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ArticleAn approach for sales forecasting

Rendra Gustriansyah2022

Article2022

An approach for sales forecasting

Rendra Gustriansyah · Ermatita Ermatita · Dian Palupi Rini

29 citations·0/0 files stored·Expert Systems with Applications

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Forecasting Techniques and Applications Data Mining and Machine Learning Applications Customer churn and segmentation

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References

2019Consistency issues in the best worst method: Measurements and thresholds 2019Machine-Learning Models for Sales Time Series Forecasting 2022Time-series forecasting of seasonal items sales using machine learning – A comparative analysis 2019RFM model for customer purchase behavior using K-Means algorithm 2019An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain 2021On the platform but will they buy? Predicting customers' purchase behavior using deep learning 2021RNN / LSTM with modified Adam optimizer in deep learning approach for automobile spare parts demand forecasting 2020Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques

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Details

Year2022

Typearticle

Published2022-07-08

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations29

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.eswa.2022.118043

openalex_workW4284977272

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