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Data Communication Based on MQTT in a Polymer Extrusion Process

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Online Shopping Brand Sales Based on IoT Big Data Processing.

Menglin Zhang¹, Xiaoyu Ma²

¹Department of Fundamentals, Jiangsu Vocational College of Finance and Economics, Huaian 223003, Jiangsu, China.

Computational Intelligence and Neuroscience

|April 5, 2022

Summary

Internet of Things (IoT) and big data analytics significantly influence online shopping brand sales. Key factors include online reviews, brand awareness, and public opinion, particularly for women aged 25-35.

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Area of Science:

Data Science
E-commerce Analytics
Consumer Behavior

Background:

The integration of Internet of Things (IoT) and big data technologies is transforming online shopping.
Understanding factors influencing online brand sales is crucial for industry development.

Purpose of the Study:

To analyze the impact of various factors on online shopping brand sales using IoT and big data.
To derive actionable marketing strategies for online brands based on data analysis.

Main Methods:

Utilized big data processing technology from the Internet of Things.
Collected data through online questionnaires.
Analyzed influencing factors on online brand sales.

Main Results:

Online evaluations, brand awareness, community engagement, public opinion, and information channels significantly affect sales.
Women aged 25-35 actively seek online information.
Negative news deters 195 respondents; 186 check online reviews during purchase.
Men aged 25-35 also prioritize online reviews.

Conclusions:

Online reputation and consumer sentiment are critical drivers of e-commerce success.
Targeted marketing strategies should leverage online data and address consumer concerns.
Demographic analysis (e.g., women 25-35) can inform specific marketing approaches.