Why are retailers switching to parcelLab over Narvar?
Greater customization and brand control
parcelLab provides retailers with a flexible, customizable post-purchase solution that empowers brands to control and personalize every touchpoint. Our platform allows retailers to seamlessly embed a customizable tracking page directly on their website or mobile app with a lightweight JavaScript snippet, ensuring a consistent, on-brand experience for every customer.
Because retailers deserve to drive traffic back to their own website, not ours or a carrier’s.
Returns experiences that recover revenue
Returns shouldn’t be complicated. With parcelLab’s self-service return portal, retailers can define tailored return policies with configurable windows and product-specific eligibility rules. In the portal, brands can personalize the return experience based on customer segments to boost customer loyalty. By providing shoppers with options such as exchanges or store credit, retailers can recover revenue and encourage repeat purchases.
Real-time insights that drive action
To optimize post-purchase performance, retailers need real-time data and analytics. When brands use parcelLab, they gain live tracking and robust reporting. By turning raw data into actionable insights, our platform helps retailers measure carrier performance, understand customer preferences, analyze shopping behavior, and more. With real-time analytics and industry benchmarks, brands can personalize experiences, drive repeat purchases, and stay ahead of the curve, always.
Seamless implementation and scalable growth
parcelLab’s standard implementation includes dedicated success managers for a smooth transition. With parcelLab’s platform, users see frequent updates, leverage flexible integrations, and utilize AI-driven automation to help scale their post-purchase experience.
Looking to grow internationally? Want to create tracking pages or return portals in different languages? That’s no problem for us. Since parcelLab has a responsive platform and a global team, retailers that make the switch report seeing their international post-purchase experiences drastically improve.
What are Narvar customers who switched to parcelLab saying?
Unfulfilled promises
Customers have experienced frustration with Narvar’s integration capabilities, leading to unfulfilled promises and ineffective post-purchase experiences. While some have seen results with Narvar, users have noted that the platform is “clunky” and glitches during updates.
In contrast, parcelLab provides a headless, API-first platform that integrates seamlessly with your entire tech stack, from logistics, warehouse, and transportation to CRM, customer feedback, CDP, and marketing tools. The result? A smooth, data-driven experience for you and your customers.
Additionally, our intelligent workflows easily manage exceptions, anticipate shipping delays, and resolve issues before they escalate. This helps brands proactively address problems, improve post-purchase journeys, and minimize WISMO inquiries.
Costly and not user-friendly
Despite its potential, Narvar proves expensive and challenging to implement. Some users report ongoing technical issues relating to their platform capabilities.
parcelLab empowers retailers with AI-driven automation and flexible workflows, reducing manual effort and delivering faster results. As for pricing, parcelLab is willing to work with you to get the most out of the platform. If you wish to inquire further about pricing, contact us.
Limited support & onboarding
Narvar’s solutions suffer from poor execution and inflexibility. On G2, some users report complex technical issues. Specifically in relation to Returns Management, users have experienced long onboarding processes and ongoing problems that limit effectiveness.
On the other hand, parcelLab ensures a smooth onboarding experience with dedicated customer success managers, helpful “how-to” guides, and a platform built for flexibility. With parcelLab Copilot, the smart in-app AI assistant, retailers can get the most out of the platform. By asking Copilot, brands can learn how to complete a task or get tips to improve their post-purchase experience.
Comparison of features between parcelLab and Narvar
Personalized experience design
Fully customizable tracking pages, emails, and returns flows with segmentation by returns rules, AI-powered targeting, and multi-brand support
Fewer customization options & less flexibility to adjust to individual needs
Self-service tools and Copilot automate setup, with AI-generated emails, translations, communication flows, returns portal setup, and App Store integrations—reducing manual effort
AI capabilities support delivery claims and fraud prevention
Built-in benchmarking around carrier and communication performance and A/B testing provides real-time insights for continuous improvement
Publishes annual benchmarking reports but lacks publicly available details on built-in benchmarking or A/B testing tools
Intelligent returns management
Flexible and customizable returns portal that offers exchanges or refunds based on your returns policy. Proactive issue management and returns forecast capabilities help minimize delays and optimize return logistics
Returns onboarding timelines vary, with some customers reporting technical challenges
Embeddable tracking pages and return portals drive traffic back to your site. Easily integrate with your full tech stack for optimized performance
Narvar’s tracking and returns portals operate on its domain, rather than being embedded within retailer websites
Delivery promise accuracy
Powered by a global dataset of 1B+ shipments, machine learning continuously refines predictions using real-time carrier data and historical fulfillment trends. Trending late AI alerts customers automatically when a delivery will be late
Uses predictive models and carrier data for delivery estimates
Seamless implementation and support
Standard 4-8 week implementation with API-driven integration, pre-built workflows, and dedicated local in-house support teams for a smooth transition and scalable growth
Onboarding timelines vary, with some customers citing extended implementation processes and resource-intensive setup
Comparisons
