Product discovery
Combine catalog attributes with narrative guidance to narrow options without inventing availability.
Solution pattern · Ecommerce
AI agents for ecommerce journeys grounded in live data
Help shoppers discover products, understand policies, and resolve order questions using approved knowledge and your current commerce APIs.
- AI agents for ecommerce
- ecommerce AI agent
- AI shopping assistant
Where it can help
AI agents for ecommerce: practical use cases
These are implementation patterns, not claims about unnamed customers. The exact scope depends on your systems, permissions, controls, and acceptance criteria.
Order support
Look up order status through authenticated, tenant-aware tools.
Guided actions
Prepare changes or returns and ask for confirmation before consequential calls.
Reference architecture
Secure AI agents: control at every boundary
SyntheticBrew handles reasoning and orchestration. Your application remains responsible for authentication, domain authorization, and the data or actions exposed through each tool.
- Storefront, app, or embedded widget
- Supervisor plus catalog and order specialists
- Product knowledge and MCP commerce tools
- Catalog, inventory, order, and customer systems
Production controls included
- Per-agent tool and MCP server scoping.
- Forwarded JWT, organization, user, and tenant context.
- Confirmation gates before consequential actions.
- Structured events for progress, errors, and completion.
- Self-hosted or Cloud deployment with your choice of LLM.
Other solution patterns
More AI agent use cases
Choose how you want to ship.
Evaluate the workflow in Cloud, run the open-source engine on your infrastructure, or book your personal sales call for a delivered implementation.