Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency

This article explores the potential application of artificial intelligence (AI) technologies to enhance the operational efficiency of small and micro-enterprises (SMEs) in Russia. The aim of the study is to generalize experience and develop recommendations. Considering the limited resources and specificity of SME activities, the authors examine the challenges faced by these enterprises, as well as the broader technological context. Utilizing computer technologies and data analysis, the authors extracted descriptions of SME representatives’ experiences from the russian professional social network TenChat. The extracted algorithmic themes were expertly transformed into directions for the application of AI technology and formed the basis for the development of practical recommendations. The study formulated conclusions on possible directions for the application of AI technologies, including marketing and customer service, automation and optimization of routine tasks, data analysis, and process optimization. The developed recommendations include strategic decisions, AI reactivity, team management, operational activity provisioning, and data management. The results of the study are of interest to entrepreneurs, SME managers, and researchers seeking to enhance business efficiency through AI technologies.

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Publication Details

Journal
Computational nanotechnology
Published
2024-10-15
DOI
https://doi.org/10.33693/2313-223x-2024-11-5-64-77
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency

Глеб Кузьмин, V.V. Ignatova
Computational nanotechnology
Big Data and Business Intelligence
article

Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency

Глеб Кузьмин, V.V. Ignatova
article en

Abstract

This article explores the potential application of artificial intelligence (AI) technologies to enhance the operational efficiency of small and micro-enterprises (SMEs) in Russia. The aim of the study is to generalize experience and develop recommendations. Considering the limited resources and specificity of SME activities, the authors examine the challenges faced by these enterprises, as well as the broader technological context. Utilizing computer technologies and data analysis, the authors extracted descriptions of SME representatives’ experiences from the russian professional social network TenChat. The extracted algorithmic themes were expertly transformed into directions for the application of AI technology and formed the basis for the development of practical recommendations. The study formulated conclusions on possible directions for the application of AI technologies, including marketing and customer service, automation and optimization of routine tasks, data analysis, and process optimization. The developed recommendations include strategic decisions, AI reactivity, team management, operational activity provisioning, and data management. The results of the study are of interest to entrepreneurs, SME managers, and researchers seeking to enhance business efficiency through AI technologies.

Computational nanotechnologyVol. 11(5)
MIREA - Russian Technological University (RU)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency — Глеб Кузьмин, V.V. Ignatova · Computational nanotechnology (2024) | TGRS Research Map | TGRS