Overview
Bridge the gap between technical complexity and customer intent with our AI Product Discovery & Semantic Search API. Designed specifically for B2B manufacturers and distributors, this solution moves beyond rigid keyword matching to deliver deep semantic understanding of your product catalog. By leveraging Amazon Bedrock foundation models, the API interprets natural language queries—such as "heavy-duty waterproof fasteners for marine environments"—to retrieve highly relevant SKUs, even when the customer doesn't use exact part numbers or industry jargon. This results in reduced search abandonment, higher conversion rates, and a superior digital experience for professional buyers managing catalogs of up to 1M+ items.
Our solution simplifies the search-to-order journey by automating SKU attribute extraction and technical specification mapping. The API intelligently parses dimensions, compatibility, and material specs from unstructured data, enabling dynamic filtering that traditional engines miss. To ensure search results align with your bottom line, the engine supports custom re-ranking logic based on real-time availability, profit margins, or strategic business rules. This API-first service is built to scale alongside your business, providing a drop-in enhancement for Adobe Commerce (Magento), Shopify Plus, and custom-built B2B portals.
AWS Service Integration This product is natively integrated with and powered by Amazon Bedrock, utilizing its advanced text embeddings and foundation models for vector-based similarity search and intent detection. It also leverages Amazon OpenSearch Service (or Amazon Kendra) for high-performance indexing and AWS Lambda for serverless API orchestration.
Highlights
- Precision Semantic Search via Amazon Bedrock: Replace rigid keyword matching with advanced semantic search and intent detection that understands technical B2B vocabulary, ensuring customers find the right SKUs even without exact part numbers.
- Automated SKU Attribute Extraction: Leverage AI to automatically extract and map complex dimensions, compatibility specs, and material data from unstructured catalogs, enabling hyper-accurate natural-language filtering for large catalogs
- Business-Logic Re-ranking: Optimize your search results by combining vector-based similarity with real-time business rules, allowing you to prioritize products based on inventory availability, profit margins, or strategic promotions.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
Support is delivered through a direct, high-touch model with real-time communication available via a dedicated Slack channel or email. Contact us at office@bitstone.com for more information or to schedule a technical discovery session.