Prediction of sales is an important field in the food industry and due to new technologies it has recently gained alot of attention in order to improve business operations and profitability. However, historicall
Machine learningIn 2015, U.S. consumers returned goods worth $261 billion and the return rates for online sales sometimes exceeded 30%. Manufacturers and retailers have an interest in predicting return volume to address operational challenges in managing product returns. In this paper, we develop ...
As we observe, using AutoML, it is very easy to take a prepared dataset and apply the algorithm of your choice to create and deploy a machine learning model that predicts the stock price, without writing a single line of code. In part 2, we will w...
A Project about Predicting the Number of Fake Reviews with Grades of an e-commerce website called Amazon using Machine Learning Models like Bert & XLnet. - ImmanuelSandeep/Transofrmer-Based-Fake-Review-Detection
General structure of BChemRF-CPPred framework with ANN, GPC and SVM machine learning algorithms. Full size image The MLs’ hyper-parameters were tuned using Grid Search, a method applied for optimization of parameters using cross-validation over exhaustive search in a parameter grid. This method ...
In addition, using Bangladesh for marketing analytics gives managers new chances, such as precise customer and market targeting and a better likelihood of converting sales through digital marketing strategies (Stylos, Zwiegelaar, and Buhalis 2021). Especially in time-sensitive, volatile and dynamic ...
1. Sales Volume Prediction 2. Quotation conversion rates 3. Predicted delivery delay With this blog, I would like to cover the business scenario “Quotation conversion rates” empowered with predictive modelling (using machine learning) and do a detailed walkthrough of its capabilities and how enter...
Moreover, complaints may trigger bad publicity, customer churn, and lost sales. Ideally, suppliers would know whether a change in order fulfilment would likely cause a complaint. We apply Machine Learning (ML) models to predict complaints for a leading global semiconductor manufacturer when order ...
The study aims to develop and validate a flexible leadership prediction (FLP) model using supervised learning techniques. The supervised learning techniques including four machine learning (ML) (Naïve Bayes, decision tree, logistic regression, and multilayer perceptron) and four ensemble learning (EL...
Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Artificial Intelligence 1 Introduction The growth of the internet and the increasing use of mobile devices have led to a surge in the popularity of live streaming ...