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Market Basket Analysis in Retail Stores Using Generative AI

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The Company 

A leading petrol bank retail store aimed to enhance customer experience and maximize sales through data-driven decision-making. The company sought to optimize product placements, cross-selling strategies, and promotions by leveraging advanced AI capabilities. 

Problem Statement 

Retail stores often struggle to understand nuanced purchasing behaviors, which can limit their ability to optimize product placement and promotional strategies. Traditional market basket analysis methods, while effective, lack the depth to capture implicit patterns in transaction data. This led to challenges such as: 

  • Inefficient cross-selling and bundling strategies. 
  • Underutilized promotional campaigns. 
  • Suboptimal store layouts that did not maximize impulse purchases. 

To address these challenges, the company needed a sophisticated AI-driven approach that could generate actionable insights and improve customer engagement. 

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