Entre Locate: An Intelligent Business Location Recommendation System Based on Spatial Analytics and Data-Driven Decision Support

Abstract

Choosing the right location is one of the most important decisions for the success of a new business. Many entrepreneurs still rely on manual surveys and personal judgment, which can be time-consuming and inaccurate. This paper presents EntreLocate, a smart business location recommendation system designed to support entrepreneurs with data-driven insights. The system uses real-world location data to analyze existing business patterns and identify areas with high business potential. After cleaning and organizing the data, similar locations are grouped to highlight promising zones for new ventures. The results are displayed using interactive maps, making them easy to understand and interpret. In addition, EntreLocate includes a profit estimation feature that considers rental costs and other expenses to help users evaluate financial feasibility. Experimental results show that the proposed system effectively supports business owners in selecting suitable and profitable locations, offering a practical and scalable solution for modern business planning