As part of its goal of offering intelligent, personalized post-purchase experiences for shoppers, Narvar is rolling out two new features: IRIS (Intelligent Retail Insights Service) and Narvar Assist. The features will be on the Narvar platform beginning Jan. 15 and live demonstrations will take place at the National Retail Federation’s show at the Javits Center’s Crystal Palace in New York next week.

Narvar said IRIS is a layer of intelligent technologies that include machine learning, data intelligence and analytics that is “combined with industry domain experience and fueled by more than 42 billion consumer interactions across the Narvar customer base.”

The company said its dataset is second only to Amazon, and cements the company’s “position as the leader in intelligent, personalized post-purchase experiences. As the first entrant to the post-purchase category, Narvar is now redefining it with AI.”

Narvar Assist is powered by IRIS and is designed to offer “delivery claims fraud prevention software that provides scalable, data-driven tools to reduce fraud, automate claims management, and enhance customer satisfaction, addressing a $103 billion problem for retailers,” Narvar said.

For retailers, the expected outcomes of these new features aims to anticipate the behavior of shoppers while optimizing operations and creating what Narvar calls “hyper-personalized experiences” to drive loyalty as well as sustainable revenue growth. Aside from boosting loyalty and creating hyper-personalized experiences, the platform mitigates risk by identifying and addressing high-risk behaviors while adapting to emerging patterns, Narvar said, adding that it also streamlines operations via predictive insights that “unlock profitable growth.”

Ram Ravichandran, chief technology officer of Narvar, described IRIS as a transformative leap for Narvar, “combining advanced machine learning and multimodel AI to deliver insights at unmatched scale. By processing billions of interactions, IRIS powers unprecedented personalization and helps retailers tackle challenges like fraud prevention and operational inefficiencies.”

“Narvar has been a trusted partner for nearly a decade and plays a key role in our overall mission—to put the consumer at the center of everything we do and ensure our fans have an exceptional experience throughout the entire omnichannel shopping journey,” said Priya Buening, vice president of e-commerce at Levi’s. “Narvar’s IRIS and Assist solutions allow us to tap into new levels of personalization and efficiencies in the post-purchase experience. Moreover, the solution enables us to provide an exceptional customer experience while strategically optimizing our policies, streamlining and automating our operations, and reducing fraudulent abuse on both the outbound and returns shipping experience.”

With Narvar Assist, the platform can decrease high-risk fraud payouts “by leveraging Narvar’s intelligence fraud signal to determine when an appeasement is appropriate,” Narvar said, adding that it can also provide retail customers with a self-service portal to free up a retailer’s support team thereby allowing them to focus on high-priority tasks.

“Since implementing Narvar Assist, we’ve seen a significant reduction in customer contacts, allowing us to resolve claims more efficiently and focus on delivering a better experience for our loyal customers,” said Braeden Conroy, senior customer experience manager at Dr. Martens.

“Assist is just the beginning,” said Anisa Kumar, chief executive officer of Narvar. “With IRIS as our foundation, we’re redefining the future of post-purchase, helping retailers unlock their full potential by turning every interaction into an opportunity to build trust, deliver on promises, and grow their business.”

Harish Mohan, president and chief revenue officer of Narvar, said, “IRIS and Assist together deliver measurable impact today while laying the groundwork for long-term growth. Retailers can now harness the power of AI to optimize their operations, reduce costs, and drive loyalty, creating a competitive edge in a dynamic market.”