Narvar

Co-founded and built the AI-powered platform at Narvar, helping the company scale to become a unicorn startup and empowering over 100 enterprise clients with AI-driven supply chain solutions.
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Narvar: Enhancing Post-Checkout Customer Experience

About

Narvar is a leading SaaS provider specializing in post-purchase customer experiences for major e-commerce brands. Narvar helps retailers enhance the customer journey after checkout, including tracking, notifications, and branded experiences, ultimately building stronger customer loyalty and engagement.

The Problem

As a rapidly growing company serving large brands, Narvar needed a scalable, high-performance infrastructure that could reliably handle high traffic, especially during peak shopping seasons like Black Friday and Cyber Monday. Initial limitations in the platform’s architecture caused challenges, including:

  • Scalability Issues: The existing platform struggled to handle surges in traffic, which led to slow load times and downtime during high-traffic periods.
  • Customer Experience Reliability: Narvar’s clients required a stable, white-labeled post-purchase experience to maintain their brand integrity. Any downtime or performance lag would negatively impact customer satisfaction and trust.
  • Limited Data Analytics: Without robust analytics capabilities, Narvar lacked real-time insights into post-purchase behavior and trends, limiting their ability to refine the user experience for retailers and their customers.

The Solution

Intellus AI’s team, led by Haamid Ali, partnered with Narvar to build a more robust and scalable infrastructure. This included implementing advanced cloud architecture, load balancing, and data analytics solutions to provide seamless performance and better customer insights.

  1. Scalable Cloud Architecture with Load Balancing: Intellus AI re-architected Narvar’s platform to be cloud-native, enabling automatic scaling based on demand. With cloud-based load balancing, the platform could handle sudden spikes in traffic by distributing the load evenly, ensuring consistent performance and uptime.
  2. Performance Optimization for Real-Time Responsiveness: Haamid’s team introduced optimizations for response times, especially for tracking and notification features, to ensure users had instant access to post-purchase information. By optimizing backend processing and leveraging caching strategies, Intellus AI minimized latency, delivering a smooth experience even during high-traffic periods.
  3. Data Analytics and Monitoring for Actionable Insights: Intellus AI implemented a real-time data analytics module to provide Narvar and its clients with actionable insights into customer behavior. This allowed Narvar to better understand and refine the post-purchase journey, offering more personalized experiences and enabling retailers to anticipate customer needs.
  4. Enhanced White-Label Capabilities: To ensure that Narvar’s clients could deliver a seamless branded experience, Intellus AI’s team developed flexible white-label options. This allowed retailers to customize post-purchase interfaces to align with their brand aesthetics, further strengthening the customer connection.

The Results

The optimized infrastructure and enhanced analytics capabilities resulted in several key benefits for Narvar and its clients:

  • 99.9% Uptime During Peak Seasons: The new cloud architecture and load-balancing capabilities enabled Narvar’s platform to operate reliably even during high-traffic periods, such as Black Friday. This high uptime was critical for maintaining customer trust and satisfaction for Narvar’s retail clients.
  • 50% Reduction in Response Time: By optimizing backend processing and caching strategies, Narvar’s platform could deliver tracking updates and notifications in real-time. This improvement created a faster, more engaging experience for end customers, enhancing overall satisfaction.
  • Improved Client Retention and Satisfaction: The stability and performance improvements led to a 20% increase in client satisfaction, as retailers were able to provide a more seamless branded post-purchase experience. This directly contributed to Narvar’s growth and its reputation as a reliable SaaS provider.
  • Enhanced Data-Driven Insights for Retailers: With real-time analytics, Narvar’s clients gained access to valuable insights on customer behavior post-purchase. This empowered retailers to better anticipate customer needs and optimize their post-purchase engagement strategies, resulting in higher repeat purchase rates.

Enhance Post-Purchase Engagement with Intellus AI’s Scalable Solutions

Is your company looking to elevate the post-purchase experience and keep customers engaged long after checkout? Contact Intellus AI to harness Haamid Ali’s expertise in scalable, customer-focused solutions that drive engagement and loyalty. Let Intellus transform your customer journey with data-driven insights and AI-powered personalization.

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Delivered AI cloud optimization services at Cresance, saving enterprise clients between 20-80% on cloud costs by leveraging machine learning to identify and eliminate inefficiencies. Part of Stanford's StartX & Alchemist Accelerator.
Developed knowledge management systems as part of Oracle’s eBusiness Suite, optimizing processes and enhancing user experience for global enterprise clients.
Led the engineering team at Walmart Labs, implementing data-driven solutions that reduced content ingestion times by 60% and improved catalog search performance by 80%.
Designed and developed custom infrastructure management tools for Google’s data centers, optimizing performance and enabling efficient scaling across the global network.
Led AI initiatives at 12 labs within Macy’s and Bloomingdale's, generating over $100M in additional revenue by driving key projects in personalization, natural language search, and product recommendations.

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