INNOVATIVE APPROACHES TO INTERACTION WITH CLIENTS BASED ON GENERATIVE ARTIFICIAL INTELLIGENCE
Abstract
The article explores the potential of generative artificial intelligence to transform customer experience and create innovative approaches to interaction with consumers. The relevance of the work is due to the rapid development of generative artificial intelligence technologies, such as ChatGPT, Gemini and others, as well as the growing business demand for personalization and automation of customer communications. The purpose of the study is to systematize innovative methods of using generative artificial intelligence (GAI) in interaction with clients, assess their benefits and identify key risks associated with implementation. The methodology is based on a systematic analysis of scientific publications, cases and data related to this area of research using general scientific methods: comparison, synthesis and logical generalization. It is shown that GAI is able to improve interaction with clients radically through hyper-personalization, proactive support, empathic interaction and joint value creation. However, successful implementation requires overcoming technological, ethical and organizational challenges, including the problem of GAI “hallucinations”, data bias, high costs and the need to retrain personnel. The scientific novelty of the work lies in a comprehensive classification of approaches to the use of GAI at all stages of the customer journey, as well as practical recommendations for their implementation. The results of the study can be useful for business leaders striving for digital transformation and can be used to optimize service, increase customer loyalty and create a sustainable competitive advantage. Despite the fact that there are a number of difficulties when using generative AI, companies need to adopt it as a strategic tool for developing customer interactions.
Keywords: customer interaction, generative AI, innovation, customer journey, digital transformation, ChatGPT
References
- Gordeev V.V., Stolyarov A.D., Abramov V.I. Offer Personalization and Sales Management in the Data Economy // Journal of Economics, Entrepreneurship and Law. 2024. Vol. 14(12). Pp. 8205-8224. (In Russ.). DOI:18334/epp.14.12.122199
- Stolyarov A.D., Abramov A.V., Abramov V.I. Generative Artificial Intelligence for Business Models Innovation: Opportunities and Limitations // Beneficium. 2024. Vol. 3(52). Pp. 43-51. (In Russ.). DOI: 10.34680/BENEFICIUM.2024.3(52).43-51
- Abramov V.I., Abramov A.V., Stolyarov A.D Innovative Trends and Challenges of Using Generative Artificial Intelligence in Management // Municipal Academy. 2024. Vol. 4. Pp. 200-210. (In Russ.). DOI: 10.52176/2304831X_2024_04_200
- McKinsey Quarterly Classics special issue on technology (2024). McKinsey Quarterly. URL: https://www.mckinsey.com/quarterly/digital/classics-special-issue-technology (accessed on 11.05.2025).
- Gartner Survey Reveals 85% of Customer Service Leaders Will Explore or Pilot Customer-Facing Conversational GenAI in 2025 (2024). Gartner. URL: https://www.gartner.com/en/newsroom/press-releases/2024-12-09-gartner-survey-reveals-85-percent-of-customer-service-leaders-will-explore-or-pilot-customer-facing-conversational-genai-in-2025 (accessed on 11.05.2025).
- The economic potential of generative AI: The next productivity frontier (2023). McKinsey Digital. URL: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#introduction (accessed on 11.05.2025).
- Gartner Identifies Three Top Priorities for Customer Service and Support Leaders in 2024 (2024). Gartner. URL: https://www.gartner.com/en/newsroom/press-releases/2024-02-05-gartner-identifies-three-top-priorities-for-customer-service-and-support-leaders-in-2024 (accessed on 11.05.2025).
- Bhattarai A. Exploring Customer Engagement through Generative AI Innovative Strategies in Digital Marketing Campaigns // Quarterly Journal of Emerging Technologies and Innovations. Vol. 8(12). Pp. 1-9.
- Stolyarov A.D., Gordeev V.V., Abramov A.V., Abramov V.I. Generative Artificial Intelligence and its Impact on Personalization of Consumer Offers // Information Society. 2025. Vol. 2. Pp. 2-13. (In Russ.). DOI: 10.52605/16059921_2025_02_02
- URL: https://www.restack.io/p/generative-ai-answer-differences-between-generative-ai-and-traditional-automation-cat-ai (accessed on 11.05.2025).
- The Evolution of AI - From Rule-Based Systems to Generative Models (2025). Promptengineering. URL: https://promptengineering.org/the-evolution-of-ai-from-rule-based-systems-to-generative-models/ (accessed on 11.05.2025).
- Peppers D., Rogers M. Managing Customer Relationship. A Strategic Framework. Publisher: John Wiley & Sons, 2006. 336 s.
- Keyser A.D., Lemon K.N., Klaus Ph., Keiningham T.L. A Framework for Understanding and Managing the Customer Experience // Marketing Science Institute Working Paper Series. 2015. Report No. 15-121. 47 p.
- Payne A., Frow P. Strategic Customer Management, Integrating Relationship Marketing and CRM. New York: Cambridge University Press, 2013. 211р.
- Pine B.J., Gilmore J.H. The Experience Economy: Past, Present and Future // In book: Handbook on the Experience Economy Publisher. 2013. Pp. 21-44. DOI: 10.4337/9781781004227.00007
- The Future of Customer Experience Technology Trends in 2024 (2024). Surveypal. URL: https://surveypal.com/wp-content/uploads/2024/01/The-Future-of-Customer-Experience-2024.pdf (accessed on 11.05.2025).
