How it Works
Regression model leverages historic sales data to create a demand estimation engine
Dynamic algorithm aggregates several pricing variables to set an optimal price by SKU where profit is maximized
Self-learning algorithm continuously recalculates variables to adjust to a dynamic marketplace
Key variables include seasonality, competitor prices, historic sales volumes,
demand elasticity, and profitability triggers.