Narvar

IRIS™ (Intelligent Retail Insights Service) is Narvar's proprietary AI engine, trained specifically on over 74 billion annual consumer interactions and 2 billion packages. Purpose-built for retail, IRIS™ automates decisions across delivery, fraud detection, and returns personalization. This dataset is a behavioral moat that general-purpose marketing clouds or logistics software cannot match, as it captures granular, real-world post-purchase behavior at a scale only a dedicated platform can accumulate.

Narvar deploys its IRIS™ AI to analyze consumer behavior and flag fraudulent returns before they are authorized. The platform enforces eligibility rules and steers high-risk transactions away from cash refunds toward automated exchange options. The firm claims this approach can decrease delivery claim payouts by 25% and retain up to 60% of revenue that would otherwise be lost to a fraudulent or costly return process.

Narvar is deployed by over 1,500 global brands. Publicly named clients include Harry Rosen, which achieved a 13-point conversion increase after implementing Narvar's delivery estimate tools, and On, which saw a significant conversion lift from displaying accurate delivery dates during the consideration phase. The company also states its personalized tracking pages convert 10% higher than generic alternatives, driving repeat traffic directly from operational emails.

The platform integrates with over 1,000 global carriers and plugs into standard ecommerce stacks to unify the post-purchase journey across delivery, service, fraud, and returns. For retailers, this means a single system handles branded tracking, proactive multi-channel notifications, intelligent return workflows, and delivery claim management, reducing the operational fragmentation that typically forces shoppers to contact customer support.

Narvar's research indicates that 60% of shoppers choose retailers who provide exact delivery dates, while 45% abandon a purchase when delivery timing feels uncertain. By deploying four continuously learning machine learning models to predict delivery with over 95% accuracy, Narvar moves delivery estimates from a back-end operational metric to a front-end conversion tool. This directly addresses "delivery anxiety," which the company identifies as a primary driver of cart abandonment.