Data-Driven Store Design: Floor Visualization for Informed Decision Making
The article examines how retail firms could use information-driven design to improve consumer's encounters with their products, streamline business processes, and stay on par with global competitors. Store design and how data affect customer behaviour analysis, personalised marketing, smart stock control, and flexible shop layouts. Also, this research discusses the potential challenges and pitfalls that retailers are expected to experience during their data-driven design path. Retailers are finally urged to develop a specific data strategy, invest in data infrastructure, improve data quality, promote a data-driven culture, and track progress with various KPIs. Retailers can then overcome this path to gain the full benefits of data-driven design towards a more innovative and customer-centric shopping experience.
Authors
- A. Bhuvanesh (ORCID: https://orcid.org/0000-0002-2842-9680)
- Ramya Thatikonda (ORCID: https://orcid.org/0009-0001-1192-778X)
- Reshmi Tatikonda
- Venkata Saiteja Kalluri
- Ragupathi Thota
- Sri Meghana Potluri
Institutions
- Jawaharlal Nehru Technological University, Hyderabad (IN)
- University of the Cumberlands (US)
- University of Central Missouri (US)
- Department of Science and Technology and Biotechnology (IN)
- Salesforce (United States) (US)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/apsit63993.2025.11085151
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00