Artificial-intelligence-powered customer
service management in the logistics industry
Artificial-intelligence-powered customer
service management in the logistics industry
Author(s): Marta Brzozowska, Katarzyna Kolasińska-Morawska, Łukasz Sułkowski, Paweł MorawskiSubject(s): Social development, ICT Information and Communications Technologies, Socio-Economic Research, Transport / Logistics
Published by: Uniwersytet Ekonomiczny w Krakowie
Keywords: artificial intelligence; automation; logistics; logistics customer service; Industry 4.0;
Summary/Abstract: Objective: The article aims to show how people perceive future implications for logistics customer service resulting from the implementation of new technologies in the form of game-changer artificial intelligence (AI) solutions in the spirit of economy 4.0 and society 5.0.Research Design & Methods: The research process used a nomothetic approach based on the methodology of mixed research. The qualitative approach included a research study of monographs, publications, reports, and netographic sources. We used the technique of critical content analysis based on the co-occurrence of terms. In turn, we based the quantitative approach on the diagnostic survey method with the computer-as- sisted web interviewing (CAWI) technique. The sample size was 233. For further analysis, we used the statis- tical package for the social sciences (SPSS).Findings: The research shows that customer service in logistics already uses different forms of AI-based solutions (like Chabtbots, Voicebots, and voice assistants). Even customers positively evaluate those solu- tions, among others, for efficiency, competence, and service quality. Moreover, customers are aware of AI-based solutions and know that their usage will deepen in the future, as it is a game changer for the competitiveness of customer service in logistics.Implications & Recommendations: The conducted research indicates the need to constantly improve the digital competences of the users of last-mile logistics services in the context of technologization of transaction pro- cesses. Different areas of business will widely use AI-based solutions, because there is a need to develop systems which will help with the human-machine communication. This technology should be constructed as safe for peo- ple and easy to use; both with regard to users and customers. As a result of these processes, there is a greater need to educate people about AI-based solutions to develop awareness and improve future outcomes. Contribution & Value Added: The article’s main advantage is determining new possibilities in the area of lo- gistics customer service as a result of the dissemination of solutions in the AI field, which may be a helpful instrument for enterprises in managing the last-mile scenario in the future.
Journal: Entrepreneurial Business and Economics Review
- Issue Year: 11/2023
- Issue No: 4
- Page Range: 10-121
- Page Count: 12
- Language: English