Case Study

Retail Personalization at Scale

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Challenge

A global fashion retailer wanted to enhance product recommendations, reduce churn, and increase customer engagement.

Solutions Delivered by Netlogg

  • Implemented a Gen AI-based personalization engine using fine-tuned LLMs.
  • Integrated customer purchase history, product metadata, and behavioral signals.
  • Delivered real-time content generation for marketing and support.

Results

  • 32% uplift in customer engagement
  • 18% improvement in cross-sell conversions
  • Significant drop in abandoned cart rate

32%

uplift in customer
engagement

18%

improvement in cross-
sell conversions

Cart Rate

Significant drop in
abandoned cart rate