AI Chatbot (Catalog-Trained)

Key Features

Retrieval-grounded answers from your live catalog, indexed through ProductRepositoryInterface and category/CMS content so the bot quotes real SKUs, prices, and attributes

Conversational product recommendations and side-by-side comparisons driven by your attribute set, stock status, and price rules

Authenticated order status and shipment tracking via OrderRepositoryInterface, gated behind the Magento customer session so no order data leaks to anonymous users

Invoice PDF retrieval and one-click support-ticket creation for logged-in customers through ACL- and session-guarded controllers

Multi-LLM provider layer (OpenAI, Google Gemini, or self-hosted Llama/Mistral via OpenAI-compatible endpoint) selectable in admin for cost and data-residency control

Incremental catalog and policy re-indexing on a cron schedule, with a plugin/interceptor on catalog save to keep embeddings fresh after product edits

Frontend chat widget injected via layout XML and a Knockout/UI-component block — themeable to match your storefront, RTL-aware, mobile-responsive

Admin configuration section under Stores → Configuration with dedicated ACL resources for prompts, escalation thresholds, rate limits, and encrypted API keys

Policy-aware responses (shipping, returns, warranty) sourced from CMS blocks/pages so the bot never invents a policy you didn't publish

Human-handoff and escalation rules: low-confidence or sensitive intents route to a support ticket or live agent instead of hallucinating

GraphQL and REST endpoints so the same assistant can power a headless PWA Studio storefront or a mobile app

Conversation logging and analytics (resolved vs. escalated, top intents) stored in custom tables, exportable for review

Multi-store-view aware: respects store scope, website, and customer-group pricing in every answer

Rate limiting and prompt-injection guards on the chat endpoint to protect your LLM spend and prevent abuse

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

You order

Start with a one-time build price. We scope it with you at kickoff.

We build & install

ECOSIRE builds, configures and installs it on your Magento 2.

Go live + support

You go live in about 2–4 weeks, with a post-launch support window.

About this Product

AI Chatbot (Catalog-Trained) is a custom-built conversational assistant for Magento 2 Open Source and Adobe Commerce that answers shoppers in real time using your catalog, your policies, and your live order data — not a generic web widget bolted on top.

This is a build-to-order engagement, not an instant Adobe Commerce Marketplace download. ECOSIRE builds the module under app/code/Ecosire/AiChatbot, wires it into your store via di.xml dependency injection, registers a frontend chat block through layout XML, and exposes a clean service-contract API so the bot reads product, policy, and order data through Magento's own repositories — never raw SQL. We then install it on your environment, configure it, and support it.

Under the hood the bot indexes your catalog via ProductRepositoryInterface and category/CMS content, syncs incrementally on a cron schedule, and resolves order questions through OrderRepositoryInterface after verifying the logged-in customer session. A plugin (interceptor) on the catalog save flow keeps the embedding index fresh; observers on sales_order_save_after let the bot surface live tracking. Admin staff get a dedicated ACL-gated configuration section under Stores → Configuration for prompts, escalation rules, and LLM keys.

It is multi-LLM: connect OpenAI, Google Gemini, or a self-hosted open-source model (Llama / Mistral via an OpenAI-compatible endpoint) so you control cost and data residency. Conversations the bot can't resolve convert into Magento support tickets or a handoff, and authenticated shoppers can pull invoice PDFs through guarded controllers.

Honest scope: every store's theme, catalog size, and policy set differ, so we scope each build before quoting beyond the base price. You own the code outright on delivery.

