The future of retail: How virtual assistants, personalized recommendations, and selfcheckout influence consumer purchase intention

Presenter(s)/Author(s)

Aiza Aziz Qureshi, SZABISTFollow

Abstract/Description

In the dynamic landscape of retail industry, the integration of AI-technologies emerges as a critical factor in enhancing customer experiences and influencing purchase intentions. this research investigates whether the integration of AI-technologies i.e., virtual assistants, personalized recommendations and self-checkouts, directly impacts the customer purchase intentions or primarily enhances customer engagement to drive purchase intentions. Drawing from a diverse sample of 385 respondents spanning Islamabad, Karachi and Hyderabad in Pakistan, characterized by varying demographics and psychographics, the research provides insights about the evolving retail environment. Utilizing Structural Equation Modeling (SEM) via SmartPLS, the hypotheses are rigorously tested to discern the relationships between AI-technologies and customer behaviors within the supermarket’s context. The findings underscore the pivotal role of AI-technologies in shaping customer behaviors and highlight the significance of fostering engagement strategies to amplify their influence on purchase intention. these insights provide valuable guidance for marketers seeking to align their strategies with global trends and effectively cater to evolving customer preferences, particularly in the burgeoning supermarkets sector. As this industry progresses towards maturity, understanding and leveraging the potential of AI-technologies becomes indispensable for sustaining customer loyalty and competitive advantage.

Track

Marketing

Session Number/Theme

2C: Marketing

Session Chair

Dr. Huma Amir ; Dr. Lakhi Muhammad

Start Date/Time

30-5-2024 3:25 PM

End Date/Time

30-5-2024 4:55 PM

Location

MCS – 5 AMAN CED Building

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May 30th, 3:25 PM May 30th, 4:55 PM

The future of retail: How virtual assistants, personalized recommendations, and selfcheckout influence consumer purchase intention

MCS – 5 AMAN CED Building

In the dynamic landscape of retail industry, the integration of AI-technologies emerges as a critical factor in enhancing customer experiences and influencing purchase intentions. this research investigates whether the integration of AI-technologies i.e., virtual assistants, personalized recommendations and self-checkouts, directly impacts the customer purchase intentions or primarily enhances customer engagement to drive purchase intentions. Drawing from a diverse sample of 385 respondents spanning Islamabad, Karachi and Hyderabad in Pakistan, characterized by varying demographics and psychographics, the research provides insights about the evolving retail environment. Utilizing Structural Equation Modeling (SEM) via SmartPLS, the hypotheses are rigorously tested to discern the relationships between AI-technologies and customer behaviors within the supermarket’s context. The findings underscore the pivotal role of AI-technologies in shaping customer behaviors and highlight the significance of fostering engagement strategies to amplify their influence on purchase intention. these insights provide valuable guidance for marketers seeking to align their strategies with global trends and effectively cater to evolving customer preferences, particularly in the burgeoning supermarkets sector. As this industry progresses towards maturity, understanding and leveraging the potential of AI-technologies becomes indispensable for sustaining customer loyalty and competitive advantage.