KaraGPT : personalized fashion through AI-driven business intelligence / Nour Wehbe.

Format:

Book

Author/Creator:

Wehbe, Nour, author.

Series:

SAGE business cases.

SAGE business cases

Language:

English

Subjects (All):

Artificial intelligence--Business applications--Case studies.

Artificial intelligence.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2026.

Summary:

This case examines how Kara, a global fashion brand, implemented AI-driven business intelligence and generative AI (Gen AI) through the development of KaraGPT-a natural language shopping assistant that delivers personalized outfit suggestions in real time. Students will consider whether Kara should scale KaraGPT globally, pause to refine its personalization capabilities, or limit its rollout due to ethical and contextual risks. The case illustrates how AI technologies such as machine learning, natural language processing (NLP), and real-time analytics are integrated within a unified business intelligence platform. In addition to exploring technical integration, the case invites students to analyze customer behavior data, assess functional design flaws, examine ethical concerns such as bias and transparency, and consider long-term governance strategies. Students will explore both the opportunities and limitations of applying Gen AI to customer-facing use roles. In doing so, they will be encouraged to apply analytical tools and conceptual frameworks such as ethical AI principles, explainability models, and business intelligence maturity frameworks to critically evaluate KaraGPT's implementation and support decision making.

Notes:

Description based on XML content.

ISBN:

979-83-488-4789-0

OCLC:

1569209147

Publisher Number:

T300644