Real-time AI personalization infrastructure connecting identity, signals, and offers
An enterprise retailer needed real-time AI-driven personalization across SMS, web, app, and in-store touchpoints — connecting identity signals, transaction history, and offer logic at scale. The internal team had the vision but not the AI pipeline expertise. A Grafter built the infrastructure and captured the architecture as a suite of Enterprise Skills the team could evolve independently.
Personalization vision blocked by lack of AI pipeline expertise. Disparate identity, transaction, and offer data with no unified runtime.
Grafter built the identity → signal → offer pipeline and packaged each layer as a standalone Enterprise Skill. Internal team trained to extend each component independently using Claude Code.
Packaged, tested, and left behind for the internal team to run and extend independently — no ongoing dependency on CodeVine.