Background of the Study
Artificial intelligence (AI) is revolutionizing industries globally, including hospitality, where its implementation significantly impacts customer service quality. In the hotel industry, AI technologies such as chatbots, smart concierge services, automated check-in/check-out systems, and predictive analytics are being adopted to improve customer experiences, increase operational efficiency, and reduce operational costs. In Kano, a state with a vibrant tourism industry and an increasing number of hotels catering to both domestic and international visitors, AI can offer opportunities to enhance customer service by personalizing guest interactions, anticipating customer needs, and streamlining processes.
AI’s application in Kano hotels could help in predictive customer service—anticipating guest preferences, providing real-time assistance, and offering tailored recommendations for activities, dining, and local attractions. The integration of AI-driven systems can also streamline back-office operations, improving booking systems, inventory management, and staff allocation. This contributes to a more seamless experience for guests, from reservation to checkout, and fosters greater customer satisfaction.
This study aims to explore how AI technologies are being applied in Kano’s hotel sector to enhance customer service, focusing on their effectiveness in improving guest satisfaction and operational efficiency.
Statement of the Problem
Despite the rapid growth of the hospitality sector in Kano, customer service challenges persist, including long check-in times, limited personalization of services, and inefficiencies in guest management. While AI has the potential to address these issues, the extent to which it has been effectively integrated into customer service operations in Kano’s hotels remains unclear. This research seeks to assess how AI technologies can improve customer service in Kano hotels and identify barriers to their full implementation.
Objectives of the Study
Research Questions
Research Hypotheses
Scope and Limitations of the Study
This study will focus on hotels in Kano State that have implemented AI-based customer service tools. The research will examine customer satisfaction, operational efficiencies, and barriers to AI adoption. Limitations include potential biases in self-reporting from hotel management and guests, and the challenge of isolating AI’s impact from other factors influencing customer service.
Definitions of Terms