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How Quinnox’s ML-Based Pricing Engine Increased Revenue for a Leading US Bottler of Carbonated Beverages ​

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Overview

The client is a leading bottler of carbonated beverages in the United States. They wanted to enhance their revenue generation by optimizing the pricing of their products. 

Business Need

  • The client required a price optimization engine to determine the optimal pricing for their products based on region, buyer, and other key parameters, ensuring maximum revenue generation. 

The Quinnox Solution

  • Conducted data analysis to evaluate revenue generation across various packaging options. 
  • Identified high-revenue packages for different customers and locations. 
  • Utilized an XGBoost machine learning model to achieve high accuracy. 
  • Adjusted product prices in 5% increments, up to 30%, to analyze demand and determine the optimal price point for maximum revenue. 
  • Stored data in Snowflake and developed a Power BI dashboard to provide actionable insights. 

Tech Used: Python, Snowflake, PowerBI 

Business Benefits Delivered

  1. Achieved significant revenue gains for the client.
  2. The client expressed high satisfaction with the delivered solution.

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