Artificial Intelligence in Self-Service: Ushering a New Era of Customer Interaction
Abstract
In an increasingly digital world, the integration of Artificial Intelligence (AI) in self-service solutions is becoming a critical success factor for organizations especially companies offering services. This paper explores both the challenges and opportunities associated with using AI in self-service systems supporting customer service employees. By automating routine inquiries, companies would increase efficiency as well as increase customer satisfaction through personalized and prompt responses. However, issues of data security and privacy needs to be addressed. This paper studies the impact of AI-powered self-services on the customer satisfaction and employee productivity in the service industry. The paper will provide practical insights into successful implementation strategies of self-services and AI. The paper demonstrates how companies can benefit from the synergy between human expertise and AI technology. The case studies reveal that a successful implementation of AI Self-Services requires a prerequisite digitalization level, employee skills, and agile development mindset. The focus is on analyzing case studies that illustrate the transformative power of AI in customer service. Finally, future trends and developments that could shape the service industry will be discussed. The study concludes that AI-powered self-service solutions can significantly enhance customer service operations when implemented strategically.
Keywords: Artificial Intelligence, Service Engineering, Service Design, Service Innovation, Customer Management, Self Service
DOI: 10.54941/ahfe1006210
Cite this paper
More from this volume
- Data-Driven Insights into Diabetes-Related Hospital Readmissions in the United States: Trends and Predictors
- A Sliding-Window Batched Framework: Optimizing Retrieval-Augmented Generation (RAG) for Trustworthy AI under the EU AI Act
- A Method of Structured Standard Terminology Based on Decoupling Approach
- Convo-Based Attitude Analysis of Twitter Big Data: A Case Study on Ukraine-Russia War Dataset
- Smart Cities: are they really accessible and truly smart?
- AI Optimization of Resolution Strategy in Utility Billing and Revenue Assurance
- Behavioural Intentions of Natural Farming Farmers to Adopt Digital Platforms for Purchasing Inputs: A Structural Equation Modeling-Based Multi-Group Analysis
- AIToys: A conceptual definition and future research agenda
- FITMag: A Framework for Generating Fashion Journalism Using Multimodal LLMs, Social Media Influence, and Graph RAG
- Challenges and Opportunities in E-commerce Distribution Networks in Johannesburg.
- Revolutionizing Logistics Management with Blockchain Technology
- Interpretable AI-Generated Videos Detection using Deep Learning and Integrated Gradients


AHFE Open Access