AI-BASED MANAGEMENT DECISION-MAKING AND DATA ANALYSIS IN MARKETING

The article discusses the use of artificial intelligence (AI) and data Science technologies for making managerial decisions in marketing. The article examines cases from Russia, the CIS countries, the USA, China and Japan, demonstrating how companies use predictive analytics, content personalization, advertising optimization and other AI solutions to improve the effectiveness of marketing strategies. In Russia and the CIS, Sberbank, Wildberries, and Kaspi Bank are key examples, using AI for transaction analysis, recommendation systems, and credit scoring. In the United States, companies such as Amazon and Netflix are using machine learning to dynamically price and personalize content. In China, Alibaba and Tencent are integrating AI into supply chain management and targeted advertising, while in Japan, Rakuten and Toyota are optimizing email marketing and demand forecasting using Data Science tools. The article emphasizes that the introduction of AI and Big Data allows businesses to increase the accuracy of marketing decisions, reduce costs and improve customer experience. The development prospects include further automation of processes and in-depth analysis of consumer behavior.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.04.05.012
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-BASED MANAGEMENT DECISION-MAKING AND DATA ANALYSIS IN MARKETING

Daniil O. Anofrikov
1 citations
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Big Data and Business Intelligence
2.28
article

AI-BASED MANAGEMENT DECISION-MAKING AND DATA ANALYSIS IN MARKETING

Daniil O. Anofrikov
article en
1 citations

Abstract

The article discusses the use of artificial intelligence (AI) and data Science technologies for making managerial decisions in marketing. The article examines cases from Russia, the CIS countries, the USA, China and Japan, demonstrating how companies use predictive analytics, content personalization, advertising optimization and other AI solutions to improve the effectiveness of marketing strategies. In Russia and the CIS, Sberbank, Wildberries, and Kaspi Bank are key examples, using AI for transaction analysis, recommendation systems, and credit scoring. In the United States, companies such as Amazon and Netflix are using machine learning to dynamically price and personalize content. In China, Alibaba and Tencent are integrating AI into supply chain management and targeted advertising, while in Japan, Rakuten and Toyota are optimizing email marketing and demand forecasting using Data Science tools. The article emphasizes that the introduction of AI and Big Data allows businesses to increase the accuracy of marketing decisions, reduce costs and improve customer experience. The development prospects include further automation of processes and in-depth analysis of consumer behavior.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 4/5(157)
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.