The Effectiveness of AI Chatbots in Business

Against the backdrop of digital business transformation, the present article delves into the efficacy of AI chatbots as a mechanism for enhancing sales on social media platforms. The relevance of this study is underscored by the rapid expansion of e-commerce and the imperative to refine marketing channels to sustain competitive advantage within the digital landscape. The purpose of the research is to quantify the chatbots’ influence on key business metrics and to form an integral effectiveness index of their implementation. The methodology employed involves the calculation of an Integral Efficiency Index (IEI) through the application of weighting factors, normalization of business indicators to unify their scale, and the utilization of quantitative analysis alongside mathematical modeling techniques to interpret the results obtained. The study findings reveal that the use of AI chatbots leads to a 67% increase in sales, a 55% increase in qualified leads, and a 61% increase in staff productivity. The Integral Efficiency Index stands at 56.825%, signifying a substantial degree of synergy among the various components of efficiency. This study indicates that chatbots effectiveness is contingent upon the technology utilized and their integration within a company's operational processes. The developed IEI methodology facilitates a quantitative evaluation of chatbot implementation efficacy while also identifying growth areas for further technological interventions. The scientific novelty of the study lies in the development and testing of an integral index of AI chatbot effectiveness for a comprehensive assessment of the impact of technology on business processes.

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Publication Details

Journal
Theoretical and Practical Research in Economic Fields
Published
2025-09-30
DOI
https://doi.org/10.14505/tpref.v16.3(35).08
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Effectiveness of AI Chatbots in Business

Sergiy Spivakovskyy, Volodymyr Samchuk, Alina Ohotina, Kostyantin MILONUSHKIN et al.
Theoretical and Practical Research in Economic Fields
AI in Service Interactions
article

The Effectiveness of AI Chatbots in Business

Sergiy Spivakovskyy, Volodymyr Samchuk, Alina Ohotina, Kostyantin MILONUSHKIN, A. S. FOMIN
article en

Abstract

Against the backdrop of digital business transformation, the present article delves into the efficacy of AI chatbots as a mechanism for enhancing sales on social media platforms. The relevance of this study is underscored by the rapid expansion of e-commerce and the imperative to refine marketing channels to sustain competitive advantage within the digital landscape. The purpose of the research is to quantify the chatbots’ influence on key business metrics and to form an integral effectiveness index of their implementation. The methodology employed involves the calculation of an Integral Efficiency Index (IEI) through the application of weighting factors, normalization of business indicators to unify their scale, and the utilization of quantitative analysis alongside mathematical modeling techniques to interpret the results obtained. The study findings reveal that the use of AI chatbots leads to a 67% increase in sales, a 55% increase in qualified leads, and a 61% increase in staff productivity. The Integral Efficiency Index stands at 56.825%, signifying a substantial degree of synergy among the various components of efficiency. This study indicates that chatbots effectiveness is contingent upon the technology utilized and their integration within a company's operational processes. The developed IEI methodology facilitates a quantitative evaluation of chatbot implementation efficacy while also identifying growth areas for further technological interventions. The scientific novelty of the study lies in the development and testing of an integral index of AI chatbot effectiveness for a comprehensive assessment of the impact of technology on business processes.

Theoretical and Practical Research in Economic FieldsVol. 16(3)
Higher Colleges of Technology (AE), State University of Trade and Economics (UA), National University "Yuri Kondratyuk Poltava Polytechnic" (UA), Interregional Academy of Personnel Management (UA), EKA University of Applied Sciences (LV)
Openalex Percentile: Top 86%
AI in Service Interactions
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