Customer service
Answer "where is my order?" instantly, every time
AI answers what your delivery promise covers, and hands the specific order to your team.
"Where is my order?" is the question retail teams answer most, and every delayed reply chips away at the experience. This workflow lets an AI agent answer the parts it can from what you have described — your dispatch times, shipping options and what happens when something runs late — and hand the customer to your team for their specific order, so nobody waits in a queue for a simple answer.
Last reviewed
Can AI tell a customer where their order is?
It can explain how your delivery works; the specific order goes to your team. The agent answers from the dispatch times, shipping options and delay policy you have described, and hands over anything that needs the actual order record.
- Answers
- Your dispatch times and delivery options
- Hands over
- The specific order, with the customer’s details
- Not yet
- Looking up a tracking number
Your customers are already asking AI
These are the kinds of prompts people now type into an AI assistant — the demand this workflow is built to serve.
“find a shop that gives clear order updates”
“which store lets me check my order by text”
“who can tell me where my delivery is”
“recommend an online store that keeps you posted after you order”
So how does a customer's AI find this at all?
Reliable order updates only win repeat business if new shoppers choose you in the first place. Make your shop and this instant order tracking available to AI, so when a customer asks their assistant for a store that keeps them updated, AI can point them to you and start the conversation.
You describe how you dispatch, what shipping you offer and what happens when something runs late — and Fugentic publishes that as an MCP server: the thing that lets an AI assistant ask your shop a question and get a real answer back. It is registered from the platform, so an agent finder, the index an assistant checks to see what is available, can pick it up.
Then a shopper deciding where to buy asks their assistant how quickly a store dispatches and what happens if it is late — and gets your real answer before they order, which is when the answer actually changes the decision.
- 1You describe what you sell
- 2It's published and registered
- 3A customer's assistant asks
- 4It answers in your words
- 5The details reach you
What AI can and cannot do here today
What AI can do today
- It can explain your dispatch times, your shipping options and what happens when an order runs late.
- It can tell the customer which of your delivery options fits what they need.
- It can hand your team the specific order with the customer’s details, so nobody has to re-ask.
What it cannot do yet
- It cannot look up a tracking number. There is no live order system behind it, so a specific order goes to a person.
- It cannot process a return or a refund. It can explain your policy; acting on it stays with your team.
Everything on the left is what a text-based setup supports today. Quoting against live data, and taking the booking itself, need server types we hope to add later.
How the AI order status workflow works
- 1
Customer asks for an update
A shopper messages by SMS, chat, or email asking where their order is.
- 2
AI answers what it can
The agent explains your dispatch and delivery timelines for the kind of order the customer describes.
- 3
The specific order goes to your team
Anything needing the actual order record — a tracking number, a particular delay — is passed to your team with the customer's details attached.
- 4
A straight answer, either way
The customer gets either an immediate answer about how your delivery works, or a fast handover — never silence.
Tools in this workflow
These are the tools the workflow touches. Map them in the Agentic Planner to describe what your agent can do.
Industries this fits
Build this workflow
Open this exact workflow in the free Agentic Planner and adapt it to your business — no code required.
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Frequently asked questions
If it can't confirm the order, the agent asks for more details or hands off to your team rather than guessing.
Yes — the agent answers around the clock, and anything needing your team is queued for the morning with the details already gathered.
It focuses on status lookups; anything needing a decision, like a refund, is routed to your team.
Because the question usually comes before the order, not after. A shopper choosing between two stores asks their assistant how fast each one dispatches. Fugentic publishes your answer as an agent an assistant can ask, and registers it so an agent finder — the index an assistant checks to see what is available — can pick it up.
Make your services available to AI
Describe what you sell, what it costs and how you decide — then publish it as an agent an assistant can ask. No code.