Uganda’s informal service sector—employing 70% of working Ugandans—suffers from severe market fragmentation characterized by trust deficits and information asymmetry. We developed ClickToAssist, an AI-powered platform engineered specifically for Uganda’s context. Through field testing across Kampala with 250 verified service providers and 1,200 customers, we implemented community-based verification and culturally intelligent matching algorithms incorporating neighborhood reputation networks, language compatibility, and local context. Results demonstrated an 87% reduction in service search time (from 3.2 days to 4.7 hours), 76% higher customer satisfaction, and a 63% decrease in income variance for service providers. Our AI matching achieved 92% accuracy by addressing contextual factors global platforms overlook. This research demonstrates that contextually intelligent technology can effectively transform fragmented service markets in the Global South.
