Yamify: Reducing Food Waste and Optimizing Logistics in Central African Retail Networks
Yamify utilizes machine learning to help fresh food retailers in the DRC predict customer demand and reduce waste.
Siyanda. M
Senior technology journalist tracking ecosystem developments, investment flows, and software innovation hubs across the continent.
Published: 4 July 2026
Updated: 4 July 2026
Managing inventory in fresh food retail requires balancing availability with spoilage risk. In cities with challenging transport infrastructure like Kinshasa, this balance is even harder to maintain.
Yamify provides an inventory optimization engine that helps store managers forecast daily demand.
Demand Forecasting for Retail
The engine analyzes historical sales, local events, and weather forecasts to predict which products will sell, reducing over-ordering and waste.
Offline Data Management
To handle network outages, the app operates offline, storing transactions locally and syncing with cloud databases when connectivity is restored.
Learn more at yamify.com.
