Formation of a Digital Twin of the Customer of Digital Transport Platform Services

High competition in the organization of supply chains has led to a fierce struggle for the customer. In this situation, customers of logistics services tend to give preference to companies that are able to meet the most demanding requirements for the quality of supply chain organization. In this regard, carrier companies seeking to strengthen their position in the market are actively studying their customers, studying their needs in detail in order to satisfy them as fully as possible. In modern conditions, this data can be used to create a digital twin of the customer, which is a virtual model that allows predicting customer behavior. For this purpose, this study was conducted to collect and analyze customer feedback data on a digital transport platform. The analysis showed customer preferences characterizing the quality of supply chains.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986247
Primary Topic
Economic and Technological Systems Analysis
Type
article
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Formation of a Digital Twin of the Customer of Digital Transport Platform Services

Nadezhda A. Filippova, Aleksey Dorofeev, Abakar Abakarov
Economic and Technological Systems Analysis
article

Formation of a Digital Twin of the Customer of Digital Transport Platform Services

Nadezhda A. Filippova, Aleksey Dorofeev, Abakar Abakarov
article en

Abstract

High competition in the organization of supply chains has led to a fierce struggle for the customer. In this situation, customers of logistics services tend to give preference to companies that are able to meet the most demanding requirements for the quality of supply chain organization. In this regard, carrier companies seeking to strengthen their position in the market are actively studying their customers, studying their needs in detail in order to satisfy them as fully as possible. In modern conditions, this data can be used to create a digital twin of the customer, which is a virtual model that allows predicting customer behavior. For this purpose, this study was conducted to collect and analyze customer feedback data on a digital transport platform. The analysis showed customer preferences characterizing the quality of supply chains.

North-Eastern Federal University (RU), Financial University (RU), Moscow Automobile and Road Construction State Technical University (RU)
Openalex Percentile: Top 87%
Economic and Technological Systems Analysis
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