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Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks

83
Citations
June 28, 2024
Published Date

Research Abstract & Technology Focus

The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacles. Data mining assists individuals in effectively addressing these difficulties. Traditional data mining cannot efficiently use big data in the power provider industry. It heavily relies on time-consuming and labor-intensive feature engineering, and the resulting model could be more easily scalable. Convolutional Neural Networks (CNN) can efficiently use vast amounts of data and autonomously extract valuable elements from the original input, resulting in increased effectiveness. This article utilizes a CNN to extract valuable insights from e-commerce information to forecast commodities sales accurately and proposes a CNN-based Sales Forecasting Model (CNN-SFM). The findings indicate that using data mining and CNN yields a high level of precision in forecasting forthcoming people buying capacity data. The correlation variable between actual usage information and projected usage information was 0.98, and the highest mean error was just 1.78%. Data mining can effectively extract hidden relevant information and forecast future consumption habits for e-commerce systems. CNN demonstrates proficiency in accurately predicting forthcoming consumption power and trends.
management sales forecasting e-commerce information system
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What is the core focus of the research titled 'Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks'?

This literature focuses on: The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacl...

Are there open-source GitHub repositories related to Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks?

Yes, open-source projects like EKKOLearnAI/hermes-web-ui (Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics & channel configuration (Telegram, Dis...) are actively building upon these concepts.

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Products like JusticeFlow - AI-Powered Legal Practice are bringing this to market. Their focus is: Legal Practice Management with AI-Powered Intelligence.

What other academic literature is closely related to 'Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks'?

Yes, highly correlated activity was mapped. An entry titled 'Artificial Intelligence in Financial and Supply Chain Optimization: Predictive Analytics for Business Growth and Market Stability in The USA' discusses this: This study investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing supply chain operations and financi...

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