DEVELOPMENT OF INTELLIGENT MOBILE APPLICATIONS

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.