Turning real-time AI into measurable customer retention
The opportunity
The business relied on general eligibility rules and predefined customer lists to determine who could receive loyalty offers. We saw an opportunity to create a more responsive experience by using real-time customer context to recognize retention risk and provide frontline representatives with a relevant recommendation.
My role
I led the product implementation, connecting the business opportunity, AI model outputs, system requirements, frontline workflow, and delivery roadmap.
What I did
I defined the business requirements and mapped how model-driven recommendations would become part of the frontline experience. I coordinated the business, data science, UX, and technology teams and helped define how recommendations would be presented, tested, measured, and improved.
The outcome
The capability supported thousands of successful customer-retention outcomes and delivered meaningful improvements in retained revenue.
What it demonstrates
Emerging technology creates value when it is connected to a clear business problem, an effective user experience, and measurable customer outcomes.