Research on Cross-border E-Commerce Operation Processing Model

based on Big Data Technology

Yuanyuan Zhou

Nanchang Vocational University, Nanchang, Jiangxi, 330004, China

Keywords: Big Data Technology, Cross-Border E-Commerce, Operation Mode, Data Information Processing.

Abstract: The application of big data technology has further changed the distribution mode of cross-border e-commerce.

The operation of cross-border e-commerce requires strong data computing capacity and perfect logistics

distribution system. With the development of big data technology, this warehousing and distribution mode

has gradually become the development path of cross-border e-commerce. In cross-border electricity in the

process of the construction of information processing model of data, make full use of logistics information

technology, logistics, customer relationship analysis function, through the logistics research, data analysis,

clustering analysis and data mining technology relationship analysis and cluster analysis, for cross-border

logistics market operation mode of power conversion to provide technical support, make big data technology

is widely used in cross-border power industry. After the customer pays the deposit in advance, the cross-

border e-commerce enterprise can choose the appropriate distribution center according to the length and

distance of the route and send the purchased mail to the nearest storage center to improve the logistics speed

and user experience.

1 INTRODUCTION

Big data technology has huge data scale information

base, complex data, fast processing process,

inefficient value density and so on (Zheng, 2020). Big

data technology is to analyze data information

through the cloud computing data processing center

of the computer, and then decompose the data

information into a single data source, remodel the

value, and send the calculated results to users, so that

users can quickly access the relevant content (Shi,

2020).

Figure 1: Cross border e-commerce operation mode.

166

Zhou, Y.

Research on Cross-border E-commerce Operation Processing Model based on Big Data Technology.

DOI: 10.5220/0011169300003440

In Proceedings of the International Conference on Big Data Economy and Digital Management (BDEDM 2022), pages 166-170

ISBN: 978-989-758-593-7

Big data technology is a high-tech technology,

which provides the scientific basis for the final

decision-making of enterprises through data storage,

data collection, screening and algorithm analysis

(Wu, 2019, Chen, 2019). Traditionally, data analysis

and data mining technology is an important product

of the rapid development of information technology

(Deng, 2019). At present, big data technology mainly

includes cloud computing, data collection, database

system, management, data mining, information

visualization and other important technologies

(Deng, 2019).

In the cross-border e-commerce operation mode,

big data technology mainly analyzes and processes

the data generated in business operation and deeply

explores important enterprise development

information or business opportunities (Li, 2019).

Through the transformation of data information, big

data technology makes these data form a systematic

business model system (Cheng, 2017, Huang, 2017).

Applying this system to the cross-border e-commerce

operation mode can run through the whole e-

commerce circulation process, such as product sales,

sales scheme, product R & D and design, etc (Liao,

2017). To help cross-border e-commerce operations

solve current practical problems, the use of big data

technology can promote the rapid transformation of

cross-border e-commerce operation mode, speed up

the development of cross-border e-commerce

operations, and improve the competitiveness of e-

commerce enterprises (Mu, 2016, Wang, 2016, Chi,

2016).

2 DATA ANALYSIS AND

PROCESSING SYSTEM

2.1 The Role of Big Data Technology in

Product Marketing

Cross border e-commerce operation is a business

development model deeply related to the network

information platform, and there is a large amount of

information and data hidden in it. As a kind of

commodity transaction, cross-border e-commerce

will produce a huge data information group in the

process of commodity design, production, launch,

sale, transportation, business management and user

transaction (Zeng, 2016, Guo, 2016). Big data

technology classifies these huge data groups through

data analysis technology and data mining technology,

and designs a special analysis and prediction model

for different information classification, so as to

realize the rapid management and mastery of all kinds

of information.For example, some large shopping

platforms in China have established user databases

through big data technology to improve the trading

volume of goods according to users' buying habits

(Zeng, 2016, Wan, 2016, Guo, 2016). When

consumers open the shopping website, they can

quickly browse the things they are interested in,

including product attributes, prices and so on (Shi,

2016, Yang, 2016, Yang, 2016, Bai, 2016, Shao,

2016, Li, 2016). Businesses will see the efficiency

and development trend of competitors and track and

analyze their own marketing.

Figure 2: E-commerce registration process.

2.2 Application of Big Data in

Marketing Promotion

First of all, enterprises need to accurately locate the

target groups of their products. For example, baby

products are targeted at "BMW". Therefore, we

should make further use of the potential data

information of products, quickly find the

corresponding consumer groups, and realize the

investment and sales of products. The second is to

establish the consumer user model of commodity

attributes (Jin 2015, Lin 2015).

Research on Cross-border E-commerce Operation Processing Model based on Big Data Technology

167

Figure 3: Basic process of cargo transportation.

By building a professional model of the system,

the model can be used to quickly compare the users

of the product and select the appropriate consumption

target according to the user group. At the same time,

consumers can also search and find products through

keywords, and use big data technology to promote

products, in order to explore potential consumer

customers, so as to quickly achieve accurate

marketing of products (Cui. 2014, WANG. 2014,

Wang. 2014). In addition, relevant e-commerce

enterprises can also make corresponding product

marketing plans according to the data information, so

as to further attract consumers and promote high-

quality conclusions of commodity transactions (Gao.

2014).

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

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2.3 Application of Big Data Technology

in User Consumption Preference

As the key technology of big data technology, data

prediction has been deeply and widely used in various

fields. Covering geological disasters, financial crisis,

economic growth, event prediction, etc. all reflect a

strong technical function (Li, 2014, Ren, 2014,

ZHENG, 2014). Users' consumption preferences in

cross-border e-commerce can also be realized by

using big data technology. These data information

can be counted, analyzed and calculated by analyzing

consumers' browsing habits, purchase frequency,

preference settings, click through rate, etc. through

these consumption preference information, users'

consumption portrait can be established for

consumers to enhance the recognition of target

groups (Yang, 2014, Zheng, 2014, Yang, 2014). In

the shopping platform, some goods that may be

purchased are recommended to users according to the

user's access interface, click times, search path and

residence time. Enterprises realize the marketing of

shopping websites according to this technology (Zuo,

2014, Wang, 2014, Fan, 2014).

3 CONCLUSION

The application of big data technology in cross-

border e-commerce can not only improve the

timeliness of cross-border logistics, but also help

enterprises further adjust their marketing plans and

distribution routes. The transportation and

distribution of products will affect users'

consumption experience. Some merchants' delivery

time is too long or logistics delivery is slow, which

will lead to poor purchasing experience for

users. Therefore, it is necessary to constantly

improve the distribution routes and marketing plans

of enterprises to improve the speed of logistics

distribution. Therefore, through big data technology,

enterprises can accurately analyze the fastest logistics

route of products, and greatly reduce logistics costs.

The fastest route in the cross-border e-commerce

industry is air transport, which can quickly transport

goods to the destination to save turnover time, but the

cost is also relatively high.

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