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

Logistic Model Trees

Landwehr, N., Hall, M., & Frank, E. (2005) · Machine Learning · doi:10.1007/s10994-005-0466-3 · Cited by 1,218

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

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

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

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

Multi-target regression with rule ensembles

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

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

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

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 29

Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks

Sivaraman, V., Vaishampayan, A., Li, X., Buck, B. R., Ma, Z., Boyce, R. D., & Perer, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713664 · Cited by 2

Food Demand Forecasting using Machine Learning Approaches

Kumar, M., Pilania, U., & Dagar, D. (2025) · International Conference on Soft Computing for Security Applications (ICSCSA) · doi:10.1109/icscsa66339.2025.11171212 · Cited by 1

Predicting Consumer Purchasing Decision in The Online Food Delivery IndustryPreprint

Madani, B., & Alshraideh, H. A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.00502 · Cited by 1

Advances in Machine Learning

(2021) · doi:10.5121/csit.2021.1115 · Cited by 1

Demand forecasting for a food condiment manufacturer in Thailand

Sirimak, W. (2020) · doi:10.58837/chula.the.2020.259 · Cited by 1

A dual quantitative-qualitative sales quotas model

Adžić, S., Milunović, M., & Tot, T. S. (2020) · Marketing · doi:10.5937/markt2003179a

Case Study in Logistics: Purchase Planning of Goods for Large Retail Chains, Taking into Account Sale Marketing Campaigns

Straka, M., Kačmáry, P., Rosová, A., Végsöová, O., & Šofranko, M. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-67241-6_23

Propuesta de implementación de un sistema de gestión customer centric basado en inteligencia artificial

Gutiérrez, S. C. C., Philipps, L. C. B., & Barragán, J. A. M. (2022) · Ingeniería Industrial · doi:10.26439/ing.ind2022.n.5800

Multivariate Time Series Analysis for Predicting Number of Disease Cases

Tammineni, R., & Sirisha, G. N. V. G. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-8550-7_42

Augmented Business Modeling and Planning as a Prerequisite for Valuation

Visconti, R. M. (2022) · Springer eBooks · doi:10.1007/978-3-030-97117-5_5

Influência de fatores externos na projeção de demanda de venda de produto alimentício, biscoito moldado de chocolate

Spolidoro, A. J. (2020) · doi:10.47749/t/unicamp.2020.1148972

Machine Learning Sales Forecasting for Food Supplements in Pandemic Era

Taşdemir, F. A. (2022) · Journal of risk analysis and crisis response · doi:10.54560/jracr.v12i2.326

Seasonal Sale Prediction In Python

Piyush, P., Singla, S., Sharma, I., & Wassay, M. A. (2022) · International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) · doi:10.1109/iccmso58359.2022.00047

Dijital Pazarlamanın Evrimi

SAMSA, Ç. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1335

Dijital Pazarlamada Tüketici Algısı

Ağbulut, B. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1339

Kişisel Satışın Dijitalleşme Süreci: Hızlandırıcı ve Engelleyici Faktörler

Özkan, E. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1351

Dijital Pazarlama Uygulamalarında e-Ticaretin Yeri

Bilici, A. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1352

Dijital Çağda Uluslararası Pazarlama

Erdoğan, U. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub254.c1354

Intelligente Produktionsplanung in der Lebensmittelbranche

Knitter, L., Tschirner, J., Jagusch, K., Kummer, H., & Sender, J. (2023) · Zeitschrift für wirtschaftlichen Fabrikbetrieb · doi:10.1515/zwf-2023-1168

Improving Text Generation for Product Description via Human BehaviourPreprint

Guo, T. (2024) · doi:10.36227/techrxiv.170846525.55626336/v2

Exploring the Impact of Digital Sales Playbooks on Sales Performance: A Comprehensive Analysis

Yun, L. (2024) · doi:10.12794/metadc2356144

A Comprehensive Study on Different Machine Learning Approaches for Retail Sales Forecasting: Methods, Procedures, Obstacles, and Prospects

Kotak, R. J., & Rakholia, R. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-6318-4_41

Sales Prediction for Imported Fruits using a Linear Regression Model

Bhumireddy, J., & Bose, A. (2024) · International Conference on Computational Intelligence and Communication Networks (CICN) · doi:10.1109/cicn63059.2024.10847372

An interactive visualization and data analysis of supermarket store

Likita, H. L., Hiresh, Y., Anjali, H., Swagota, B., & Choubey, S. (2024) · i-manager's Journal on Data Science & Big Data Analytics (JDS). · doi:10.26634/jds.2.2.20814

Efficient grocery rate prediction by using novel convolutional neural network algorithm and compared over support vector machine algorithm

Kumar, P., & Ramamoorthy, M. (2025) · AIP conference proceedings · doi:10.1063/5.0259550

AI-Based Fault Detection and Diagnosis Techniques in Control System Engineering

Sriramalakshmi, P., & Kumar, S. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7812-0.ch004

Comparative analysis of novel convolutional neural network algorithm and compared with decision tree algorithm in predicting grocery rate

Kumar, P., & Ramamoorthy, M. (2025) · AIP conference proceedings · doi:10.1063/5.0266218

AI and Machine Learning Applications

Mydeen, V. J. P., Sachithanandhan, V. K., Nambi, V. E., Loganathan, M., Shanmugasundaram, S., & Chandrasekar, V. (2025) · Springer eBooks · doi:10.1007/978-3-031-95048-3_17

Assessing the Impact on Sales of Competing Nearby Supermarkets

Ibáñez, D. G., & Puig, X. (2025) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.70048

A System Prototype for Food Sales Forecasting and Optimization to Reduce Food Waste for Short-Shelf-Life Products

Grasmann, L., & Musliu, N. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-11108-1_2

Restaurant daily demand prediction: modeling competition and agglomeration effects using spatial-temporal dual graph attention networks

Liu, D., Zhao, W., & Luo, L. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-01-2024-0028

Smart Food Processing: An Overview of Artificial Intelligence Applications

Jadhav, H. A., Chandrasekar, V., & Nambi, V. E. (2026) · AI Computer Science and Robotics Technology · doi:10.5772/acrt.20250231

Mapping machine learning applications across the food value chain through a systematic literature review and bibliometric analysis

Pandey, V., Gupta, S., Joshi, D., & Jagtap, S. (2026) · Discover Food · doi:10.1007/s44187-026-01274-4

Food Sales Forecasting Using Machine Learning Techniques: A Survey

Rodrigues, A. (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.38069 · Cited by 5

Food sales prediction model using machine learning techniques

Merdas, H. M., & Mousa, A. H. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v13i6.pp6578-6585 · Cited by 11

Predicting sales in a foodstore department using machine learning

Siwerz, R., & Dahlén, C. (2017) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 1

‘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

SALES PREDICTION USING MACHINE LEARNING

(2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets39421 · Cited by 7