What we do

Case study

Dynamic Pricing

Maximizing Revenue and Profitability by Creating Effective Pricing Strategies Based on Market Conditions and Competitor Analysis

Our solution

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.

The result

Our dynamic pricing module can lead to a full-price sale-through of 80% or more in individual seasons.

Demand elasticity modeling

Pricing optimization

Real-time pricing

Price competitiveness

Revenue maximization