AI-based task distribution: a comparison of skill-based and traditional approaches

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Authors: R. V. Slobodian, I.V. Bogach
Cited by: 0

Abstract

The paper presents a practical solution for intelligent task distribution using AI by matching the skill requirements of a task with the skills of available agents. A comparative analysis with traditional task distribution methods is provided. Testing results confirm that the proposed solution delivers high accuracy and adaptability, making it suitable for modern companies seeking an approach that is easy to implement and flexible in use.

Fields of Study & Subjects

AI and HR Technologies Mobile Crowdsensing and Crowdsourcing Artificial Intelligence Applications

Publication details

Journal / source
Optoelectronic Information-Power Technologies
Volume
50
Issue
2
Pages
340–347
Publication date
12 January 2026
Language
EN