AI in consumer-facing business: How business leaders can leverage data for competitive advantage

This article examines how artificial intelligence transforms decision-making processes in consumer-facing businesses, creating sustainable competitive advantages. The evolution of data from a record-keeping necessity to a strategic asset has fundamentally altered how organizations conceptualize competition. Advanced AI capabilities enable sophisticated customer segmentation, real-time sentiment analysis, and predictive demand forecasting that surpass traditional market research methods. Personalization at scale represents a paradigm shift in customer experience, though it requires balancing automation with authentic connections while addressing privacy concerns. In pricing and inventory management, AI-powered systems optimize decisions with unprecedented precision, while also enhancing supply chain visibility and resilience. Operational excellence through AI implementation demands enterprise-wide transformation of core business processes, performance metrics, and resource allocation models. Strategic implementation requires aligning AI initiatives with corporate objectives, building robust data governance frameworks, establishing ethical guidelines, and developing effective human-AI collaboration models. Organizations that successfully integrate these capabilities create defensible market positions through continuous learning and proprietary data accumulation.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-05-07
DOI
https://doi.org/10.30574/wjarr.2025.26.2.1603
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI in consumer-facing business: How business leaders can leverage data for competitive advantage

Parul Purwar
World Journal of Advanced Research and Reviews
Big Data and Business Intelligence
article

AI in consumer-facing business: How business leaders can leverage data for competitive advantage

Parul Purwar
article en

Abstract

This article examines how artificial intelligence transforms decision-making processes in consumer-facing businesses, creating sustainable competitive advantages. The evolution of data from a record-keeping necessity to a strategic asset has fundamentally altered how organizations conceptualize competition. Advanced AI capabilities enable sophisticated customer segmentation, real-time sentiment analysis, and predictive demand forecasting that surpass traditional market research methods. Personalization at scale represents a paradigm shift in customer experience, though it requires balancing automation with authentic connections while addressing privacy concerns. In pricing and inventory management, AI-powered systems optimize decisions with unprecedented precision, while also enhancing supply chain visibility and resilience. Operational excellence through AI implementation demands enterprise-wide transformation of core business processes, performance metrics, and resource allocation models. Strategic implementation requires aligning AI initiatives with corporate objectives, building robust data governance frameworks, establishing ethical guidelines, and developing effective human-AI collaboration models. Organizations that successfully integrate these capabilities create defensible market positions through continuous learning and proprietary data accumulation.

World Journal of Advanced Research and ReviewsVol. 26(2)
Openalex Percentile: Top 84%
Big Data and Business Intelligence
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.