Narvar
The intelligent post-purchase platform for branded tracking, delivery, and returns management.
Turn returns into a profit center by automating exchanges and maximizing customer retention.
Loop Returns is the industry-leading returns management platform specifically engineered for the Shopify ecosystem, moving toward platform-agnostic capabilities by 2026. The technical architecture focuses on reducing the friction of the post-purchase experience through a logic-based automation engine. By utilizing proprietary 'retained revenue' algorithms, Loop incentivizes exchanges over refunds, allowing merchants to recover up to 40% of potentially lost revenue. In 2026, Loop is positioned as a critical infrastructure layer that bridges the gap between customer service and logistics, integrating deeply with 3PL providers, ERPs like NetSuite, and marketing stacks like Klaviyo. Its advanced 'Workflows' engine allows for complex, multi-variable logic to determine return eligibility, shipping methods, and processing speeds based on customer lifetime value (CLV) and product type. The platform's pivot toward AI-driven fraud detection and predictive sizing suggestions has solidified its role for high-volume enterprise retailers who require a scalable, secure, and highly customizable returns portal that maintains brand integrity.
A deep-link integration that turns the return portal into an upsell opportunity, allowing customers to spend their return credit immediately on any site inventory.
The intelligent post-purchase platform for branded tracking, delivery, and returns management.
The hyper-growth retail operating system for omnichannel merchants.
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A conditional logic engine (If/Then/Else) that evaluates return requests based on product type, customer history, and shipping cost.
Processes a new order immediately upon the customer finishing the return request, before the original item is mailed back.
Algorithmic determination of whether it is more cost-effective to let the customer keep a damaged/low-value item versus paying for return shipping.
Extends the returns engine to physical retail locations, allowing for seamless omnichannel returns.
Uses machine learning to flag 'serial returners' and suspicious return patterns based on cross-merchant data.
Offers customers an additional incentive (e.g., $10) if they choose store credit or an exchange over a refund.
Customers often return clothes because they don't fit, resulting in a lost sale.
Registry Updated:2/7/2026
Customer confirms and new order is created immediately
High shipping costs for international returns often negate the product's value.
Support teams are overwhelmed with 'Where is my refund?' queries.