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.
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,
Figure 1: Cross border e-commerce operation mode.
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
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
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,
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
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.
BDEDM 2022 - The International Conference on Big Data Economy and Digital Management
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).
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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