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Search & Product Discovery | 7 min read

Unlocking the Power of AI-First eCommerce Search: A Webinar Case Study with Rebag

November 14, 2024

Rebag website screen on a mobile device showing 24% increase in purchases, 60% increase in revenue per search, 21% increase in Average Order Value and 51% increase in search revenue

In a dynamic webinar hosted by GroupBy, CEO Roland Gossage joined Rebag's Chief Product and Technology Officer, Olivier Hepner, to explore how Rebag—a leader in luxury resale—has harnessed the power of GroupBy's AI-first search platform to create a superior eCommerce experience. This partnership illustrates the transformative potential of AI-first search in eCommerce, from boosting conversion rates to enhancing personalization. Let's delve deeper into the unique benefits and results Rebag has achieved with GroupBy's technology.

AI-First Search: A Game Changer for Luxury Resale

Rebag serves a niche audience looking for high-end resale items, often requiring specific searches such as limited edition items, particular designers, or specific materials. Traditional search engines, however, often struggle with such detailed queries, which can lead to a frustrating experience for customers. During the webinar, Olivier Hepner explained that Rebag's customers expect seamless, highly specific search capabilities that help them navigate a broad and varied inventory. GroupBy's AI-first solution, powered by Google Cloud Vertex AI Search for Commerce, allows Rebag to provide a smoother, faster, and more relevant search experience. This AI-first system interprets complex queries, catering to Rebag's customers' need for a refined, detailed shopping journey.

Watch as Olivier highlights the unique search challenges in the luxury resale space and how GroupBy's AI-first approach is tailored to address these complexities:

Search and personalization at Scale: A +50% Revenue Lift

One of the standout achievements for Rebag has been a significant 50% increase in revenue per search. According to Hepner, this result is largely due to GroupBy's real-time personalization, which adjusts the search experience based on each user's behavior, preferences, and historical interactions. By moving away from one-size-fits-all search and embracing personalization at scale, Rebag can provide a curated experience that resonates with each shopper. This not only improves user satisfaction but has also led to a notable boost in revenue, as the platform's AI can dynamically adjust recommendations to suit what individual users are most likely to purchase.

Listen as Olivier describes how GroupBy's platform has not only grown their search revenue, but also improved their customer satisfaction through personalized shopping experiences, as well as by managing pricing and inventory changes in real-time, at scale:

Reducing Friction in the Search Process using AI

Reducing friction in the search process is a key area of focus for Rebag, with GroupBy's AI platform making significant strides in improving the overall user experience. Olivier emphasizes how AI has made the search and discovery process faster and more efficient, enabling users to find specific products quickly. By integrating AI-first search, Rebag's website enhances speed of product findability, and allows for more natural, long-tail search queries. While Rebag is exploring further AI advancements, such as customer service enhancements through conversational AI, the current search improvements have greatly reduced friction for users.

With GroupBy's advanced Natural Language Processing (NLP), Rebag's search platform is able to understand nuanced queries, ensuring that customers can find exactly what they are looking for without frustrating delays. This has been pivotal for luxury resale shoppers who expect precision, whether they're searching for rare items like vintage Chanel bags or exclusive Hermes scarves. The combination of AI's efficiency with human oversight is helping Rebag provide a more streamlined and satisfying shopping experience, paving the way for further enhancements in search and discovery.

Hear how Rebag is leveraging GroupBy's powerful search capabilities to reduce customer frustrations, as well as working with GroupBy to explore up and coming AI advancements in conversational search:

Data Enrichment: Making the Catalog Smarter

Rebag's collaboration with GroupBy showcases the value of enriched data in enhancing the product discovery process. While Rebag has not yet adopted GroupBy's data enrichment services, they understand its impact on AI-first search. Roland highlights that enriched data modernizes the customer experience by making it easier for consumers to find products, thus boosting search performance and organic traffic. GroupBy's catalog-as-a-service product enrichment platform automatically enriches product listings, adding layers of data that might not have been captured initially. This enriched data directly translates into better search accuracy and increased relevance in recommendations, ultimately leading to higher conversion rates and customer satisfaction.

Olivier Hepner, Rebag's Chief Product and Technology Officer, underscores the importance of structured, clean metadata for successful AI-first product discovery, particularly in luxury resale. By focusing on rich metadata like condition details and pricing, Rebag optimizes its AI search capabilities, providing customers with highly relevant results. This approach also plays a critical role in SEO, improving organic search visibility and driving higher conversion rates, while ultimately enhancing revenue and customer satisfaction.

Watch this video clip of Roland describing how data plays a key role in boosting search accuracy, improving SEO, driving conversions, and enhancing the overall customer experience, as well as how AI-powered data enrichment can help retailers improve the quality of their product data at speed and scale.

Competitive Edge in the Resale Market

By choosing GroupBy, Rebag gained an advantage over competitors still reliant on legacy search engines like Solr or Elasticsearch. As Roland Gossage discussed, GroupBy's platform—built on Google's Vertex AI Search for Commerce—offers scalable and cost-effective features that keep pace with evolving eCommerce needs. GroupBy's adaptable, AI-first search platform equips Rebag with tools to stay ahead of the competition, as it can quickly adjust to market trends, incorporate advanced filtering options, and refine search results based on real-time data.

Hear from Roland as he describes how GroupBy's platform offers retailers a distinct competitive edge due to the powerful AI technology from Google that the platform is built on:

The Bottom Line: ROI and Business Impact

Beyond enhancing the user experience, Rebag has seen impressive returns on investment through its partnership with GroupBy. Hepner noted that Rebag's search revenue skyrocketed by over 50%, with revenue per search improving by 60%. Additionally, customer purchases increased by 24%, and average order value rose by 21%. These metrics highlight GroupBy's ability to drive sales and streamline customer journeys, creating a more personalized and engaging shopping experience that encourages repeat purchases and fosters long-term growth.

Hepner shared that this enhanced search capability has driven repeat purchases and customer loyalty, thanks to the platform's ability to create a more personalized and engaging shopping experience. With GroupBy's help, Rebag has not only grown its revenue but has also established a stronger foundation for long-term growth, keeping customers returning for their luxury resale needs.

Watch as Olivier describes how Rebag was able to test GroupBy's platform to evaluate the ROI and confirm that it was the right solution for their business:

No Need to Hesitate When it Comes to AI

While AI promises immense potential, its implementation can be daunting for many retailers. But with an easy to implement solution like GroupBy's, there's no need to hesitate about getting started with AI.

Rebag integrated GroupBy's AI-first search and product discovery platform in a relatively short timeframe. The process took about six weeks from signing the contract to launching an A/B test. Rebag's experience highlights the efficiency and effectiveness of GroupBy's implementation process, enabling rapid deployment and significant impact on business performance.

Listen as Olivier shares the specifics of their implementation process and reveals how quickly they were able to reap the benefits of GroupBy's platform:

Conclusion: The Power of AI-First Search for eCommerce

Rebag's journey with GroupBy demonstrates the game-changing potential of AI-first search for eCommerce. From increasing revenue per search by 50% to enriching product data and reducing search friction, GroupBy's platform is revolutionizing the luxury resale experience. This case study exemplifies how investing in AI-first technology can drive immediate returns and build a foundation for lasting growth and competitive advantage. By implementing cutting-edge AI technology, Rebag has transformed its customer experience, demonstrating the powerful impact that modern search platforms can have in meeting today's eCommerce challenges.

Watch the Full Webinar: To explore these insights and more, view the complete discussion with Olivier Hepner and Roland Gossage here.