Part 11/11:

Nikita Katal’s innovative approach demonstrates how combining traditional data science techniques with modern LLMs can revolutionize retail customer segmentation. By focusing on life stages deduced from product metadata and transaction data, retailers can deliver highly personalized promotions, improve customer satisfaction, and boost revenue.

The journey involves technical challenges, ethical considerations, and a commitment to ongoing learning—yet the benefits are evident. Her work exemplifies the future of retail analytics, where AI-driven insights enable smarter, customer-centric decision-making.

For those interested in exploring this further, Nikita provided her contact details and expressed openness to collaboration and discussion outside the presentation hall.