Case Study: Quadient achieves real-time, unified ML-powered omnichannel customer experiences and ROI in weeks with Iguazio

Quadient Saves Time and Costs Getting AI to Production

Quadient, a leading provider of omnichannel customer experience solutions that delivers eight billion personalized experiences annually, needed to unify and combine every data type across sources to build real-time machine learning applications for its SaaS customer-experience platform. Faced with the time-, cost- and resource-intensive alternatives of integrating multiple cloud platforms or building a custom toolkit, Quadient turned to Iguazio for an out-of-the-box data science platform (including the Nuclio serverless toolkit) to simplify that challenge.

Iguazio delivered a unified multi-model data layer, ingestion, model training and serving capabilities with a single API and serverless functions, enabling Quadient to process streaming and historical data, train ML models and expose real-time endpoints. The solution eliminated complex multi-store integrations, sped development from months to weeks, reduced latency and cloud costs, delivered ROI in weeks rather than months or years, and allowed Quadient to add new services and personalize customer experiences at scale.

Quadient

Jason Evans

Director of DXP Innovation