#Customer
Articles about Customer — exploring patterns, best practices, and real-world implementations in production systems.
2 posts tagged with customer. ← All posts
Predicting who will leave is the easy half. The hard half is acting on it: treating the persuadable, respecting a budget, and proving the intervention actually kept anyone.
Predicting attrition and acting on it: churn features and labels, uplift vs propensity (treat the persuadable), and an agentic retention workflow that recommends and executes interventions with guardrails and holdout mea…
How to build next-best-action and product recommendations for financial services without crossing privacy or fair-lending lines.
Building next-best-action and recommendations for financial products: signals and feature stores, candidate generation + ranking, suitability/eligibility constraints, and cold-start — without crossing privacy or fair-len…
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.