Liu et al. established crown model based on deep learning algorithm, on the basis of fully considering the characteristics of agricultural e-commerce sales data ...
Different machine learning and data mining techniques are needed to know the users' preferences and know what would be best for business. ... In the research ...
Nov 28, 2021 · However, just setting up an online store and starting selling might not work. Different machine learning and data mining techniques are ...
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May 29, 2024 · Prediction of merchandise sales on E-commerce platforms based on data mining and deep learning. Scientific Programming, 2021, 1-9.Google ...
This study proposes a novel online sales forecast model of clothing products based on a data mining technique to realize the accurate prediction of multiscene ...
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In this paper we applied twinning algorithm for product that are sold via e-commerce platform. To establish relatively homogenous product groups that were ...
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The purpose of this study was to build machine learning algorithms which are able to forecast the sales of the e-commerce platform.
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Jun 10, 2024 · This study suggests combining machine learning and the Internet of Things to improve supply chain performance in CBEC. The approach consists of ...
To achieve that, we build a neural network architecture to predict product sales from text, image and other product listing features that retailers can control.
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Jul 14, 2022 · The experiment shows that the product sales prediction model based on the convolutional LSTM (ConvLSTM) network has better prediction accuracy.
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ZoomInfo Copilot AI elevates everyone’s sales game — to engage faster and sell smarter. ZoomInfo Copilot: The AI-powered solution that...
Advanced customer journey analytics to make behavior trends easy to quantify and action. Advanced customer journey analysis to make...