Commercial burglary poses a significant threat to economic stability and public safety in Mexico, impacting businesses of all sizes, particularly micro-businesses. This article explores the development of police strategies aimed at preventing commercial burglary by leveraging publicly available data. Drawing upon theories of environmental criminology, routine activity, and social disorganization, we identify key socioeconomic and environmental factors that contribute to the spatial patterns of commercial burglary. Through a methodological approach involving spatial analysis and composite index construction, we identify areas of heightened vulnerability to this crime. The findings highlight the importance of data-driven, localized interventions to enhance police effectiveness and ultimately reduce victimization. This research provides a framework for Mexican law enforcement agencies to implement proactive, intelligence-led policing models to safeguard commercial establishments.