What you get

A custom Magento 2 module under app/code/Ecosire/AiChatbot, composer-installable, with registration.php, module.xml, and semantic versioning

Full installation and configuration on your Magento 2 / Adobe Commerce environment (staging first, then production) by an ECOSIRE engineer

Admin configuration UI with ACL roles, encrypted LLM credential storage, and per-store-view settings

Catalog/policy indexing pipeline with cron jobs and a manual reindex CLI command (bin/magento ecosire:chatbot:reindex)

Themeable frontend chat widget integrated into your current theme, plus GraphQL/REST endpoints for headless use

Connector for your chosen LLM provider (OpenAI, Gemini, or self-hosted open-source) configured with your keys

Technical handover documentation: architecture notes, config reference, prompt-tuning guide, and upgrade-safe customization points

Source code ownership transfer and a post-launch support window (see FAQ) for fixes and tuning

Who this is for

DTC merchant drowning in repetitive support tickets

Runs a mid-size Magento 2 catalog and answers the same 'where is my order / what's your return policy / which size fits' questions all day. Wants the bot to deflect routine tickets 24/7 while escalating the genuinely complex ones to a human.

Conversion-focused store owner

Treats the chatbot as a sales assistant — wants grounded product recommendations and comparisons that nudge undecided shoppers toward checkout, using real stock and pricing rather than generic FAQ scripts.

Magento agency or in-house developer

Needs a maintainable, upgrade-safe module that respects service contracts, plugins, and ACL — not a hacked-in third-party widget. Values owning the source and getting clean handover docs so the team can extend it later.

How AI Chatbot (Catalog-Trained) Compares

Criterion	ECOSIRE	Custom Build	Competitor
Trained on your actual live catalog, prices, and published policies	Included	Partial support	Partial support
Authenticated order tracking & invoice access via Magento service contracts	Included	Partial support	Not included
Multi-LLM choice incl. self-hosted open-source for data residency	Included	Included	Not included
Built, installed, and supported on your store by the vendor	Included	Partial support	Not included
Upgrade-safe module (di.xml, plugins, ACL) — no core hacks	Included	Partial support	Partial support
GraphQL/REST for headless PWA Studio storefronts	Included	Partial support	Partial support
Instant self-service download & install	Not included	Not included	Included
Full source-code ownership delivered to you	Included	Included	Not included

Frequently Asked Questions about AI Chatbot (Catalog-Trained)

Is this an instant download from the Adobe Commerce Marketplace?

No. This is a build-to-order engagement. ECOSIRE custom-builds the module against your catalog, theme, and policies, then installs and configures it on your Magento 2 or Adobe Commerce environment. There is no instant Marketplace download — you get a tailored module and hands-on setup instead of a generic package.

How long until it's live on my store?

Typical delivery is roughly 2 to 4 weeks after we scope your catalog size, theme, LLM provider, and policy sources. We build and test on a staging copy of your store first, walk you through it, then deploy to production. Larger catalogs, headless PWA storefronts, or custom escalation workflows can extend the timeline, which we confirm in the scoping call before any work beyond the base price.

What ongoing support and updates are included?

The base build includes a post-launch support window for bug fixes and prompt tuning after go-live. Because you own the source code, your own team can also maintain it. Beyond the included window, ECOSIRE offers optional support and maintenance retainers covering Magento version upgrades, LLM provider changes, and feature additions. The LLM API usage itself (OpenAI/Gemini tokens, or your self-hosted compute) is billed by your provider, not by us.

Which LLM does it use, and who pays for the API?

You choose: OpenAI, Google Gemini, or a self-hosted open-source model (Llama or Mistral via an OpenAI-compatible endpoint) for full data residency control. Keys are stored encrypted in Magento admin config. The model API or compute cost is your provider's bill; ECOSIRE builds the integration layer and never marks up your token usage.

Will it work with Adobe Commerce and a headless PWA Studio storefront?

Yes. The module runs on both Magento Open Source and Adobe Commerce and respects multi-store-view scope and customer-group pricing. For headless setups, the assistant exposes GraphQL and REST endpoints so a PWA Studio or mobile app can drive the same catalog-trained bot. We confirm your exact stack during scoping.

Is customer and order data safe?

Order, invoice, and account data is only served to an authenticated customer session, read through Magento's service contracts (OrderRepositoryInterface, etc.) rather than raw SQL. The chat endpoint is rate-limited with prompt-injection guards, admin settings are ACL-gated, and if you pick a self-hosted model, no catalog or customer data leaves your infrastructure.