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Case Study: How Twiga Foods Reduced Waste by 30% Thanks to AI and Optimized Logistics

 

Twiga Foods, a leading Kenyan food distribution startup, faced a significant challenge: 40% post-harvest losses due to inefficient logistics and a lack of accurate demand data.

 

 

Approach

 

Implementation of a predictive algorithm based on sales history, weather, and local socioeconomic trends.

Optimization of delivery routes via a mobile platform connected to small businesses.

Training of partner farmers in best practices for packaging and inventory management.

 

Results

 

     ✅ 30% reduction in food waste

     ✅ 25% increase in farmers' income

     ✅ Guaranteed delivery in less than 12 hours for 90% of orders

 

"AI has enabled us to move from reactive to predictive logistics, serving the entire value chain."
—Peter Njonjo, CEO of Twiga Foods (TechCabal, 2023).

 

Lesson for your business

 

Optimization is no longer limited to tools; it requires a systemic vision that integrates suppliers, data, and end customers. Innovation often emerges where constraints are greatest—like in Africa.