AP23489233 "Constructing cyanobacterial hup-mutants and developing a cultivation technology for increased hydrogen production"

Relevance

The effectiveness of the project is manifested in several aspects that affect the development of the sharing economy and increase technological competitiveness. The results of the project are aimed at creating a platform for group purchases based on artificial intelligence and machine learning methods. This will not only increase the level of personalization and accuracy of offers, but also achieve more effective management of the pricing system, which in turn can lead to increased economic benefits for all participants in the process. The use of data analysis and dynamic pricing technologies in the platform will ensure flexibility and optimal supply management. This can lead to a significant increase in economic efficiency and sales growth, especially in the context of growing demand for consumer goods. The platform for group purchases also helps to increase the level of digital literacy and competencies of domestic specialists. New knowledge and experience in the field of artificial intelligence and big data will create a base for further scientific research and technology commercialization, which will strengthen the country's position in the digital economy. This approach provides an opportunity to introduce advanced models of the sharing economy, which can be used in various sectors, from retail to services, due to the flexibility and adaptability of the platform.

Purpose

Creating an intelligent group shopping system based on artificial intelligence (AI) technology, transforming the traditional way of shopping, making it more intelligent, interactive and personalized.

Expected and achieved results

A literary analysis and patent study of the issue of organizing a group purchase system based on the model of a shared consumption economy has been conducted, which laid the foundation for the creation of new business models and improvements to existing methods. The conceptual foundations for building a new business model of the sharing economy have been built, which opens up opportunities for personalized offers tailored to the needs of customer groups.

Research team members with their identifiers (Scopus Author ID, Researcher ID, ORCID, if available) and links to relevant profiles