Enhancing Business Strategies with Advanced Location Intelligence Techniques: A Multifaceted Approach Using GIS and Python

Authors

  • Arun Chandramouli USA Author

DOI:

https://doi.org/10.47363/tmvcdv19

Keywords:

Location Intelligence, Geographic Information Systems (GIS), Python Programming, Business Strategy, Service Optimization, Retail Location Analysis, Infrastructure Planning, Data Analysis, Geospatial Analytics, Customer Segmentation, Demographic Studies, Strategic Decision-Making, Service Coverage, Retail Expansion, Logistics Optimization, Healthcare Planning, Urban Development, Spatial Data Analysis

Abstract

This paper delves into the transformative impact of advanced location intelligence (LI) techniques on business strategy formulation across several critical areas, such as optimizing service coverage, determining strategic retail locations, planning network infrastructure, and analyzing market penetration. By harnessing the capabilities of geographic information systems (GIS) and Python for advanced analytics, we underscore the significance of LI in informing strategic decisions, elevating customer experiences, and achieving a competitive market edge. Our approach employs a holistic methodology that includes rigorous data quality checks, in-depth geospatial analysis, and detailed demographic assessments, enriched by practical case studies. This synthesis offers valuable, actionable insights for businesses aiming to leverage LI in strategic planning, thereby driving growth and operational efficiency.

Author Biography

  • Arun Chandramouli, USA

    Arun Chandramouli, USA. 

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Published

2023-08-30

How to Cite

Enhancing Business Strategies with Advanced Location Intelligence Techniques: A Multifaceted Approach Using GIS and Python. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(3), 1-4. https://doi.org/10.47363/tmvcdv19

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