AI shopping agents
for retail ecommerce.
Retail research has moved into the assistant. Shoppers ask ChatGPT, Gemini, and Perplexity which model, which size, which store — and an agent answers from structured supply. Nile puts your assortment on that shelf across banners, brands, and regions, with governance a retail team can defend and every order completing in your own checkout.
Why retailers need this now
The categories where shoppers research hardest — electronics, home, outdoor, wellness, apparel — are the categories where AI has already become the research tool.
Assortment breadth is wasted
A deep, multi-brand assortment is only an advantage if an agent can compare it. PDPs written for search rarely carry the attributes, fit, and availability an agent needs.
Every banner competes for one shortlist
An assistant returns two or three options, not a results page. Private label and house brands have no outside brand marketing to lean on — they are shortlisted on structured assortment data or not at all.
Governance can't be per channel
Pricing rules, regional availability, and brand claims must be identical in every assistant. Retail teams need one control plane, not one integration per rail.
How an agent shops your assortment
The shopper asks an assistant
“A quiet dishwasher that fits a 24-inch space, in stock near Denver, under $900” — attributes, location, availability, and budget are parsed up front.
The agent compares across brands and stores
Your compiled assortment is queried on the terms the shopper used: specifications, price, in-store and online availability, delivery and pickup options, return policy.
Your rules shape the answer
Banner, region, and category rules — plus approved brand claims and promotions — are applied identically in ChatGPT, Gemini, Perplexity, and private agents.
The order completes on your store
After the shopper confirms, checkout completes on your site with your payment provider and fulfilment options. Customer, order, and loyalty data stay in your systems.
What Nile publishes for agents
Multi-brand catalog
Every SKU across brands and private label with the category attributes agents compare on — specs, sizing, materials, compatibility, energy ratings.
Price, stock & fulfilment
Current price and promotions, online and store availability, delivery and pickup eligibility by location — refreshed on your sync cadence.
Brand & banner context
Approved claims, buying guides, reviews, and policies structured so an agent can explain why a product fits — in your voice, per banner.
Checkout hand-off
Agent-carried carts complete on your own store on the rail each assistant supports, after buyer confirmation.
Attribution & ranking
Completed-sale attribution per banner, region, and assistant, plus ranking tracked across query sets and intents.
ACP, UCP, MCP, Skills
One compiled assortment published to every rail — see the Nile Agentic Protocol.
Fits a retail stack
| Your setup | How Nile connects | What stays yours |
|---|---|---|
| Shopify or Shopify Plus, multi-store | App per store; one console across stores and regions | Storefronts, checkout, loyalty, POS |
| Enterprise commerce platform or PIM | Feed or API; catalog, price, and inventory sync automatically | Platform, PIM, pricing engine, OMS |
| Headless or custom stack | Connect by API; see headless commerce | Checkout and order pipeline, unchanged |
Multi-brand, multi-store, and multi-region operations, roles and permissions, and audit trails are covered on the enterprise page.
What it does for the business
Reach shoppers where research now starts
Be shortlisted inside the assistants shoppers use to compare, not just on the results page they no longer visit.
Make assortment breadth count
Every SKU across brands becomes comparable on the terms agents use; ranking follows real sales signal.
Keep the order and the customer
Checkout on your site, fulfilment through your options, customer and loyalty data in your systems.
Governance you can defend
Rules per banner and region enforced once, audit trails on every change, attribution that survives finance review.
Governance across banners and regions
A retailer inherits the same baseline as any Nile store (the shopper confirms every purchase, price and stock are rechecked at checkout, only completed click-through sales are billed, each assistant is measured in a sandbox — detailed on agentic commerce for merchants). On top of that, retail needs governance:
Banner & regional rules
Availability, pricing, and claims are enforced per banner and region on every rail, so a shopper in one market never sees another market's price or promise.
Roles, permissions, audit
Scoped access for every teammate and agent action, with audit trails of who — or what — changed anything, from one console across all stores.
Live systems, not feeds
Price, promotions, and store or online availability are read from your live systems and rechecked at checkout — never from a nightly export.
Implementation steps
Connect stores and catalog
Apps, feeds, or API per store and region; Nile consolidates into one console.
Set banner and brand rules
Claims, pricing and availability rules, regional restrictions, and guardrails in plain language.
Review agent sessions
Watch how assistants shortlist and describe your assortment per region; adjust context, not code.
Go live and report
Publish to every rail; track ranking and attributed orders per banner and assistant.
Questions retail teams ask
What are AI shopping agents for retail?
Assistants — ChatGPT, Gemini, Perplexity, and private agents — that research, compare, and buy on a shopper's behalf. For a retailer they are a demand source that reads structured assortment data rather than web pages, and buys through your own checkout when the shopper confirms.
Can we run this across several banners, stores, and regions?
Yes. Multi-brand, multi-store, and multi-region operations run from one console with rules per banner and region, scoped permissions, and audit trails. See the enterprise page.
Do agents see store availability and pickup options?
Yes, where your systems expose them. Online and store availability, delivery, and pickup eligibility by location are compiled into the context agents compare on.
How do promotions and price changes reach agents?
Price and promotions sync on your cadence and are rechecked at cart and checkout, so agents quote current prices and never transact against a stale one.
Do loyalty points, store credit, and promotions still apply to agent orders?
Yes, because the order completes in your own checkout: whatever loyalty accrual, store credit, or promotion logic runs there applies to an agent-initiated order exactly as it would to one from your site or app.
How is an agent order attributed to a banner, store, or region?
To the catalog the agent transacted against: each banner and region publishes its own context, so attributed sales and per-channel ranking are reported at that level and can be reconciled against the corresponding store's orders. The billing rule is the same everywhere — click-through, completed sales only; see the enterprise page for how it stands up to finance review.
More solutions
The same backend, framed for the team that is asking. Enterprise controls for all of them are on the enterprise page.
Merchants & brands
Make a single store readable and buyable for AI shopping agents.
Marketplaces
Expose multi-seller inventory to agents with seller rules and routing intact.
Product discovery
Give agents the attributes, availability, and fit signals they compare on.
Headless & custom stacks
Connect a custom or headless storefront by API without touching checkout.
Run agentic commerce as a retail channel.
No setup fee. No retainer. Commission only on completed, attributed sales.
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