As easy as 1-2-3
SONAE is a top retailer in Portugal with a revenue of $5.7 Billion. Optimus Price helped reduce safety stock by predicting store sales with up to 93% accuracy.
AFM discovered that they were losing 3,690€/month due to incorrect prices. Optimus Price also predicted Black Friday sales with a 94% accuracy for 10,542 SKU.
Ulabox increased profits single-digit on their long tail thanks to pricing experiments for products with little sales.
Optimus Price performed a demand analysis to optimize the supply chain. Predictions for seasonal products reached 90% accuracy by using a time-series kernel.
I was surprised to see sales for very high margins
Your predictions are just better than the ones we get from Oracle