Fix chronic stock-outs and expiries with AI
AI demand forecasting for African retailers to increase revenue and minimize waste
Retailers leave money on the table
African pharmacies, supermarkets and F&B retailers face chronic stock-outs and overstocking.
Not only do stock-outs lead to lower revenues, but customers are likely to churn from limited product range and availability. Overstocking, on the other hand, results in higher waste and a damaged brand from expired products.
Predicting the future is hard
Stock-outs and overstocking are driven by manual forecasting or rolling averages for procurement. A human brain can’t keep track of thousands of products, let alone predict demand accurately. These approaches don’t account for how product demand changes with season, weather, discounts and other factors.
Unfortunately, existing AI solutions take 3-6 months to implement and are expensive due to support from large teams of data scientists and engineers
Meet ZOPA, your fast and affordable AI demand forecasting engine
01
Upload data
Upload your historical product sales and inventory data onto our platform
02
Sit back and relax
Let ZOPA 254’s Data Ingestor clean your data, and our AI Engine train and test multiple models to forecast demand per product
03
Receive forecasts
Receive demand forecasts for each product with high prediction accuracy
04
Order with ease
Order the right number of each product at the right time to prevent stock-outs and overstocking
Increase revenue
Minimise waste
