Conference on Artificial Intelligence and Machine Vision (AIMV) · doi:10.1109/aimv53313.2021.9671005 · Cited by 11 · see citing works

Restaurant Sales Prediction Using Machine Learning

Sakib, S. M. N. (2023) · Advances in business information systems and analytics book series · doi:10.4018/978-1-6684-7105-0.ch011 · Cited by 11 · see citing works

Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning

Kaisar, S., Rashid, M. M., Chowdhury, A., Shafin, S. S., Kamruzzaman, J., & Diro, A. A. (2024) · Big Data Mining and Analytics · doi:10.26599/bdma.2023.9020041 · Cited by 10 · see citing works

A switching based forecasting approach for forecasting sales data in supply chains

Ahmed, S., Chakrabortty, R. K., Essam, D., & Ding, W. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112419 · Cited by 10 · see citing works

Analysis of Wind Speed Prediction using Artificial Neural Network and Multiple Linear Regression Model using Tinyml on Esp32

Hong, C. K., Abu, M., Shapiai, M. I., Haniff, M. F., Mohamad, R. S., & Abu, A. (2023) · Journal of Advanced Research in Fluid Mechanics and Thermal Sciences · doi:10.37934/arfmts.107.1.2944 · Cited by 10 · see citing works

Grid-based market sales forecasting for retail businesses using automated machine learning and geospatial intelligence

Hu, H., Tan, D., Thaichon, P., Wang, B., & Zhu, Z. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127869 · Cited by 9 · see citing works

Machine learning methods based on probabilistic decision tree under the multi-valued preference environment

Zhou, W. H., Lu, Y., Liu, M., & Zhang, K. (2021) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2021.1875866 · Cited by 9 · see citing works

CNN-GRU Based Deep Learning Model for Demand Forecast in Retail Industry

Honjo, K., Zhou, X., & Shimizu, S. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892599 · Cited by 9 · see citing works

Artificial Intelligence and Deep Learning-Based System for Agri-Food Quality and Safety Detection

Shah, H., R, H. K. G., & Akgül, A. (2023) · Wasit Journal of Computer and Mathematics Science · doi:10.31185/wjcms.145 · Cited by 9 · see citing works

Employing Constrained Neural Networks for Forecasting New Product’s Sales Increase

Livieris, I. E., Kiriakidou, N., Kanavos, A., Vonitsanos, G., & Tampakas, V. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-19909-8_14 · Cited by 8 · see citing works

Quotidian Sales Forecasting using Machine Learning

Spuritha, M., Kashyap, C. S., Nambiar, T. R., Kiran, D. R., Srinivasarao, N., & Reddy, G. P. (2021) · International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · doi:10.1109/icses52305.2021.9633975 · Cited by 8 · see citing works

A transformer-based framework for enterprise sales forecasting

Sun, Y., & Li, T. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2503 · Cited by 7 · see citing works

Livestream sales prediction based on an interpretable deep-learning model

Wang, L., & Zhang, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-71379-2 · Cited by 9 · see citing works

ICT applications for the food industry

Raja, V., Krishnamoorthy, S., Moses, J. A., & Anandharamakrishnan, C. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91001-9.00001-3 · Cited by 7 · see citing works

‘Why are the Sales Forecasts so low?’ Socio-Technical Challenges of Using Machine Learning for Forecasting Sales in a Bakery

Fries, M., & Ludwig, T. G. (2022) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-022-09458-z · Cited by 7 · see citing works

Supervised Machine Learning for Predicting SMME Sales: An Evaluation of Three Algorithms

Zhou, H., & Gumbo, V. (2021) · The African Journal of Information and Communication (AJIC) · doi:10.23962/10539/31371 · Cited by 7 · see citing works

Detection of price manipulation fraud through rational choice theory: evidence for the retail industry in Taiwan

Kuo, C., & Tsang, S. (2022) · Security Journal · doi:10.1057/s41284-022-00360-3 · Cited by 6 · see citing works

Demand Forecasting Using Machine Learning and Deep Learning Approaches in the Retail Industry: A Comparative Study

Husna, A. U., Amin, S. H., & Ghasempoor, A. (2023) · Lecture notes in management and industrial engineering · doi:10.1007/978-3-031-25847-3_24 · Cited by 6 · see citing works

