Now available: Vector search from FactFinder for smarter product discovery

Using internally operated language models, vector search ensures both high performance and data security. It captures the underlying intent of descriptive queries, showing relevant products even when the product data feed doesn’t match the exact words. With a true semantic understanding, vector search helps shoppers easily find exactly what they’re looking for, improving their experience while boosting business outcomes.

With this latest development, FactFinder strengthens its position as a leader in product discovery. Vector search is not a replacement but a powerful expansion: it complements the company’s advanced AI technologies, including Worldmatch® for phonetic string matching and Atlas AI for real-time relevance and 1:1 personalization, by adding a semantic layer.

eCommerce search is broken, and FactFinder is fixing it. Its unique hybrid AI understands meaning, buying intent and individual preferences, delivering smarter, more profitable product discovery where traditional search falls short. Businesses no longer need to choose between linguistic precision and contextual understanding. FactFinder applies the right method at the right time for every search. It handles all queries and ranks results to match customer requirements and business priorities. Hence, it delivers an unparalleled online shopping experience and generates sales from typically low-converting queries.

FactFinder doesn’t pursue innovation for its own sake, but to create tangible value for online shop owners and their customers. They worked closely with eCommerce businesses to test and refine vector search in real online shops, and it consistently delivered more relevant results. It handled common challenges like synonyms, long-tail queries, multilingual terms and loosely worded or intent-based searches. Companies shared direct feedback, which FactFinder used to fine-tune the semantic layer to reflect how people really search.

Since the language models are operated entirely offline within the FactFinder infrastructure, all data remains under the business’s control. Vector search therefore meets the highest standards for performance, transparency and data security.

“Vector search is another milestone on our mission to redefine product discovery and search in eCommerce. This semantic technology extends our established AI portfolio – including Atlas AI, Predictive Basket and AI Guided Selling – with a core feature that unites relevance, personalization and transparency. Online shoppers’ expectations are rising steadily, and meeting them requires continuous, practical innovation.Working closely with our customers comes naturally to us – because real innovation only happens where technology meets real needs.”– Kristie Collins, CEO of FactFinder

FactFinder’s combination of precise keyword search, personalized real-time relevance and empathetic semantic understanding marks a new era in eCommerce product discovery. The launch of vector search opens new paths for businesses to connect meaningfully with their shoppers – enabling more confident purchase decisions, stronger loyalty and future-ready experiences. And this is only the beginning. FactFinder’s upcoming AI and LLM innovations will continue to redefine what’s possible in product discovery – giving businesses a clear advantage in a rapidly evolving eCommerce world.