AI in Service Interactions
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Abstract
Abstract
The present study investigates the impact of implementing Artificial Intelligence (AI)-based chatbots on operational efficiency, customer experience, and revenue generation, with a specific focus on the fitness industry. The central objective is to analyze how conversational automation, grounded in sophisticated natural language processing (NLP) and machine learning, optimizes omnichannel customer service processes and transforms client relationships through an integrated framework of Complementary Cognitive Automation. The methodology adopted comprises a systematic literature review of the last five years (2021–2025), complemented by a descriptive case study that evaluates performance metrics before and after technological implementation, including causal analysis, qualitative data, and financial ROI analysis. The results demonstrate that the adoption of intelligent automation resulted in a 28% conversion rate in the automated channel via WhatsApp Business, significantly surpassing the industry average (2–3%), representing a performance 7 to 10 times superior to industry benchmarks. Exploratory causal analysis suggests that response speed (14 percentage points), contextual personalization (13 percentage points), and appropriate escalation (23 percentage points) are the primary mechanisms of success. Qualitative analysis reveals that 78% of customers prefer to start with the bot and escalate only if necessary, while human agents report greater professional satisfaction. Financial analysis demonstrates a payback period of 3–4 months and an IRR of 250–300%. The research concludes that the synergy between cognitive conversational agents and qualified human teams not only reduces operational costs by up to 60%, but also substantially elevates customer satisfaction levels (CSAT), retention (30–35% elevation in lifetime value), and revenue generation, establishing a new paradigm of competitive efficiency for the health and wellness services segment in the digital economy.
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@article{Peloso2026IMPACT,
title = {THE IMPACT OF ARTIFICIAL INTELLIGENCE-POWERED CHATBOTS ON OPERATIONAL EFFICIENCY AND CUSTOMER EXPERIENCE: A SYSTEMATIC LITERATURE REVIEW AND CASE STUDY IN THE FITNESS INDUSTRY},
author = {Bruna Accioly Pereira Peloso},
journal = {Journal of Interdisciplinary Debates},
year = {2026},
doi = {10.51249/jid.v7i01.3038},
url = {https://doi.org/10.51249/jid.v7i01.3038}
}FAQ
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