Similarity-based sales forecasting using improved ConvLSTM and prophet

Wan, Y., Chen, Y., Yan, C., & Zhang, B. (2021) · Intelligent Data Analysis · doi:10.3233/ida-205103 · Cited by 6 · see citing works

Prediction of Food Preparation Time for Smart City

Hoi, C. S. H., Leung, C. K.-S., & Souza, J. (2020) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc-smartcity-dss50907.2020.00156 · Cited by 6 · see citing works

Application of Artificial Intelligence to Enhance Business Intelligence for Increasing Customer Involvement in FMCG Industry

Venkateswaran, P. S., Manimaran, S., Sriramkumar, M., Reddi, L. T., Rangineni, S., & Marupaka, D. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-5951-8.ch003 · Cited by 5 · see citing works

Variational Autoencoder-Based Framework for Retail Sales Prediction

Li, F., Wang, L., & Jin, B. (2024) · IEEE Access · doi:10.1109/access.2024.3502657 · Cited by 5 · see citing works

AliAmvra—Enhancing Customer Experience through the Application of Machine Learning Techniques for Survey Data Assessment and Analysis

Mpouziotas, D., Besharat, J., Tsoulos, I. G., & Stylios, C. D. (2024) · Information · doi:10.3390/info15020083 · Cited by 5 · see citing works

Assessing Consumer Implications of Reduced Salmon Supply and Environmental Impact in North America

Charlebois, S., Gone, K. P., Saxena, S., Colombo, S. M., & Sarker, B. (2024) · Sustainability · doi:10.3390/su16093629 · Cited by 5 · see citing works

Globalizing Food Items Based on Ingredient Consumption

Matla, Y., Yannamaneni, R. R., & Pappas, G. (2024) · Sustainability · doi:10.3390/su16177524 · Cited by 5 · see citing works

Advancements in farming and related activities with the help of artificial intelligence: a review

Sidhu, K. S., Gill, A. S., Arora, A., Singh, R., Singh, G., Verma, M., & Kaur, B. (2021) · Environment Conservation Journal · doi:10.36953/ecj.2021.se.2206 · Cited by 5 · see citing works

Predicting Consumer Purchasing Decisions in the Online Food Delivery Industry

Madani, B., & Alshraideh, H. A. (2021) · doi:10.5121/csit.2021.111510 · Cited by 5 · see citing works

Retail sales forecasting for a Brazilian supermarket chain: an empirical assessment

de Almeida, F. M., Martins, A. D. M., Nunes, M. A., & Bezerra, L. C. T. (2022) · IEEE Conference on Business Informatics · doi:10.1109/cbi54897.2022.00014 · Cited by 5 · see citing works

Data-driven innovation and 4th industrial revolution concepts for the development and improvement of fermented foods

Hlangwani, E., & Doorsamy, W. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-98341-9.00008-6 · Cited by 4 · see citing works

Performance Analysis and Evaluation of Regression Models for Sales Forecasting

Baby, A., & Newniz, A. K. (2023) · International Conference on Advancement in Computation & Computer Technologies (InCACCT) · doi:10.1109/incacct57535.2023.10141828 · Cited by 4 · see citing works

Artificial Intelligence and Deep Learning-Based Agri and Food Quality and Safety Detection System

Shukla, A., Mandal, D., Meena, R. S., & Vijayarajan, V. (2023) · Advances in intelligent systems and computing · doi:10.1007/978-981-99-1588-0_8 · Cited by 4 · see citing works

Sales Forecasting Based on Time Series Analysis

Selva Kumar, S., Renugadevi, G., Vinishah, N., & Yashwanth, R. (2024) · doi:10.1109/icstem61137.2024.10560659 · Cited by 4 · see citing works

Machine Learning for Predictive Telemarketing: Boosting Campaign Effectiveness in Banking

Bogireddy, S. R., & Murari, H. (2024) · International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) · doi:10.1109/icpects62210.2024.10780120 · Cited by 4 · see citing works

Impact of Artificial Intelligence and Machine Learning in the Food Industry

Sharma, A., Mittal, K., Kumar, S., Sharma, U., & Upadhyay, P. (2022) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-6684-5141-0.ch011 · Cited by 4 · see citing works

Price Prediction Model for Restaurants In Istanbul By Using Machine Learning Algorithms

Şahinbaş, K. (2022) · Ekonomi İşletme ve Maliye Araştırmaları Dergisi · doi:10.38009/ekimad.1148216 · Cited by 4 · see citing works

