The paper present a modeling of mechanisms for determining consumer priorities in the e-trade market and the development of models, methods and information technologies on this basis that ensures the implementation of effective mechanisms for managing interaction with customers of e-trade enterprises. The main focus is to research the mechanisms of formation and identification of consumer priorities in the e-trade market and the development of artificial intelligence technology that can be used to study complex patterns of interaction in e-trade and be the basis for developing of modern customer information management technologies.
Today it is impossible to imagine the modern development of the economy without the widespread implementation and full use of digital technologies. The pace of digital innovation is growing every year, and, accordingly, the number of Internet users is increasing.
Hootsuite Global Digital research shows that
on average, more than a million new users of the
global Internet are added every day. In January
2021, the number of active Internet users was 4.66
billion people. This is 316 million (7.3%) more
than at this time last year (2020). According to
research for 2021, the global Internet penetration
is 59.5% [
The problem of finding effective mechanisms for determining consumer priorities in e-trade using information technology is very relevant. This task is especially relevant in the current context of the COVID-19 pandemic, war state, when e-trade is constantly growing, and e-trade itself becomes an effective and reliable channel for economic activity and an important factor in ensuring socio-economic and social development.
The object of research is the mechanisms of
formation and identification of consumer
priorities in the e-trade market, interaction
processes, business processes and information
flows in e-trade. The subject of research is the
theoretical-methodological and organizational
principles of functioning of e-trade enterprises,
methods, models and information technologies of
interaction management in e-trade. Among the
main tasks of the article is the development of
technology for determining consumer priorities in
e-trade, taking into account the consumer profile
and a set of personal customer characteristics
using intellectual data analysis and artificial
intelligence methods and on this basis the
development of web-based management system
for customer interaction in e-trade [
The processes of the COVID-19 pandemic and
martial law in Ukraine have become factors in
accelerating the development of e-commerce
systems in order to survive e-commerce
enterprises in these difficult conditions. The rate
of growth of e-commerce systems in Ukraine is
constantly increasing, the number of electronic
orders for goods increases by approximately 25–
30%, and the turnover in hryvnias is by 40–60%.
The digital transformation of the economy
changes the generally accepted ideas about how
business is structured, how consumers receive
services, goods, and how business structures
should adapt to these challenges and regulate
them. In 2021–2022, the coronavirus pandemic
significantly motivated customers around the
world to make purchases without leaving their
homes. Nowhere has there been more
unprecedented and unpredictable growth than in
the digital and e-commerce sectors, which have
flourished amid the COVID-19 crisis. Against the
background of a slowdown in economic activity,
COVID-19 led to a surge in e-commerce and
accelerated the digital transformation of society.
Businesses and consumers are increasingly
“moving to digital markets. Statistics show that a
total of 59% of respondents said they will invest
more in e-commerce channels in the near future as
a result of COVID-19. Companies in these
categories are more likely to do it in the following
areas: consumer electronics (78%); packaged
food and beverages (77%); baby care products
(75%); personal hygiene products (74%) [
In the United States, the B2C e-commerce
industry is expected to hold on to the global
pandemic accelerated sales in 2022, with big
retailers, including Amazon and Walmart, set to
benefit from the growing online shopping trends
among consumers in the country. While the
growth in sales declined in 2021, the total
purchases remained far above the pre-pandemic
levels [
Another important factor with the surge of the COVID-19 pandemic was cybercrime, which grew more than any other criminal activity. The FBI notes that cybercrime reports have quadrupled during the COVID-19 pandemic.
These problems are described in more detail in
[
Interfaces provide software products
management and communication of users with the
program. The advantages of using software
products aimed at improving the usability of
interfaces include: simplifying the perception of
the software product business logic by a specific
user; flexibility of the information presentation
model; improving the performance of the
interface. Dynamic change should be understood
as a change in the display of the interface
(adaptation), because of the execution of scenario
based on the user behavioral portrait [
A criteria set СR {сr1,...,сrСR } that will change, that is, adapt to the user, Fact { fact1,..., fact Fact } is this is a factors set that will influence the choice of one or another criterion. Based on the factors identified in advance that influence the interface, the criteria for building the interface will change. Interface adaptation is been from specific observational data, that is, factors, to a general model that includes many changing criteria.
So, you can build a function Ф that reflects the adaptation process: (сr1( fact1,..., factk ),...,сrm ( factk ,..., factF ))
m k 0 iсri ( fact1,..., factF )
i1 F1 m m k ijсriсrj ( fact1,..., factF ) i1 j1 F1 m m m k ijkсriсrjсrk ( fact1,..., factF ) ...
i1 j1 k1 F1 (1) Software requirements:
The software product must provide: collection and storage of information about users of the involved web application; pseudo-identify users based on the collected data; automate the adaptation of pseudo-identified user interfaces.
The software product must match the following requirements: 1. Controlled collection of information on users of the web application. 2. Creation and support of databases of received information. 3. Pseudo-identification of web application users based on the collected information. 4. Automated adaptation of the user interface of the web application based on the data collected and processed by the software product.
Fig. 1 shows the interaction scheme of the software complex.
“AAUI is Automatic Adaptation User Interface” is the initial module from which interaction with the components of the software product, “Identification” is implements the formation of an entity from the collected information about the object that has shown activity, “Operating system” is collection of information about the software of the active user, “Browser identification” is responsible for collecting information about the software involved in interaction with the final software product, “Human behavior” is provides a check for the possible past presence of a pseudodeanimized object, “Adaptation” is the block is responsible for the embedded software adaptation implemented on the basis of the resulting imprint of the pseudo-deanimized object of interaction with the final product, “Database” is the block is responsible for saving the analyzed information, pseudo-deanimation tokens and interface adaptation rules, “Process identifier” is the block is responsible for matching the identification of existing interaction objects.
