Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195627,
author = {Rashmi Choudhary and Aryan Sandeep Bhekare and Sakshi Dattatray Jadhav and Shubham Deepak Jamdar and Prof. Vilas Jadhav},
title = {LOCALINSIGHTS: AREAWISE BUSINESS ANALYSIS},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {892-899},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195627},
abstract = {One of the most important and difficult choices for local business owners and entrepreneurs is choosing a suitable location. These decisions are often based on insufficient information,inadequate market knowledge, or personal intuition, which frequently leads to inadequate planning and financial setbacks. Despite the abundance of location-based and business-related data available, it is usually distributed across multiple platforms and presented in complex formats, making it difficult for non-technical users to comprehend and use efficiently. To overcome these limitations, this paper introduces Local Insight AI, a web-based decision support system designed to enhance and expedite the business location selection within the state of Maharastra. By mixing descriptive market scoring techniques with predictive machine learning models, the platforms create clear visual reports and comparative analyses across different regions.},
keywords = {Business Decision Support System, Location Intelligence, Geospatial Analysis, Artificial Intelligence, Machine Learning Model, LightGBM.},
month = {April},
}
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