Our in-house demand forecasting module can predict sales on a daily and weekly basis. We keep track of the actual sales in real-time and predicted sales to maximize full-price sales
Our demand elasticity model recommends the optimal price change to achieve the full sale-through each SKU.
We maintain price competitiveness by normalizing the suggested price through an automated check on competitor prices.
Our dynamic pricing module can lead to a full-price sale-through of 80% or more in individual seasons.