Fig. 2 show a block diagram of modulation when using a software product.
“LOG IN” block is displays the user’s visit to the service; “Set token” block is displays the generation of an identifier by the “AAUI” software system, the generation of an identifier occurs in parallel with the collection of additional data for stricter user identification.
Checking visit is check for a possible past visit by the user to the service: In the case of identifying a user “User identified”, the “Analysis behavioral characteristics” of the behavioral characteristics collected on the basis of the software product interface objects programmed to track changes, the application of personal settings “Involvement settings” and subsequent monitoring of changes in potentially changeable settings of the “Tracking status changes” are monitored. All changes to the tracked web interface settings are saved “Saving the latest user settings” to the database at each stage of their implementation. If the user visits the “User not identified” web service for the first time and no identification matches are found, the specified changes by the user are tracked and the “Saving changes made by the user” is further saved at the stage of their implementation.
An online store selling handmade goods was created to test the technology of intelligent interface customization.
Several types of UML diagrams will be schematically depicted below, each of which models the subject area from different perspectives. The online handmade goods store is the main object of the simulation, so all diagrams will be created based on the main component.
The main advantages of the software system are the applied model of identification of anonymous users of final software products for the further use of a dynamic identifier in order to automatically adapt the interface to the identified user. “AAUI” is a server-side software product written in the PHP scripting programming language.
The software product provides: Software product administration (managing the list of active identification filters, changing, editing, creating adaptation rules). Storage and processing of information about users. Ensuring the storage of information about sessions.
The data source is the database. It stores all information about pseudo-deanonymized users and rules for dealing with established groups.
End-users interact with the software system through primary interaction with the interface.
The server application “AAUI” interacts with the user of the web application at the moment of his stay and interaction with the latter's interface. The level of absorption of collected information about the visitor is set by the administrator of the software system.
The main source of data storage is the database. It stores information about the received entities of pseudo-deanonymized users.
The free MySQL relational database management system is used to store information. The structure of the database is developed on the basis of the developed user identification methodology. The implementation of the user pseudo-identification system is interesting in this product. We will consider the interaction between parts of the software product using the following code parts as an example:
App: :before(function($request){ $url_lang = Reques::segment (1); $cookie_lang = Cooki::get(‘language’); $browser_lang = substr(Request: :server(‘HTTP_ACCEPT_LANGUAGE’), 0, 2);
iF(!empty($ur1_lang) AND in_array($url_lang, Config::get(‘app.language’))) { if($url_lang !=$cookie_lang) {
Session::put(‘language’, $url_lang); }
App::setLocale($url_lang); } else if(!empty($cookie_lang) AND in_array($cookie_lang, Config::get(‘app. languages’))) {
App::setLocale($cookie_lang); } else if(!empty($browser_lang) in_array($browser_lang, Config:: languages’))) {
AND get(‘app. if ($browser_lang != $cookie_lang) {
Session::put( ‘language', $browser_lang); } $timezone = \Auth::user()->timezone; $datetime - $this->asDateTime($value); DB: : table( ‘essences *)->insert( [‘langcode’ => , $browser_lang) ‘votes’ [‘date’ => , $datetime + $timezone) ‘votes’ > 0] => 0] } );
The block for obtaining information about user-set languages, time zone, in listing is presented.
The function of automatic localization adaptation of the web application based on the collected data is presented in listing: public function handle($request, Closure $next) { if(!\Session::has('locale')) { \Session::put('locale', \Config::get('app.locale')); } $usersrule = DB::table('data')>select('rule', 'rule')->get(); if (checkrule($usersrule)==Config::get('app. locale')) app()>setLocale(\Session::get('usersrule')); return $next($request); }
To solve the problem of storing structured information cross the Internet in local storage and fragments of information transferred to the browser from the site visited by the user, the paper proposed a method of storing the JSON web key in a local variable inside the closure. In this case, the token cannot be obtained during an XSS and CSRF attack on the partition from when the token is stored in LocalStorage or a cookie, because it is stored in memory, and placed it in local storage given an advantage in saving data, so that now the private keys not became public. Every time an attacker tries to gain privacy using access token, he will spend more time to find and get the token along with other methods of saving access token, so this method can be better than storing token in LocalStorage or cookie.
In addition, this method allows you to protect the user's storage data even when the web resource is accidentally closed. Suppose the user exits the current session, closes the browser tab. Now, when the user enters the application again, the system looks like this (see Fig. 7):
1. If there is no JWT in memory, the silent
update workflow [
2. If the refresh token is still valid (or has
not been revoked), a new JWT is sent [
In this way, it is possible to maintain the client's authorization inadvertently at the end of the life of the access token.
The aim of the article is to model mechanisms for determining consumer priorities in the e-trade market and to develop models, methods and information technology for managing interaction with customers of e-shops based on intellectual data analysis and artificial intelligence methods.
The article aims to solve the complex problem
of finding effective mechanisms for determining
consumer priorities in e-trade based on modern
methods, models and information technologies.
The study is especially relevant in the current
context of the COVID-19 pandemic, war state
when e-trade is constantly growing, and e-trade
itself becomes an effective and reliable channel
for economic activity and an important factor in
ensuring socio-economic and social development
[
The presented software development is aimed at automated adaptation of interfaces to the needs of users. The software product provides pseudoidentification of users (building a database of anonymous users and rules based on their presence in web applications). The main advantages of the software system are the applied model of identification of anonymous users of final software products for the further use of a dynamic identifier for the purpose of automatic adaptation of the interface to the identified user.
Prospects for further development include increasing the number of identification markers to increase the probability of user identification, implementing embeddability in content management systems, and optimizing data loss.