The digital transformation of small retail businesses is crucial in today's competitive market. Many local retailers lack access to modern tools for managing inventory, processing orders, and integrating digital payments. Famocop is designed as a super-application that provides shop owners and customers with a seamless platform for digital commerce, streamlining everyday transactions. Implementation led to a 40% increase in average revenue for participating retailers and a 50% reduction in order processing time. The application integrates machine learning algorithms for personalized recommendations, demand forecasting, and dynamic pricing strategies. This research paper discusses the underlying problem, system architecture, workflow, algorithms used, challenges faced during development, future enhancements, and the practical impact of implementing Famocop. The study concludes that adopting such technology enhances business efficiency, improves customer experience, and accelerates local market growth.
Retail Digitalization, Inventory Management, Order Processing, Mobile Commerce, Digital Payment Integration, AI in Retail, Hyperlocal Commerce.
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