Case Study

Ensuring stakeholder acceptance when implementing data-driven pricing approaches

Discover how we helped our client unlock better growth.

Opportunity/Issue

A global chemical commodity company specializing in silicon compounds approached our experts.

They were looking to introduce pricing engines across their key processes.

A complicated value chain for silicon compounds and a reliance on ‘gut-based’ pricing by many in the organization were holding the company back from capturing more value and maximizing operational efficiency.

Approach/Solution

After identifying a long list of price drivers, our team was able to build three engines that were intertwined: Forecasting, Rules, and Dynamic.

For each engine, we delivered tools to support their running, maintaining, and updating, enabling the client to grow margins and optimize operations.

These included:

  • A dashboard to visualize forecasted and suggested prices
  • Excel-based raw data template for inputs of the three engines
  • How to guide documents & videos

Stakeholder acceptance was key to this process. To support this, we conducted thorough knowledge transfer and training for the client team via workshops and training sessions.

Outcome/Result

Historically, our client’s price points have been lower than the market index for the last four years.

Introducing the new pricing engines, and accompanying materials results in a revenue uplift of 7–8% for our client, meaning they beat the market index by five basis points.

Contact us

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