Inadequate B2B & B2C linkages between producers (farmers) and potential and sustainable markets especially at the peak of harvesting season (for both food, cash crops and agricultural inputs) in Tanzania Agri food sector. Agricultural markets access as reflected from other countries is facing market failure challenge. Inadequate of collective and sustainable data from demand side (intermediary customers & traders) especially from the peak of the post-harvest season slowing down mobility of commodities. We proposal KILIMOGATE; a database & market driven system using machine learning technology to link producers and potential markets in agri-food business sector through B2B and B2C. The system will be using auction model in regional markets in Tanzania including Kibaigwa (Dodoma) and Songea (Ruvuma) for maize trading through Tarakea (Kenya) & Tunduma boarder.
Unique or innovative: Online agricultural marketing through auction model (B2B/B2C), using Machine learning tech
Sectors | Agribusiness |
Location | Morogoro, Tanzania |
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