Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)

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Leveraging GIS and Location Intelligence for Optimizing Industrial and Food Business Expansion

Authors
Aditya Deshmukh1, *, Ketaki Katre1, Dinesh Rathod1, Mayank Mehta1, Tanisha Adhav1, Akshay Singhal2
1Department of Artificial Intelligence and Data Science, Marathwada Mitramandal’s College of Engineering, Pune, 411052, Maharashtra, India
2Dista Technology Pvt. Ltd., Pune, 411052, Maharashtra, India
*Corresponding author. Email: aditya27deshmukh@gmail.com
Corresponding Author
Aditya Deshmukh
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-831-8_42How to use a DOI?
Keywords
Geographic Information System; Location Intelligence; DBSCAN-based spatial clustering; Multi-Criteria Decision Analysis; Decision Support System
Abstract

This research presents a Geographic Information System (GIS)-based decision-support platform for optimizing site selection and expansion strategies across food and industrial sectors. The system integrates spatial and non-spatial data — such as foot traffic, demographic density, infrastructure access, and competitor presence — to deliver actionable insights. It employs DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and Multi-Criteria Decision Analysis (MCDA) to identify high-potential locations at granular geographic scales. A real-world use case demonstrates the platform’s ability to reduce delivery costs, improve coverage, and support data-driven growth in urban markets. Beyond commercial applications, the platform enables more equitable service distribution, contributing to improved quality of life in rapidly developing cities. This research illustrates how location intelligence can bridge technological innovation and inclusive urban development.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
Series
Advances in Health Sciences Research
Publication Date
31 August 2025
ISBN
978-94-6463-831-8
ISSN
2468-5739
DOI
10.2991/978-94-6463-831-8_42How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aditya Deshmukh
AU  - Ketaki Katre
AU  - Dinesh Rathod
AU  - Mayank Mehta
AU  - Tanisha Adhav
AU  - Akshay Singhal
PY  - 2025
DA  - 2025/08/31
TI  - Leveraging GIS and Location Intelligence for Optimizing Industrial and Food Business Expansion
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 347
EP  - 354
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_42
DO  - 10.2991/978-94-6463-831-8_42
ID  - Deshmukh2025
ER  -