Abstract

The globalization of digital entrepreneurship demands efficient systems that overcome linguistic and geographic barriers in market expansion. This study presents an integrated framework combining Smart Automation, Artificial Intelligence (AI) Agents, and Geographic Information Systems (GIS) to enhance cross-lingual communication and market localization. Using the Tongyi DeepResearch 30B A3B translation model, n8n automation workflows, and Python-based GIS visualization, the system enables real-time multilingual communication, automated data processing, and spatial decision-making for entrepreneurial growth. Multilingual datasets from the Global Entrepreneurship Monitor and OpenStreetMap were processed through a multi-layered architecture that links AI translation, automation pipelines, and GIS visualization modules. Evaluation metrics including BLEU, METEOR, and ROUGE-L confirmed high translation accuracy (up to 92.3%) across major language pairs, while automation improved workflow efficiency by 72% and reduced latency by 68%. GIS mapping further identified optimal business locations and linguistic clusters, supporting data-driven market localization. Results validate that integrating AI-driven translation, smart automation, and spatial analytics fosters innovation, enhances cross-cultural engagement, and strengthens entrepreneurial decision-making in global markets.

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