Case / priceGURU

Price optimization for a retailer

A causal learning model set to the company’s macro-market strategy. Combining demand forecasting, cross-elasticity forecasting and precise price adjustment produced a significant increase in profit margin.

Challenge

A food retailer needed to find the right price combination across its portfolio while balancing demand and margin.

Scope

Optimize prices for premium stores serving higher-income neighborhoods.

Approach

A causal model combined demand forecasts, cross-elasticity estimates and the retailer's market strategy to adjust prices.

Outcome

6%

Margin increase

The published case reports a 6% margin increase compared with matched comparison stores.

Start a conversation

Bring us the problem.

Tell us what you need to improve. We will work out whether data or AI is the right approach.

Email Snowfox