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Izvestiya SFedU
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ISSN 1999-9429 print
ISSN 2311-3103 online
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  • DEVELOPMENT OF INTELLIGENT MOBILE APPLICATIONS

    Т. А. Kramarenko, E. V. Feshina , T. V. Lukyanenko
    2022-06-03
    Abstract ▼

    The article presents the development results of a module for the retail network mobile application
    modernization. A feature of the presented mobile application module is the display of personalized
    messages with advertising and promotions of the retail network. A mathematical model
    of machine learning is used to collect and analyze data in a mobile application. The process ofchoosing a mathematical model, the operation algorithm and the model training stages on training
    data are described in detail. The quality of the classifier's work was evaluated on a test and training
    sample. Test sample objects classification and the real value of the class comparison with the resulting
    classification were performed. The authors in the article presented the main stages of the algorithms
    development for processing statistical data from customer receipts. The program codes for the
    receipt analysis module implementation and display the mobile application personalized advertising
    are presented. To implement the database as a tool, the authors used the relational data management
    system MS SQL Server. The modules of the mobile application are developed in the Android Studio
    environment for the Android operating system family. The authors presented the algorithm main
    stages and testing the implemented modules operability in the paper. Based on the data on purchases
    made by the buyer, information about preferred products is collected based on the fixation of product
    groups and product items from the receipt. The loyalty card of the retail network is linked to the mobile
    application, and receipts for purchases are linked to loyalty cards, in turn. Previously, the application
    displayed ads for all products participating in promotions. The actual task is to display personalized
    advertising, which has proven its effectiveness. The mobile application is distributed for
    free through the Play Market and is designed for smartphones running the Android OS line.
    The purpose of the development is to display in the application on the buyer's device first advertising
    frequently purchased goods, and then the rest of the promotional goods. The mobile application has
    passed load testing in real use by customers conditions of the retail network.

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