Pricefx Win Rate Optimization is an accelerator that uses a machine learning model to predict the probability of winning a deal for a specific item, customer, and set of deal parameters. Based on this win rate assessment, the model recommends optimized prices designed to maximize expected revenue, expected profit, or a combination of both. The accelerator evaluates historical quote data to identify how price, discounts, customer attributes, product characteristics, and other factors influence deal outcomes. .

In this capability overview for Pricefx Win Rate Optimization, we will discuss:

• the impact of the challenges that Pricefx Win Rate Optimization solves such as:
  • Revenue loss caused by pricing decisions made without win-rate insight
  • Margin degradation driven by intuition-based discounting
  • Inconsistent deal performance due to limited understanding of win drivers
• the real benefits to Pricing; Sales; Finance teams that companies in manufacturing, distribution gain.