Why: Neiman Marcus’s product recommendation system was rigid, requiring long development lead times to make changes, limiting A/B testing and activation speed. They needed a more agile, scalable solution to power personalized recommendations across web, email, and mobile.
How: I led the ideation and build of a Recommendation-as-a-Service platform, transitioning to a microservice architecture and self-serve model. This involved collaborating with technical leads, gathering requirements across 10+ locations and three brand sites, and securing cross-functional buy-in. I coordinated the cutover, launch, and analytics changes to ensure a seamless transition.
Result: The new platform reduced recommendation deployment time from four weeks to under a day, empowered business teams with self-serve capabilities, and exponentially increased the flexibility, scalability, and agility of Neiman Marcus' recommendation experiences—comparable to industry-leading SaaS personalization solutions.
