Abstract

In order to explore the change of artificial intelligence to online consumption patterns and consumption concepts, this paper explores the changes of artificial intelligence to online consumption patterns and consumption concepts, which are mainly realized through intelligent platforms. Moreover, this paper uses intelligent algorithms to improve the efficiency of system processing data, and uses data mining algorithms to process consumption patterns and consumption concept data. In addition, this paper studies the size and effect of the intermediary role played by payment mental accounts in payment costs and consumer purchase decisions, and studies the changes and effects of artificial intelligence on people's consumption patterns. Finally, this paper analyzes the changes of artificial intelligence to online consumption patterns and consumption concepts by investigating access methods and big data technology. Through investigation and research, we know that artificial intelligence can change consumption patterns, and make people more willing to accept this pattern of smart consumption, and it improves the convenience of people's consumption.

Highlights

  • Artificial intelligence technology has changed people's lifestyles, and changed people's payment methods.research on artificial intelligence has a certain positive effect on the changes in online consumption patterns and consumption concepts.In recent years, emerging mobile payments have developed rapidly, payment methods tend to be diversified and diversified, and payment scenarios have gradually expanded

  • Abstract.In order to explore the change of artificial intelligence to online consumption patterns and consumption concepts, this paper explores the changes of artificial intelligence to online consumption patterns and consumption concepts, which are mainly realized through intelligent platforms.this paper uses intelligent algorithms to improve the efficiency of system processing data, and uses data mining algorithms to process consumption patterns and consumption concept data.In addition, this paper studies the size and effect of the intermediary role played by payment mental accounts in payment costs and consumer purchase decisions, and studies the changes and effects of artificial intelligence on people's consumption patterns.this paper analyzes the changes of artificial intelligence to online consumption patterns and consumption concepts by investigating access methods and big data technology

  • This article explores the changes of artificial intelligence to online consumption patterns and consumption concepts, which are mainly realized through intelligent platforms

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Summary

Introduction

Artificial intelligence technology has changed people's lifestyles, and changed people's payment methods.research on artificial intelligence has a certain positive effect on the changes in online consumption patterns and consumption concepts. Multiple life scenes are closely connected, consumer experience is gradually improved, consumer ideology changes, and shopping consumption time continues to shorten.It can be seen that emerging payment methods are changing people's daily consumption habits and reshaping people's lifestyles. Non-cash payment tools provide residents with payment protection for consumption anytime and anywhere, and their convenience improves residents' propensity to consume and increase unexpected consumption. The "mental account" effect of non-cash payment reduces the psychological loss of payment and directly increases residents' willingness to consume. The convenience of non-cash payment tools stimulates the residents' surviving impulse to consume, enhances the willingness to consume, and accelerates the completion of consumption behavior. Due to the "mental account" effect of non-cash payment tools, it can give consumers a better consumer psychological experience than cash payment

Related work
Data mining of consumption patterns and consumption concepts
Findings
Conclusion
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