E-commerce & operations
An AI agent for inventory, orders and e-commerce operations
An e-commerce operations agent answers questions from your single source of truth (catalog, inventory, orders) and takes the next action by calling tools: checking stock, placing an order, routing a wholesale request, instead of just chatting. The demo below shows the agent doing exactly that, with every tool call and result visible so each action is auditable.
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E-commerce Ops Agent
Ask about stock and orders; watch the agent check the live data and take the next action.
Why this matters now
Commerce and 3PL teams run on scattered systems for catalog, inventory, orders and billing, while customers expect instant, accurate answers and actions. A chatbot that guesses stock or places a wrong order is worse than none. The value is an agent grounded in one source of truth that can act safely, without leaking one customer's data into another's.
How the reliable version works
- 1Unify catalog, inventory, orders and customers behind one data layer, the single source of truth.
- 2Give the agent typed tools (check_inventory, get_order, place_order, route), each scoped to the current tenant.
- 3The agent plans, calls the tools it needs, and shows each call and result as a step.
- 4It stays grounded: it never invents stock, never over-promises, and confirms irreversible actions.
- 5Strict multi-tenant isolation and PII controls ensure it only ever sees and acts on the current customer.
Common questions
How is this different from a normal chatbot?
A chatbot answers text. An agent takes actions: it calls tools to check inventory, place an order, or route a request, and grounds every answer in your real data. The demo shows each tool call and result, so nothing is a black box.
How do you stop it placing wrong orders or leaking data?
Two ways. It is grounded strictly in the data layer, so it cannot invent stock or orders, and it confirms irreversible actions rather than assuming. And multi-tenant isolation is enforced at the data layer with per-tenant scoping and access controls, so the agent only ever sees the current customer, never another client's data.
Can it integrate with Shopify or our order system?
Yes. The tools map onto your real systems (Shopify, a POS or inventory platform, an order-management API). I build the agent, the tools and the tenant-safe data layer, typically on AWS with Claude or an open model doing the function calling.
Related demos, work and services
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