DIGITAL TRANSFORMATION OF COMMODITY POLICY: THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA IN CREATING PERSONALIZED PRODUCTS

The significance of this topic arises from the rapid expansion of digital technologies, changing consumer preferences, and the need for companies to adapt to today's market dynamics. Tailoring products and services is essential for businesses to maintain their competitive edge. Digital transformation is a key trend in today's business environment. It affects every aspect of a company, from internal operations to how products are conceived. Employing innovative technologies such as artificial intelligence (AI) and Big Data allows businesses to enhance performance and deliver personalized offerings that cater to individual consumer demands. These tools facilitate better demand forecasting, analysis of customer actions, and increased supply chain effectiveness. This research aims to explore how artificial intelligence and big data impact the digital shift in commodity policy. Specifically, it will investigate how these technologies assist in creating customized products that satisfy contemporary consumers, and how their application can reshape strategies for product development and marketing.This piece explores the theoretical principles underlying digital transformation in product policy. Special emphasis is placed on understanding product policy and adjusting it to digital advancements. The text also investigates how big data contributes to crafting personalized products. It focuses on incorporating big data into the process of creating tailored products. The part that AI and big data play in personalization overall is outlined. It assesses the possibilities and progress of digital transformation within commodity policy, specifically concerning trend prediction through AI and big data. The results regarding the digital transformation of commodity policy are provided, emphasizing how AI and big data influence the development of custom products, which provides significant practical benefits for businesses wanting to align their strategies with the current market and enhance customer relations.

Authors

Publication Details

Journal
Business Navigator
Published
2025-01-01
DOI
https://doi.org/10.32782/business-navigator.80-8
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
0.00
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article

DIGITAL TRANSFORMATION OF COMMODITY POLICY: THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA IN CREATING PERSONALIZED PRODUCTS

Діана Райко
Business Navigator
Economic and Technological Developments in Russia
article

DIGITAL TRANSFORMATION OF COMMODITY POLICY: THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA IN CREATING PERSONALIZED PRODUCTS

Діана Райко
article en

Abstract

The significance of this topic arises from the rapid expansion of digital technologies, changing consumer preferences, and the need for companies to adapt to today's market dynamics. Tailoring products and services is essential for businesses to maintain their competitive edge. Digital transformation is a key trend in today's business environment. It affects every aspect of a company, from internal operations to how products are conceived. Employing innovative technologies such as artificial intelligence (AI) and Big Data allows businesses to enhance performance and deliver personalized offerings that cater to individual consumer demands. These tools facilitate better demand forecasting, analysis of customer actions, and increased supply chain effectiveness. This research aims to explore how artificial intelligence and big data impact the digital shift in commodity policy. Specifically, it will investigate how these technologies assist in creating customized products that satisfy contemporary consumers, and how their application can reshape strategies for product development and marketing.This piece explores the theoretical principles underlying digital transformation in product policy. Special emphasis is placed on understanding product policy and adjusting it to digital advancements. The text also investigates how big data contributes to crafting personalized products. It focuses on incorporating big data into the process of creating tailored products. The part that AI and big data play in personalization overall is outlined. It assesses the possibilities and progress of digital transformation within commodity policy, specifically concerning trend prediction through AI and big data. The results regarding the digital transformation of commodity policy are provided, emphasizing how AI and big data influence the development of custom products, which provides significant practical benefits for businesses wanting to align their strategies with the current market and enhance customer relations.

Business Navigator(3(80))
Openalex Percentile: Top 80%
Economic and Technological Developments in Russia
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