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.
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 solution
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 SentientOne.
Live in days, not months.
Create the agent
In Agents, add a new agent, pick a model (e.g. OpenAI · gpt-4o), and write a short system prompt that defines its job.
Name
Provider
Model
Temperature
System Prompt
Connect your Orders API
On the agent's MCP tab, add your Orders API as an MCP server. SentientOne discovers the get_order_status tool — your credentials stay in your environment.
Name
Transport
URL
Auth Type
Test it in the Playground
Ask real questions in the Playground. The agent calls your API, reads the live response, and replies in plain language. Tweak the prompt until it's right.
Go live with one request
Grab your API key and send a single POST from your app. No AI SDK — anything that can make an HTTP request works.
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.
Not a 6-month engineering project.
No AI team required
Skip the ML hires, the prompt infrastructure, and the model plumbing. Configure the agent in the dashboard and you're done — we'll even set up the MCP server for you at no extra cost.
Your data stays yours
The MCP server runs on your infrastructure. SentientOne only receives the tool response — never your raw database, credentials, or records. Self-host the whole platform if you need to.
Works with your stack
Connect any REST or gRPC API through MCP. One HTTP endpoint plugs into React, Flutter, Python, .NET, Go — anything that can make a request. No SDK lock-in.
Switch models, never rebuild
Run GPT-4o today, Claude tomorrow — change it from a dropdown. When your API changes, you update one tool definition. No retraining, no redeploys.
“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 you get
60–70%
of order-status tickets resolved automatically
Days
to deploy — no AI engineers required
Private
your data stays in your own environment
Questions
Common questions
How long does it take to go live?
Most teams are answering real questions within a few days. There's no model training and no AI pipeline to build — just connect your API and configure the agent.
Do I need AI engineers?
No. The agent is configured in the dashboard, and we'll set up the MCP server that wraps your Orders API for you at no extra cost.
Is my data safe?
Yes. The MCP server runs in your environment and only returns the specific tool response. Your database, credentials, and raw records never reach SentientOne.
What happens for questions it can't answer?
You define the boundaries. Anything outside order status is handed off cleanly to your team with full context.
Which models can I use?
GPT-4o, Claude, Gemini, Groq and more. Pick one from a dropdown and switch any time — your setup and integration stay exactly the same.
How does it reach my users?
One HTTP endpoint. Drop it into your existing chat widget, app, or site — React, Flutter, Python, .NET, Go, anything that makes a request.
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