Narvar Agentic | IRIS™ Powered Autonomous Post-Purchase Solutions

The Future of Agentic Post-Purchase Starts Here

Narvar is leading the next frontier of agentic commerce — bringing intelligent, policy-aware automation to post-purchase. Powered by deep integrations, behavioral signals, and brand-safe AI, we turn complexity into seamless resolution at scale.

Agentic Solutions for Every Use Case

Post-purchase is ready for agentic disruption

Post-purchase is where loyalty is earned, yet friction still persists. For consumers, it feels like a chore. For retailers, it’s costly and difficult to manage across delivery, service, fraud, and returns. The work is manual, fragmented, and hard to scale — exactly where agentic systems are needed.

Instant answer across all agentic solutions

Narvar’s agent NAVI meets the consumer wherever they are, on a retailer’s website, in-app, or inside agentic assistants. Narvar instantly delivers clear tracking, delivery status, and next steps.

The MCP (Modern Content Protocol) orchestrates every step, activating IRIS™ intelligence and retailer policies to resolve the inquiry automatically, without manual intervention.

Automated delivery issue resolution

A consumer reports a missing package through the retailer’s support interface. Narvar, operating above the CSP layer, evaluates eligibility and instantly approves the claim, orchestrating replacement actions across Gladly, Kustomer, Salesforce, Zendesk, and Microsoft Dynamics.

Narvar evaluates claim conditions and enforces retailer policies using IRIS™ intelligence to deliver consistent, instant outcomes.

Proactive, policy aligned exchanges

A consumer indicates an item does not fit. Narvar checks inventory in real time, determines the correct size, and offers an exchange option instantly.

The MCP Agent orchestrates identity, policies, and inventory signals through IRIS™ to convert a return into a retained sale.

Fraud and abuse prevention

Unified Policy Control: our centralized governance layer unifies return, claim/appeasement, and service policies across channels (in-store, online, call center).

Narvar’s agent, NAVI, applies risk and policy logic to enforce consistent decisions and communicates the trust score with NAVI, in real time.

Intelligence loops in admin

Signals from carriers, returns, and consumer interactions surface optimization opportunities. Narvar recommends policy adjustments such as enabling proactive exchanges, along with projected outcomes.

IRIS™ evaluates your policies against the top global brands, then provides expert guidance on key adoptions or changes your brand should make along with the results they’ll deliver.

The Agentic Post-Purchase Experience

Narvar Agentic Post-Purchase from Narvar on Vimeo

Agentic AI, designed for retailers

Agentic post-purchase is an intelligence and autonomy layer powered by IRIS™. It connects identity, policy, and real-time system signals to automate actions across delivery, service, fraud, and returns.

Frequently asked questions

What is agentic post-purchase?

Agentic post-purchase is an intelligence and autonomy layer that uses identity, retailer policies, and real-time signals to automate decisions across delivery, service, fraud, and returns. It delivers autonomous post-purchase decisioning that resolves issues instantly while preserving a seamless consumer experience.

How is this different from traditional automation?

Traditional automation follows static workflows. Agentic post-purchase applies IRIS™ intelligence and real-time policy logic to determine the correct action in context. This enables real-time post-purchase policy automation, dynamic delivery exception management, AI-driven returns policy execution, and automating post-purchase fraud checks without manual review.

Does this replace my existing systems?

No. Narvar’s agentic post-purchase model works across your current service and commerce stack. The agent embeds directly into platforms such as Salesforce, Zendesk, and Microsoft Dynamics and orchestrates decisions without altering your architecture.

How does the agent interact with consumers?

The agent meets consumers wherever they are, including agentic assistants, retailer sites, and support channels. It returns rich, actionable responses such as tracking cards, proactive exchanges, claim outcomes, and delivery service intelligence in real time.

What actions can the agent take?

The agent can answer delivery questions, surface real-time tracking, offer proactive exchanges, approve or deny claims, check inventory, apply retailer policies, and trigger downstream workflows inside existing systems. These actions enable intelligent post-purchase automation across delivery, service, fraud, and returns.

How does IRIS™ support agentic decisioning?

IRIS™ applies identity and policy logic to each interaction, evaluates available signals, and determines the correct action instantly. Over time, it learns from delivery, returns, claims, and consumer interactions, recommending policy adjustments that improve performance and reduce friction.

Can retailers control the policy rules?

Yes. Retailers set their policies and risk rules, and the agent enforces them consistently. Narvar’s admin experience also provides recommendations based on observed patterns and outcomes.