Artificial Intelligence can stop hunger

About Solution

Our team is a mixture of weather scientist, logistics expert and expert on the ground. Our scientist Andreas Schlueter, doing his research on usage of Artificial Intelligence for forecasting food-deficit areas at Stanford University, provides the information where food-deficit regions appear due to a lack of rainfall.

By using his information, our Social business based in rural Tanzania organizes efficient supply chains to his partners in Burundi, East Congo and Zambia to improve food price stability. For instance, if the forecasts show strong signs that Zambia receives low rainfall, our Social business starts purchasing and storing maize in Tanzania to overcome the supply gap that Zambia causes to its neighboring countries.

We are in the growth stage looking to expand our approach into the region building up efficient staple food supply chains to regions that are seasonally undersupplied by food due to weather conditions.

To tackle the increased variability in rainfalls due to climate change with the harsh consequences to the poorest rural communities, Artificial intelligence logic is applied for the most appropriate and precise information. The better the forecasts are, the less affected will be whole communities within East and Southern Africa. We are sure that our solution is a break
through approach in combination with our food trade experience since 2014.



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