Introduction
Last updated
Last updated
By 2025, emerging markets will drive an unprecedented economic surge, with annual consumption expected to reach $30 trillion—marking one of the greatest expansion opportunities in modern economic history.
Despite global retail disruptions and economic shifts, countries like Indonesia, the Philippines, Malaysia and Pakistan, along with others across Latin America and Southeast Asia, continue to show remarkable resilience, with . In 2024, Indonesia alone reached an estimated GDP growth of $1,490 billion, based on projections from the .
As these economies expand, their influence on the global retail sector, supply chains, and consumption trends grows. However, despite rapid digitization, businesses and individuals still face inefficiencies due to manual processes, lack of modern technological implementation, fractured data and the absence of a comprehensive solution to improve their financial well-being. In addition, limited consumer insights and lack of visibility into product performance leads to lost sales and massive waste, despite a growing demand for sustainability in emerging markets, where of consumers are committed to purchasing socially responsible and sustainable products.
is pioneering the world’s first Large Vision Model (LVM) designed specifically for the retail sector, with an initial focus on Fast-Moving Consumer Goods (FMCG) in emerging markets. Our mission is to make invisible commerce visible, transforming fragmented, unstructured retail data into actionable insights, creating a decentralized data economy that connects consumers, nano-merchants and more than 100 global and local FMCG brands. Through the intricate combination of AI-driven tools, blockchain technology, and tokenized incentives, Libera empowers consumers and merchants to monetize their data, while providing brands with valuable insights that boost sales, enhance consumer engagement and business models. This lightpaper outlines how Libera’s innovative ecosystem is reshaping retail in emerging markets.