AI Based Periodic Forecasting Rate Prediction with Secured Optimized Cryptographic Method Sales Forecasting in Retail Business Sector

Ronaldo, R., Arora, T. K., Agarwal, S., Lobanova, A., Vladimirovna, V. T., & Yadav, A. S. (2022) · International Interdisciplinary Humanitarian Conference for Sustainability (IIHC) · doi:10.1109/iihc55949.2022.10059792 · Cited by 4 · see citing works

Predicting sales using Machine Learning Techniques

Boyapati, S. N., & Mummidi, R. (2020) · Diva portal (Dalarna University Library) · Cited by 4 · see citing works

A novel sales forecast framework based on separate feature extraction and reconciliation under hierarchical constraint

Yan, X., Zhang, H., & Miao, Q. (2025) · Computers & Industrial Engineering · doi:10.1016/j.cie.2025.110875 · Cited by 3 · see citing works

Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise

Bauer, M., Kiefer, D., & Grimm, F. (2021) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-3264-8_16 · Cited by 3 · see citing works

Applying Predictive Analytics Algorithms to Support Sales Volume Forecasting

Mayer, J. H., Meinecke, M., Quick, R., Kusterer, F., & Kessler, P. (2023) · Lecture notes in business information processing · doi:10.1007/978-3-031-30694-5_6 · Cited by 3 · see citing works

Sales Prediction Based on Data Mining Techniques

Almufadi, N., Alblihed, N., Alhabeeb, S., Alhumud, S., & Selmi, A. (2023) · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · doi:10.1109/esmarta59349.2023.10293312 · Cited by 3 · see citing works

Application of Explainable Artificial Intelligence technique to model the predictors of South African SMMEs resilient performance during the Covid-19 pandemic

Zhou, H., Chamba, L. T., & Zondo, R. W. D. (2024) · International Journal of Research in Business and Social Science (2147-4478) · doi:10.20525/ijrbs.v13i1.3072 · Cited by 3 · see citing works

Agricultural Product Sales Prediction of ICM Neural Network Improvement by Sparse Autoencoder

Li, Y. (2022) · Scientific Programming · doi:10.1155/2022/4712351 · Cited by 3 · see citing works

Data-related risks for the use of machine learning in retail customer demand forecasting

Pietersen, L.-A., & Rudman, R. J. (2025) · South African Journal of Business Management · doi:10.4102/sajbm.v56i1.4766 · Cited by 2 · see citing works

Strengthening undergraduate food science programs: Comparing industry relevance of the Institute of Food Technologists' Essential Learning Outcomes with graduate proficiency levels

Hingston, P. A., & Bracewell, D. D. (2021) · Journal of Food Science Education · doi:10.1111/1541-4329.12227 · Cited by 2 · see citing works

Lean Service management model to reduce canceled orders in a fast-food company

Avalos-Maldonado, J., Mezarina-Azaña, E., & Quiroz-Flores, J. C. (2022) · LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD) · doi:10.18687/leird2022.1.1.83 · Cited by 2 · see citing works

Dijital Pazarlamada X ve Y Kuşağının Rolü

Çakıroğlu, Z., FETTAHLIOĞLU, H. S., & Korlaelçi, F. Z. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1338 · Cited by 2 · see citing works

The Valuation of Artificial Intelligence

Visconti, R. M. (2024) · Springer eBooks · doi:10.1007/978-3-031-53622-9_7 · Cited by 3 · see citing works

Sales Prediction Based on Machine Learning Approach: Support Vector Machine, Xgboost and Random Forest

Jin, Y. (2024) · Highlights in Science Engineering and Technology · doi:10.54097/6dxq4p06 · Cited by 2 · see citing works

A Comparative Study of Sales Prediction Using Machine Learning Models: Integration of PySpark and Power BI

Sharif, M. S., Tamang, M. T., Nepal, A., & Elmedany, W. M. (2024) · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · doi:10.1109/3ict64318.2024.10824620 · Cited by 2 · see citing works

Comparitive Analysis of Future Sales Prediction Using Artificial Intelligence

Johnson, M., Prakash, P. A., Saihareesh, V., Rajiv, A., Ananthi, S., & Haldorai, A. (2024) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces63552.2024.10859999 · Cited by 2 · see citing works

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