- The Future of Customer Experience (CX): Trends for 2025 and Beyond (2025). Harlem World. URL: https://www.harlemworldmagazine.com/the-future-of-customer-experience-cx-trends-for-2025-and-beyond/ (accessed on 11.05.2025).
- Boguda S., Shailaja A. The Future of Customer Experience in the Information Age of Artificial Intelligence -Get Ready for Change // International Journal of Engineering Research & Technology. 2020. Vol. 08(06). Pp. 1140-1150. DOI: 10.17577/IJERTV8IS060622
- Beyond the Noise: Orchestrating AI-driven Customer Excellence (2024). KPMG. URL: https://kpmg.com/xx/en/our-insights/transformation/global-cee-2024-2025.html (accessed on 11.05.2025).
- Transformation through AI and GenAI (2024). BCG. URL: https://trendwave.io/trends/ai-robots-drones/bcg-transformation-through-ai-and-genai-customer-engagement-dec-2024-3419.html (accessed on 11.05.2025).
- Consumer Tech Industry Trends 2025 What’s driving growth in Home Entertainment, Smartphones, Health Tech, and Workspace Tech? (2025). Nielsen & GFK. URL: https://nielseniq.com/global/en/insights/report/2025/consumer-tech-industry-trends-2025/ (accessed on 11.05.2025).
- Chepur J., Bellamkonda R.S. The Role of Customer Experience in the Formation of Customer Engagement in Retail Banking Industry: Mediation and Moderation Analysis // International Journal of Electronic Customer Relationship Management. 2022. Vol. 13(4). Pp. 357-387. DOI: 10.1504/IJECRM.2022.10050100
- Soni V. Large Language Models for Enhancing Customer Lifecycle Management // Journal of Empirical Social Science Studies. 2023. Vol .7(1). Pp. 67-89.
- Applying Large Language Models to Sponsored Search Advertising (2023). MSI. URL: https://www.msi.org/working-paper/applying-large-language-models-to-sponsored-search-advertising/ (accessed on 11.05.2025).
- Brynjolfsson E., Li D., Raymond L. Generative AI at Work // National Bureau of Economic Research. 2023. Vol. 31161. Pp. 1-67. DOI: 10.3386/w31161
- Reisenbichler M., Reutterer T., Schweidel D.A., Dan D. Frontiers: Supporting Content Marketing with Natural Language Generation // Marketing Science. 2022. Vol. 41(3). Pp. 441-452. DOI: 10.1287/mksc.2022.1354
- Unleashing the value of customer service (2025). Capgemini. URL: https://www.capgemini.com/wp-content/uploads/2025/03/18th-March-Customer-service-transformation-CRI_V7.pdf (accessed on 11.05.2025).
- Top 5 sposobov, kak Generativnyj II povyshaet dostupnost' i udobstvo avtomatizirovannoj klientskoj podderzhki [Top 5 Ways Generative AI Increases the availability and convenience of Automated Customer Support] (2024). Cloudfresh. (In Russ.). URL: https://cloudfresh.com/ru/cloud-blog/kak-generativnyy-ii-uluchshayet-kliyentskuyu-podderzhku/ (accessed on 11.05.2025).
- Kak rasschitat' ROI ot vnedreniya AI v otdel prodazh [How to Calculate ROI from Implementing AI in the Sales Department] (2024). Salesai. (In Russ.). URL: https://blog.salesai.ru/rasschitat-roi-ot-vnedreniya-ai (accessed on 11.05.2025).
- LLM v ritejle i e-commerce: oblasti primeneniya i preimushchestva ispol'zovaniya [LLM in Retail and E-Commerce: Application Areas and Benefits of Use] (2024). Napoleonit. (In Russ.). URL: https://napoleonit.ru/blog/llm-v-riteyle-i-e-commerce-oblasti-primeneniya-i-preimushchestva-ispolzovaniya (accessed on 11.05.2025).
About the Authors
Andrey V. Abramov – Student, National Research Nuclear University MEPhI, Moscow, Russia. E-mail: abandrey2002@gmail.com. SPIN РИНЦ 4880-6329. ORCID 0009-0005-4758-4677
Alexander D. Stolyarov – applicant, National Research Nuclear University MEPhI, Moscow, Russia; Research Associate, Institute of Applied Information Technologies, Moscow, Russia. E-mail: mr.alexst@gmail.com. SPIN РИНЦ 5180-2461. ORCID 0000-0001-8916-6709
Viktor I. Abramov – Dr. Sci. (Economics), Docent; Professor, National Research Nuclear University MEPhI, Moscow, Russia; Scientific Director, Institute of Applied Information Technologies, Moscow, Russia. E-mail: viabramov@mephi.ru. SPIN РИНЦ 9180-0782.ORCID 0000-0002-9471-9408.ResearcherID AEL-7284-2022. Scopus Author ID 56005129700
For citation: Abramov A.V., Stolyarov A.D., Abramov V.I. Innovative Approaches to Interaction with Clients Based on Generative Artificial Intelligence // Beneficium. 2025. Vol. 2(55). Pp. 77-85. (In Russ.). DOI: 10.34680/BENEFICIUM.2025.2(55).77-85