Insights and strategies for delivering smarter, AI-driven search and merchandising experiences.
The article explores how LLMs can enhance search experiences by identifying synonyms that improve relevance. It highlights the challenge of aligning user queries with optimal results when direct matches fail, and how LLMs, with their advanced contextual understanding, can bridge this gap.
FindTuner 3.8 delivers powerful and flexible AI-driven hybrid search and synonym features that combine Solr’s precision with advanced vector search to deliver superior search results.
Drupal Commerce and Solr offer great search technology but with the right automation and business-user tools powered by FindTuner, you can achieve significant improvements in search performance to boost revenue, increase conversions, and drive growth.
It’s no secret that brand affinity — a shopper’s preference for a particular brand — can be one of the most potent drivers of purchasing decisions. For retailers, leveraging brand affinity to influence shopper behavior is paramount for success.
A conversation which highlights how Migros, one of the largest retailers in Switzerland, is applying machine learning to take customer personalization to the next level by delivering highly targeted and ultra-relevant results – something that conventional search algorithms just can’t do.
Most online retailers recognize the importance of artificial intelligence and machine learning technologies. Whether these companies use AI to maximum effect, however, depends on exactly how they integrate AI into their operations. Leveraging AI to address basic needs isn’t enough on its own to maximize conversion rates and revenue.
