AIM plugs AI agents straight into your store, starting with nopCommerce. They know what's actually in your catalog, answer questions on your storefront, run on whatever schedule you set, and hand back a clean Markdown report when they're done, all inside guardrails you control.
Switch between roles below: see how a store goes live with agents, or how developers get one published to the marketplace.
AIM is not one do-everything chatbot. It is three focused agent types, each reading its own slice of your store, built from the capabilities listed below.
Keeps your product data current and searchable, so nothing it says is out of date.
Talks to shoppers on your storefront, inside the guardrails you set, using the model that fits the task.
Runs on whatever schedule you set and keeps a record of everything it did.
Twelve building blocks grouped by what they actually do for you, from keeping the catalog in sync to keeping a record of every run.
Agents read your live nopCommerce data instead of guessing.
Products, prices, variants, and stock stay mirrored from your store, so answers reflect what is live right now, not last week.
Structured lookups across categories, attributes, and specs return the exact SKUs a shopper asked for.
Embeddings match a shopper’s natural wording to the right products, even when none of those keywords appear in the listing.
Ask for revenue, order volume, or best sellers across any period and get numbers pulled straight from your own data.
A storefront assistant that stays on your catalog and on message.
A shopping assistant embedded in your storefront that answers from your catalog and hands over to a human when it should.
Topic, tone, and scope limits keep conversations on your store. Off-limits subjects and unsupported claims never reach a customer.
Each task goes to the model that fits it: fast, inexpensive models for lookups and stronger ones for reasoning and reports.
Agents reach your store through typed Model Context Protocol tools: validated inputs, scoped permissions, predictable outputs.
Run agents on your schedule, for your stores, with a record of everything.
Put any agent on a cron schedule (nightly catalog syncs, weekly sales digests, hourly inventory audits) or trigger it on demand.
Every execution is recorded with status, duration, tokens, and output, so you can trace exactly what an agent did and when.
Each store gets its own credentials, enabled agents, guardrails, and limits, all managed from one admin area.
Results come back as clean, formatted Markdown that's ready to export, archive, or drop straight into a team channel.
Beyond the capability list, here's what makes it safe to point at a live store.
Store credentials, agent traffic, and generated reports stay encrypted in transit and at rest, with scoped tokens so nothing leaks out.
No database migrations, no environment wrangling. Plug in your nopCommerce API credentials and the first catalog sync kicks off right away.
Agents answer from your synced catalog and order history, not generic model knowledge, so prices, stock, and product facts match what your store actually publishes.
Live execution status plus a permanent run history mean you can trace, replay, or audit any scheduled job, chat session, or report.
The Model Context Protocol keeps AIM model-agnostic and extensible. Swap providers, add new tools, or publish your own agent without touching the integration.
Everything you need to know about the process, security, and technical requirements.
Connect nopCommerce to AIM, switch on the capabilities you need, and let your agents handle the catalog, the questions, and the reporting.
Get Started With AIMAIM is built and maintained by nopStation, an enterprise eCommerce solutions provider.