A study on Bridging gap between technology (AI collaboration) with local markets

Rutuja Chordiya

Shubham Chaskar

Thakur College of Engineering and Technology. Kandivali (E)

Guide Nane:- Dr. Sunita Yadav

Abstract : The rapid growth of Artificial Intelligence (AI) has changed modern business practices. Still, its use in local markets and small businesses is limited. This study aims to connect AI technologies with local market operations. It explores how AI collaboration can improve efficiency, customer engagement, and competitiveness for local businesses. The research looks at how AI tools like data analytics, chatbots, digital payment systems, personalized marketing, and inventory management can fit into traditional market structures without undermining their core values. The study uses a mixed-method approach. It combines secondary data from existing literature with primary data collected through surveys and interviews with local shop owners and consumers. It analyzes key challenges such as low digital literacy, high implementation costs, infrastructure issues, and resistance to change. The research also highlights the opportunities that AI provides for better decision-making, supply chain optimization, understanding customer behaviour, and expanding market reach through digital platforms. The findings suggest that working together to adopt AI, using affordable tools, government support, training programs, and partnerships with tech providers, can significantly close the technology gap in local markets. The study concludes that AI collaboration is not meant to replace traditional business models. Instead, it aims to strengthen them, promoting sustainable growth and resilience in a more digital economy. This research offers valuable insights for policymakers, technology developers, and local entrepreneurs looking for inclusive and balanced technological development.