Retailers using Wiser see a


Increase In
Sales Revenue


Increase In
Conversion Rate


Increase In
Bottom-Line Profit

How it Works


Estimated demand

Regression model leverages historic sales data to create a demand estimation engine


Maximize profit

Dynamic algorithm aggregates several pricing variables to set an optimal price by SKU where profit is maximized


Machine learning

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.

Advanced Analytics

  • WiseDynamic automatically analyzes your
    data and feeds it back into your repricing
    algorithm to keep it optimized
  • See the revenue results in real time to
    justify the impact

Price Optimization

  • WiseDynamic finds the pricing sweet spots enabling retailers to easily optimize product pricing
  • Each item is priced optimally according to conversion rates, competitors, traffic to SKU, price elasticity, demand curves, and more

Choose Your Strategy

  • Maximize Profit
  • Maximize Revenue while
    Maintaining Profit Margin
  • Maximize Revenue without
    Maintaining Margin

Machine Learning

  • No need to set pricing rules; put your trust in our dynamic pricing algorithm designed by top industry experts
  • WiseDynamic’s self-learning algorithm optimizes prices based on your chosen strategy and historical data