Adaptive Transformer Search (ATS) by Particular Audience is an AI-powered search solution designed to solve the $300 billion problem of poor eCommerce search performance. Built on transformer models—the same technology behind OpenAI’s GPT and Google Translate—ATS understands real-life search intent and delivers hyper-relevant results. It eliminates zero-result queries, automates synonym rules, and dramatically improves search attribution and conversion rates.

Features

• Transformer-Based Search Engine: Uses advanced LLMs to understand semantic meaning and intent behind customer queries.
• Zero-Search Rescue: Automatically resolves queries that would otherwise return no results.
• Synonym Automation: Eliminates the need for manual synonym rule creation and redirects.
• Real-Time Relevance Optimization: Continuously adapts to user behavior and product catalog changes.
• Plug-and-Play Integration: Easily integrates into existing eCommerce platforms.
• Search Attribution Tracking: Measures impact on revenue and conversion from search interactions.
• Multi-Modal Compatibility: Works seamlessly with PA’s personalization, retail media, and product bundling tools.
• Case Study Proven: A leading electronics retailer saw a +21.7% lift in search attribution and rescued 373 zero-result queries with a 98% CTR.

Benefits

• +70% Reduction in Zero Search Results: Ensures customers always find relevant products.
• +20% Increase in Search Revenue: Drives higher engagement and monetization through improved relevance.
• +13.4% Increase in Search Click Conversion Rate: Converts more searches into purchases.
• -99% Reduction in Manual Work: Automates synonym rules and query handling.
• Improved Customer Experience: Delivers intuitive, accurate search results that reflect real-world intent.
• Scalable Across Catalogs: Handles large and dynamic product inventories with ease.
• Enhanced Attribution: Demonstrates clear ROI through increased revenue and engagement metrics.