The Problem: Complex Landscape

The rise of consumption in emerging economies is one of today's most critical trends, particularly in regions like Indonesia, the Philippines, Malaysia, Nigeria and Latin America. These areas, with over 3 billion consumers and economies, represent 50.4% of Global GDP and are the key to long-term success for global brands. Yet, the retail landscape remains fragmented, posing persistent challenges that limit efficiency, transparency, and scalability. Understanding these obstacles is critical to unlocking the full potential of retail ecosystems in these regions.

Lack of Data: Retail in emerging mark ets suffers from fragmented, untracked data, limiting visibility into product performance and ROI.
Fragmented Channels: While the rise of Modern Trade (MT) channels has boosted sales volumes for FMCG companies, traditional retail remains dominant. Millions of small, family-owned stores continue to shape the retail landscape, necessitating the establishment of omnichannel strategies more essential than ever.
Inefficient Manual Workflows: Manual processes dominate inventory management, campaign validation, and consumer engagement, hindering scalability.
Disconnected Retail Ecosystems: Brands, merchants, and consumers operate in silos, preventing collaboration and shared insights.
Unfair Data Ownership: Data contributors, such as merchants and consumers, often do not benefit from the valuable data they provide.
Scalability and Adaptability: Many retail technologies are not tailored to the unique needs of diverse, rapidly evolving markets. The lack of adaptable solutions limits growth and responsiveness to local dynamics.

These themes are influencing the sector, causing significant damage such as: revenue loss, failed marketing strategies, and weak in-store execution, often exacerbated by scarcity of modern AI solutions and strong competition.

Research by GRMA (Global Retail Marketing Association) reveals that over 90% of a retail marketing campaign's effectiveness is lost between its conceptualization at HQ and its execution in stores.

This leads to fractures in global supply chains and prevents merchants and brands from meeting customer demand effectively.

To address these challenges, a new approach is needed — one that leverages the power of data, blockchain, and artificial intelligence to create a holistic data ecosystem that benefits all stakeholders.

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Lack of Data: Retail in emerging mark ets suffers from fragmented, untracked data, limiting visibility into product performance and ROI.
Fragmented Channels: While the rise of Modern Trade (MT) channels has boosted sales volumes for FMCG companies, traditional retail remains dominant. Millions of small, family-owned stores continue to shape the retail landscape, necessitating the establishment of omnichannel strategies more essential than ever.
Inefficient Manual Workflows: Manual processes dominate inventory management, campaign validation, and consumer engagement, hindering scalability.
Disconnected Retail Ecosystems: Brands, merchants, and consumers operate in silos, preventing collaboration and shared insights.
Unfair Data Ownership: Data contributors, such as merchants and consumers, often do not benefit from the valuable data they provide.
Scalability and Adaptability: Many retail technologies are not tailored to the unique needs of diverse, rapidly evolving markets. The lack of adaptable solutions limits growth and responsiveness to local dynamics.

Research by GRMA (Global Retail Marketing Association) reveals that over 90% of a retail marketing campaign's effectiveness is lost between its conceptualization at HQ and its execution in stores.

This leads to fractures in global supply chains and prevents merchants and brands from meeting customer demand effectively.