DEVELOPMENT OF AN AUTOMATED PARSING SYSTEM ONE-TIME ORDERS FOR FREIGHT TRANSPORT IN LONG-DISTANCE TRAFFIC

Abstract

Problem. The efficient movement of goods over vast distances is the backbone of modern trade. Automatic collection mechanisms are driving the development of a system that collects and updates data in real time, using technologies such as data parsing, data scanning and sensor networks to create a dynamic, rapid response platform. This data-driven approach has huge potential for both shippers and carriers. Goal. Defining the theoretical foundations of automated data collection software for the development of a parsing system for automated search and processing of one-time orders for long-distance freight transport. Methodology. Statistical and simulation modelling. Task statement – Identification and evaluation of potential orders on the DELLA online platform, integration into the company's business processes related to information processing and analysis. Results. The article analyses the theoretical foundations of software development for automated input data collection. An automated parsing system was developed to search and process one-time orders for long-distance freight transport. The development of the automated parsing system allowed to obtain a matrix of one-time orders at the regional level of Ukraine. Conclusions: To model the flow of one-time orders, it is proposed to use machine learning methods to create a data parser that structures the information of a web page and provides it in a form ready for analysis. The information is searched for on the most popular logistics website among freight transport exchanges in Ukraine, DELLA, which has the largest target audience in the road transport sector. Originality. Based on the analysis of automated data collection software, a parsing system was created for automated search and processing of one-time orders for long-distance freight transport in intercity traffic. Practical value. As a result of processing the data set, a matrix of one-time orders was formed, which determines the demand in the Ukrainian intercity road transport market.