AI-Native E-commerce
Discovery Engine.

Revolutionizing E-commerce Discovery with Agentic RAG & Amazon Bedrock.

ShopQuery.link is positioned as: "AI-Native E-commerce Discovery Engine - Semantic Search & Intelligent Shopping Infrastructure Powered by Large Language Models"

Query:

The AI Stack

Semantic Understanding

Leverages large language models to understand users' ambiguous intentions (e.g., when a user searches for "outfits suitable for a beach vacation", the system automatically matches sunglasses, swimwear, and sunscreen).

Vector Search

Uses Amazon OpenSearch Service (Vector Engine), a highly recommended cloud-native search technology by AWS, to achieve precise semantic matching.

Real-time Personalization

Utilizes Amazon Personalize or custom LLM logic for real-time recommendations, dynamically adjusting search results based on user behavior and preferences.

High-Scale Scenarios

Multimodal Search

Supports users uploading images to search for products (this involves computer vision models that consume GPU computing power). Users can upload a fashion photo to find products with similar styles.

Autonomous Shopping Assistant

An AI Agent that can converse with users, handle after-sales service, and dynamically adjust recommendation strategies based on real-time inventory.

Cross-border Catalog Translation & Optimization

Uses AI to automatically localize and optimize descriptions for tens of thousands of products for SEO, supporting multi-language market expansion.

Vertical AI Backbone

ShopQuery isn't a general chatbot. It's a specialized agent trained on retail datasets, integrated directly into your inventory and pricing engines.

Low-Latency Indexing via AWS Lambda
Real-time Data Sync with AppSync & DynamoDB
Fraud & Policy Guardrails with AWS Shield
Inference Response 200ms
Query: "beach vacation outfits"
AI Analysis: Understanding context and intent
Sunglasses
Swimwear
Sunscreen
Recommendation: 3 products matched based on semantic intent

# Fetch recommended products via AI Agent

GET /api/v1/shopquery/recommend

{

"intent": "beach_wedding",

"budget_max": 200,

"user_context": { "size": "M", "location": "NYC" }

}

One-Line Integration

Connect ShopQuery to Shopify, Magento, or your custom headless commerce stack with a single JS snippet. Fully optimized for AWS CloudFront for sub-second delivery worldwide.

  • Shopify Private App Support
  • Headless API Endpoints
  • Serverless Architecture Support

Designed for AWS Architecture

User

→

CloudFront

→

Lambda

→

Bedrock (LLM)

→

OpenSearch (Vector Storage)

Scaling Retail Intelligence

ShopQuery is applying for the AWS Activate portfolio. Our architecture is designed to utilize p4d.24xlarge instances for fine-tuning our proprietary retail-LLM and Amazon SageMaker for multi-modal embedding generation.

AMAZON BEDROCK AWS OPENSEARCH AMAZON SAGEMAKER