E-Commerce
Order Status Agent
Let customers ask about their orders in plain English — and get a real, live answer in seconds. No logins, no menus, no waiting on hold. It reads straight from your own order system and replies like a helpful human would.
- Live in days
- Your data stays yours
- Answers in seconds
The problem
“Where is my order?” never stops
“Where's my order?” is the single most common support ticket in e-commerce — often 40% or more of your queue. Every one of those answers already lives in your order system. It just can't talk to customers directly.
So customers wait — on hold, on email, on a chat that takes hours to reply. The traditional fix, a custom chatbot, means hiring AI engineers, months of build time, and ongoing upkeep every time your API changes. Most teams can't justify it.
The fix
One agent, connected to your API
An Order Status Agent connects directly to your Orders API through MCP. A customer asks in their own words, the agent fetches live data, and replies in clear, friendly language — 24/7, in any phrasing.
You configure it once in the SentientOne dashboard. Your app sends a single request. No AI code, no model training, no prompt pipeline to maintain — and your order data never leaves your environment.
Out of the box
Real questions, real answers. However your customers phrase it.
The agent understands natural language and pulls live data — so it handles the messy, real-world ways people actually ask.
“Where's my parcel?”
Pulls live status and the latest tracking scan in seconds.
“Has order 5521 shipped yet?”
Confirms dispatch, carrier, and the estimated delivery date.
“My delivery is late — what happened?”
Explains the current hold-up and gives an updated ETA.
“When will it arrive?”
Returns the live delivery window for that specific order.
“What's my tracking number?”
Shares the tracking ID and a link to follow it live.
“Did my refund go through?”
Checks order state and routes edge cases to a human cleanly.
How it works
Four steps in the dashboard. The last one is a POST.
Create the agent
Add an agent, choose a model — GPT-4o, Claude, Gemini — and write a short system prompt that says what its job is. Five fields, no code.
Name
Provider
Model
Temperature
System Prompt
Connect your Orders API
On the agent's MCP tab, register your Orders API as an MCP server. SentientOne discovers the get_order_status tool on its own, and your credentials never leave your environment.
Name
Transport
URL
Auth Type
Test it in the Playground
Ask the questions your users actually ask. The agent calls your API, reads the live response and answers in plain language. Adjust the prompt until it reads the way you want.
Go live with one request
Copy your API key and POST from your app. There is no SDK to install — anything that can make an HTTP request is already supported.
Platform API key
API endpoint
POST /v1/chat
X-Api-Key: sk-live-•••
X-Agent-Id: order-status-agent
{ "message": "Where's my order ORD-5521?" }Why SentientOne
Why teams ship this with us. Instead of building it.
Ship it without an AI team
No ML hires, no prompt infrastructure, no model plumbing. You configure the agent in the dashboard — and we'll set up the MCP server that wraps your Orders API at no extra cost.
Your data stays in your estate
The MCP server runs on your infrastructure. SentientOne receives the tool response and nothing else — not your database, not your credentials, not your records. Self-host the whole platform if that's the requirement.
Works with the stack you have
Any REST or gRPC API connects through MCP. One HTTP endpoint covers React, Flutter, Python, .NET and Go — anything that can make a request. No SDK to adopt.
Change the model, not your code
Run GPT-4o today and Claude tomorrow by changing a dropdown. When your API changes you update one tool definition — no retraining, no redeploy.
“Order-status questions used to swallow half our support inbox. We had an agent answering them with live tracking in under a week — and our team finally got their day back.”
The outcome
What changes once it’s live.
- 60–70%
- of order-status tickets resolved automatically
- Days
- to deploy — no AI engineers required
- Private
- your data stays in your own environment
How long does it take to go live?
Most teams are answering real questions within days. There is no model to train and no AI pipeline to build — you connect your API and configure the agent.
Do we need AI engineers?
No. The agent is configured in the dashboard, and we'll set up the MCP server that wraps your Orders API at no extra cost.
Is our data safe?
The MCP server runs in your environment and returns only the specific tool response. Your database, your credentials and your raw records never reach SentientOne.
What happens with questions it can't answer?
You set the boundaries. Anything outside order status is handed to your team with the whole conversation attached, so nobody starts from scratch.
Which models can we use?
GPT-4o, Claude, Gemini, Llama, Mistral and Groq. Pick one from a dropdown and change it whenever you like — your prompts, tools and integration stay exactly as they are.
How does it reach our users?
One HTTP endpoint. Drop it into the chat widget, app or site you already run — React, Flutter, Python, .NET, Go, anything that makes a request.
Free white papers
Read the longer version.
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Turn your database into a conversation.
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Let users search your catalogue by describing what they want.
Get started
Build this one first. We’ll wire up the MCP server.
Bring the API you already run. Start the trial and configure the agent yourself, or walk through it with the team that built the platform.
14 days free · No credit card · Bring your own model keys