Retail pioneer in health and beauty products

Consulting Retail

Company

Eva

Industry

Retail

Country of the Company

Ukraine

Type of Service

Consulting

Tasks

  • Analyze customer behavior
  • Identify upselling and cross-selling opportunities
  • Leverage data analytics to boost revenues
  • Increase the average basket size
  • Understand key customer segments
  • Retain customers in a competitive market

Challenges

Need a strategy to analyze customer behavior, identify upselling and cross-selling opportunities, leverage data analytics to boost revenue, and retain key customer segments in a competitive market.

Solutions

  • Developed a new recommender engine to grow the average basket size
  • Implemented a new churn retention strategy based on model’s predictions
  • Leveraged data analytics to understand key customer segments and opportunities

Outcomes

  • The new recommender engine allowed to grow the average basket size by 0.4 items
  • The new churn retention strategy based on our model’s predictions allowed early detection of churning clients, which led to a decrease in churn from almost 20% to 15%

Technologies Used

Python (pandas, numpy, scikit-learn, LightGBM, TensorFlow)

Ederned

Company

EVA

Industry

Retail

Country of the Company

Ukraine

Type of Service

Consulting

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