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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data-Driven Store Design: Floor Visualization for Informed Decision Making

A. Bhuvanesh, Ramya Thatikonda, Reshmi Tatikonda, Venkata Saiteja Kalluri et al.
Big Data and Business Intelligence
article

Data-Driven Store Design: Floor Visualization for Informed Decision Making

A. Bhuvanesh, Ramya Thatikonda, Reshmi Tatikonda, Venkata Saiteja Kalluri, Ragupathi Thota, Sri Meghana Potluri
article en

Abstract

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.

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)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
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.