AI-powered auto-replenishment is shifting retail from reactive transactions to anticipatory, intelligent commerce. At LLMday, we’ll explore how large language models (LLMs), combined with predictive ML systems, are redefining loyalty and customer lifetime value (CLV) in high-frequency retail categories. Modern replenishment engines go beyond fixed subscriptions and rule-based triggers. By integrating cross-channel signals, purchase history, household context, behavioral data, and IoT inputs, AI systems dynamically predict when consumers need essential products—reducing friction, decision fatigue, and “household management anxiety.” Retailers deploying predictive basket models have seen measurable retention gains over traditional loyalty programs, especially in groceries, personal care, and healthcare. This session dives into the technical architecture behind these systems, including sequence models (e.g., RNNs), reinforcement learning for timing optimization, API-first orchestration layers, and the emerging role of LLMs in contextual reasoning, personalization logic, and conversational reorder interfaces. We’ll examine key analytical challenges such as seasonality shifts, life-event detection, sparse data cold starts, and model drift. We’ll also address critical concerns around privacy, bias, autonomy, and federated learning approaches that enhance personalization without centralizing sensitive data.
Mamta Krishnia is a seasoned, growth-oriented product leader with over a decade of experience scaling B2C products and multi-tenant platforms that have delivered 10x business growth. She has led transformative zero-to-one and first-to-market solutions across e-commerce, retail technology, and platform innovation in complex, high-impact environments. Currently Group Director of Product Management at Walmart International, Mamta leads a 50-member team across Canada, Mexico, and Chile, owning a 9-figure e-commerce platform spanning discovery, search, personalization, fraud prevention, payments, and promotions. Previously, as Senior Director, she drove innovation across automotive, subscriptions, and pet pharmacy, launching AI-powered capabilities including Part Terminology ID models, frequency-based recommendations, and GenAI-driven service experiences. She played a key role in launching Walmart’s Pet Medication MVP, scaling a $1M/week subscription MVP, and leading omni-channel funnel strategies that improved engagement and lifetime value. Mamta also founded Walmart’s Women in Product ARG, growing it from 0 to 400 members to foster inclusion and leadership development. Earlier, she led a CEO-sponsored e-commerce replatforming that delivered a 22% lift in cross-category customer engagement. She began her career at Slalom, Cognizant, and Amdocs, and holds an MBA from Indiana University’s Kelley School of Business and a degree in Computer Engineering from the University of Mumbai.
