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This paper presents a framework for micro-market analytics that enhances precision in business expansion by integrating diverse data sources and machine learning techniques. The proposed model generates a Market Potential Score to identify high-potential locations for retail expansion, validated through a hypothetical case study in Coimbatore, India. The framework aims to reduce investment risks and improve decision-making through an interactive visualization dashboard.

Author

deepak.statics

Language

EN