Transforming E‑Commerce with AI: Join Our Webinar to See How Vespa Delivers Smarter Search and Recommendations
E‑commerce is evolving rapidly, and traditional search systems struggle to keep up. As product catalogs grow and customer expectations shift toward real-time, personalized experiences, many retailers are constrained by outdated infrastructure. Companies like Vinted, Farfetch, and Otto.de have experienced the limits firsthand: slower queries, delayed indexing, and rising operational costs. Vespa.ai provides a new approach. As a cloud-native, AI-powered platform, Vespa unifies search, recommendations, and real-time personalization—helping retailers deliver tailored shopping experiences that convert and scale.
Live Webinar: Unlock the Future of eCommerce – May 8, 2 PM CET
On May 8 at 2 PM CET, we’re hosting a live webinar, Unlock the Future of eCommerce, to explore how Vespa supports AI-powered search and recommendation at scale. You’ll hear from Vinted, Europe’s largest second-hand marketplace, on how they transformed their search and personalization stack to support over 1 billion listings, accelerate performance, and reduce infrastructure costs.
Vespa’s engineering team will also showcase advanced use cases—from agentic commerce to Retrieval-Augmented Generation (RAG)—highlighting how Vespa supports intelligent search across diverse content types like text, images, and video.
Vespa: One Platform for Search, Recommendations, and AI
Originally developed for Yahoo! to handle massive-scale search and recommendation workloads, Vespa is an open-source platform and is now available as a managed cloud service. Unlike legacy systems that rely on multiple disconnected tools, Vespa integrates full-text search, vector search, structured filtering, machine-learned ranking, and real-time recommendations into one cohesive engine.
Its architecture keeps latency low by performing computations where the data resides—eliminating the overhead of moving data between systems. Vespa has been proven at scale by companies like Yahoo and Vinted, serving hundreds of thousands of queries per second. For retailers, this means a simplified stack and a flexible foundation to build advanced, AI-native customer experiences.
The Vinted Story: Scaling with Vespa
Vinted offers a compelling example of what’s possible with a modern search platform. As Europe’s largest marketplace for pre-owned fashion—with over 120 million users and 1 billion active listings—Vinted reached the limits of its Elasticsearch-based setup. Query latencies rose, indexing delays grew, and infrastructure costs mounted.
Migrating to Vespa led to measurable gains:
- Search latency improved 2.5×
- Indexing time dropped from 5 minutes to just 5 seconds
- Candidate item pool for ranking tripled, improving relevance and engagement
- Server footprint was halved, reducing infrastructure costs
- Gross merchandise value increased by €3.5 million, purely through better search
These improvements enhanced the user experience and drove clear business value. In the webinar, Vinted’s engineering team will share how they transitioned, what they learned, and why Vespa is now central to their plans.
Join the Conversation: Vespa.ai E‑Commerce Webinar – May 2025
Retailers are rethinking how they deliver search and recommendations—and this webinar is your opportunity to see how a unified, AI-native approach is driving results at scale. Whether you’re a CTO, CDO, or a product or engineering leader in retail, you’ll gain insight into how platforms like Vespa enable faster innovation, smarter personalization, and real business impact.
Expect practical takeaways, architectural insights, and real-world lessons from the teams building and running modern AI search systems. Bring your questions, benchmark your approach, and explore how Vespa can help your business move beyond the limits of legacy search. Please register here.
Looking forward to seeing you there,
Jurgen
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