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Case Study 

Browse & Shop Migration for a Global Retailer
DigitalSprint optimized a global retailer’s eCommerce platform by migrating to GroupBy, reducing indexing time by 50% and boosting revenue by 18%. Enhanced search accuracy, improved cart sizes, and reduced abandonment rates transformed the customer experience.

The Problem
 A global retail giant faced several challenges with its eCommerce platform, directly impacting its user experience and business performance.

  • Inaccurate search results: Customers struggled to find relevant products, leading to frustration and drop-offs.
  • Slow product indexing: It took an extended time for new products to appear on the site, delaying launches and promotions.
  • Outdated inventory information: The system lacked real-time updates, resulting in products being unavailable in-store after being ordered online.
  • Reduced search relevancy: Irrelevant search results lowered customer satisfaction and contributed to missed sales opportunities.

The Impact
These inefficiencies translated into:

  • Increased cart abandonment due to poor user experience.
  • A noticeable drop in the average cart size.
  • Revenue and branding losses from dissatisfied customers.
  • Challenges in scaling operations to meet the retailer's growing needs.

Our Contribution
DigitalSprint partnered with the retailer to address these challenges through a transformative migration project:

  • Migration to GroupBy: We transitioned the search engine from Endeca to GroupBy for better search relevance and faster indexing.
  • End-to-end architecture development: Designed and implemented a robust system architecture to handle complex data flows seamlessly.
  • Cloud adoption: Transitioned the platform from on-premises to the cloud, enabling scalability, reliability, and enhanced performance.
  • Engineering best practices: Adopted CI/CD pipelines and implemented auto-scaling to optimize deployments and reduce manual intervention.

The Benefits
The migration delivered significant improvements:

  • Reduced indexing time for 700K products and 2.6M SKUs by 50%, down from 3 hours 30 minutes.
  • Enhanced search accuracy, ensuring customers quickly found what they needed.
  • Lowered cart abandonment rates by 15%, improving customer retention.
  • Increased the average cart size by 37%, boosting sales per transaction.
  • Achieved an 18% revenue growth, driven by a smoother shopping experience.

Conclusion
DigitalSprint’s strategic migration and optimization efforts transformed the retailer’s eCommerce platform into a fast, reliable, and customer-centric solution. This case highlights how our expertise in technology and innovation can drive measurable business outcomes, delivering both operational efficiency and enhanced customer satisfaction.