AI för ökad kundanpassning: En kvalitativ studie om adoptionen av AI i svenska detaljhandelsföretag
Information
Författare: Emelie Åsbrink, Svante SundbergBeräknat färdigt: 2024-06
Handledare: Emil Wengström
Handledares företag/institution: CGI
Ämnesgranskare: Göran Lindström
Övrigt: -
Presentationer
Presentation av Emelie ÅsbrinkPresentationstid: 2024-06-03 16:15
Presentation av Svante Sundberg
Presentationstid: 2024-06-03 17:15
Opponenter: Vilma Hägg Edelönn, Alice Gardell
Abstract
In recent years, the rapid digitalization of the retail sector has pushed customers’ expectations for
personalized digital experiences. Previous researchers suggest that artificial intelligence (AI) has
the potential to help retailers to meet this emerging demand, meanwhile many companies still
struggle to fully harness its potential. Therefore, this study aims to investigate how retail
companies can adopt and utilize AI to create value for their customers through a personalized
customer experience. To fulfill this purpose, the adoption of AI solutions among five Swedish retail
companies was analyzed. The data collection involved semi-structured interviews with
respondents from the retail companies, supplemented by insights from interviews with AI experts.
The findings show that AI has the potential to enhance personalization, leading to increased
relevance in communication, products that better match customer’s needs and an improved
customer experience. Currently, retailers see advantage in more traditional machine learning
methods for product recommendations, prediction of customer behavior and gaining insights
about their customers. Looking forward, generative AI has the potential for further personalization
with AI-assistants and tailored content. Two key factors were identified when implementing AI for
personalization: the establishment of clear goals and metrics prior to investment and involving the
customer in how their data is used to address privacy concerns. Furthermore, the study highlights
critical factors shaping the adoption of AI in retail companies, suggesting that investments in
technical infrastructure, skills development and leadership support are essential. Additionally,
resource availability and the appointment of so-called champions who spread knowledge about
AI in the organization, positively influence companies’ AI adoption capabilities.
For further research, the growing use of generative AI requires further investigation into its
adoption and applications. Furthermore, this study explores AI-driven personalization and its
customer value from a companies’ point of view, therefore this study suggests further research
from a consumer perspective.