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Aurevion AI
AUREVION AI
E-Commerce • Enterprise Connector

How We Integrate AI Shopping Assistants with Shopify Stores

Architecture & Data Flow

How We Connect AI Systems to Shopify

We index your Shopify product catalog, collections, and policy pages into an in-VPC vector store using Shopify Storefront GraphQL queries. On the storefront, our lightweight conversational UI allows shoppers to discover products. For post-purchase inquiries, the bot uses the Shopify Admin API to fetch order status using customer phone or email verification.

Technical Constraints

API Boundaries, Authentication & Latency SLAs

Endpoint Architecture
Shopify Admin GraphQL API & Storefront API (2024-10 release)
Authentication Protocol
Custom App API Access Tokens with Storefront Access Tokens
Latency SLA
Sub-250ms product search response; 99.99% uptime
Data Retention Policy
Zero customer order caching; live read-through verification
Event Handlers

Supported Shopify Events & Webhooks

products/create & products/update (triggers instant vector catalog re-index)
products/delete (removes discontinued items from search index)
orders/fulfilled (triggers automated customer notification flows)
Zero-Trust Security Controls

How We Protect Your Shopify Data

  • Shopify HMAC header verification on all inbound catalog sync webhooks.
  • Customer verification code (OTP) required before revealing sensitive order details.
  • Storefront API tokens used for client-facing queries, isolating Admin API keys.
Deployment Roadmap

How We Deploy This Integration in 5 Steps

01.Create a custom Shopify App with read_products and read_orders scopes.
02.Run initial catalog ingestion, vectorizing titles, tags, descriptions, and variant specs.
03.Deploy chat widget on your Shopify theme via app embed block or Next.js headless storefront.
04.Configure return and shipping policy RAG ingestion for instant customer service deflection.
05.Execute test purchases in staging development store to verify order tracking flows.
Integration FAQ

Key Integration Questions Answered

Does this work with headless Shopify setups (Next.js / Hydrogen)?

Yes. Our conversational components are built with modern React and TypeScript, making them drop-in compatible with headless Next.js, Remix, Hydrogen, or traditional Liquid themes.

How does the bot prevent recommending out-of-stock items?

Our vector search applies a live metadata filter (inventory_quantity > 0 AND available_for_sale = true) before returning recommendations, ensuring only purchasable items appear.

Related Engineering Practice

AI Chatbot Development

Learn how we build end-to-end production architectures powered by this integration.

Explore Service
Entity Verification • Aurevion AI Ltd.

About Aurevion AI

Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.

100% Client IP OwnershipUS, GB, EU

Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.

Core Engineering Practices
AI Chatbot DevelopmentRAG & Private Knowledge SearchAI Agents & Workflow AutomationCustom Software DevelopmentEnterprise Web & Mobile ApplicationsCloud Migration & DevOps
Deployable in your AWS, Azure, or GCP private VPC.