Retail
Agentic AI for Retail
Someone three blocks away is asking an assistant where to get the thing you have on the shelf. It answers from a directory entry, because that is all it has.
Shopping assistants are getting good at comparison and are still bad at anything local, because local is where the data runs out. An assistant can find the product; what it cannot do is tell someone which nearby store carries it, in what sizes, and whether the door is open. Fugentic lets you describe your selection, your brands, what you can special-order, and how your store actually operates — so when an assistant is figuring out where to send someone, there is something of yours to send them to. The category name for this is agentic commerce — assistants that do the finding, comparing and arranging on a shopper's behalf. Most of that is still being built. The part that works today is narrower: being described well enough that an assistant can answer accurately on your behalf, and hand over a hold request instead of a guess.
Your customers are already asking
The kind of prompt people now put to an assistant instead of a search box. Today it answers about you from whatever it found. That is the part you can change.
- Which store near me actually carries this in a 42?
- Where can I buy replacement filters for this model today?
- Is there somewhere in town that stocks the brand and takes returns in store?
- Who near me sells this and could hold one for me?
- What time does this store close on Sundays?
What a shopper's assistant can ask your store
What you carry, in your own words
Brands, categories, the sizes and variants you normally carry, what you can special-order, and how long that takes. An assistant working from this describes your store; an assistant working from a directory describes a category.
The details that decide whether they come in
Store hours including the awkward ones, buy online and pick up in store, whether returns are handled at the counter, parking, which entrance. These are the questions that determine whether someone walks over, and they are rarely available on the open web.
Hold requests and product questions
A shopper can ask whether something suits their situation and, if it does, send a hold or reservation request through the conversation — with the model, the size and their name attached. It arrives for you to confirm.
How your business gets into the AI Agent Index
An assistant can already find the product. Being in the AI Agent Index is how it learns that you are the store that has it.
You describe what you sell, what it costs, what you take on and what you turn down — in plain language, through a guided setup, with no code anywhere. Fugentic turns that into an MCP server: the thing that lets an AI assistant put a question to your business and get your answer back instead of the web's guess about you. We host it, keep it answering, and register it from the platform, so an agent finder — the index an assistant checks to see what is out there — can pick it up.
What it does not do, plainly: it takes no payments, holds no slot, and reads nothing live out of your systems. It represents you accurately, helps a customer work out whether you are right for them, and hands the next step to you.
- 01
You describe it
Your services, your prices, your rules and the questions you would ask a customer. A guided form, not a config file.
- 02
It becomes an agent
That description is published as a working AI agent and hosted here. You never run a server or write a line of code.
- 03
It gets registered
It is registered from the platform into the AI Agent Index, so an agent finder can read what your business can answer.
AI agent use cases for your business
Browse all use cases →AI review response automation
Reply to every review quickly and on-brand — without it eating your day
Answer "do you carry it" before they walk out
AI answers what you stock, in which sizes and colors, the moment a shopper asks — no hold music, no guessing.
Answer "where is my order?" instantly, every time
AI answers what your delivery promise covers, and hands the specific order to your team.
Fill your personal-shopping calendar without the back-and-forth
AI captures preferences and availability, then hands you the session request ready to confirm.
Turn sold-out into a second chance
AI captures back-in-stock requests so the right customer hears when the item returns.
Turn "help me find" into the right product
AI asks what the shopper actually needs, matches it to your range, and points them to you.
Frequently asked questions
No. Today's agents answer from what you have described, not from a live connection to your POS system. So describe stock the way you would to a customer on the phone — what you normally carry, what is seasonal, what you special-order — and let the assistant pass along a hold request rather than promise that a specific unit is on the shelf.
No, but it helps them most, because online catalogs are already crawlable and sales floors are not. If you run both a store and a website, what matters most is usually the thing only you know: what is actually in the store right now versus what is in the warehouse.
No. Start with what people ask for and what you are known for — the brands, the categories, the things that bring someone in. A precise description of forty things beats an unusable dump of four thousand, and you can extend it as you learn what people ask.
No. It can describe what you carry, answer questions about sizes, returns or store hours using what you have written, and pass a hold request to you to confirm. It cannot take payment, quote a binding price, or complete a purchase. Fugentic hosts text-based MCP servers — the part that answers a question and hands a request over, not the part that handles checkout.
Start describing your business to AI
Set up your services and your rules once, and get an agent that answers for your business in your own words. Free to start, no code, no engineer.