AI for Irregular Markets
ImpactResearch & innovation
StatusResearch
FocusMarkets
TypeApplied R&D
Overview
Conducting applied research on using AI/ML in irregular and unorganized markets - sectors with fragmented data, informal transactions, and limited digitization. Focus on price discovery, demand forecasting, and market intelligence.
The Challenge
Irregular markets (agriculture, informal retail, unorganized services) lack the data infrastructure for traditional analytics. Existing AI solutions assume clean, structured data.
The Solution
Developing novel approaches for working with sparse, noisy data from irregular markets. Combining satellite imagery, alternative data sources, and local knowledge for insights.
Key Results
Alternative data integration
Sparse data ML techniques
Market intelligence frameworks
Tech Stack
PythonSatellite DataAlternative DataMLTime Series