示意预览A 24/7 AI support chatbot for Magento 2 and Adobe Commerce, trained on your live catalog and policies.
Built, installed, and supported by
ECOSIRE on your own store.
什么是 AI Chatbot (Catalog-Trained)？
A 24/7 AI support chatbot for Magento 2 and Adobe Commerce, trained on your live catalog and policies. Built, installed, and supported by ECOSIRE on your own store. Built to order by ECOSIRE for Magento 2 / Adobe Commerce (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.
核心功能
按需定制，全程代劳
无需自行搭建——由 ECOSIRE 构建、安装并提供支持的可用应用。
- 1
您下单
以一次性构建价格开始。我们在启动时与您共同确定范围。
- 2
我们构建与安装
ECOSIRE 在您的 Magento 2 上构建、配置并安装。
- 3
上线 + 支持
约一个工作周内上线，并包含两周上线支持。我们交付的代码中的缺陷免费修复。
关于此产品
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.
你得到什么
- 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
这是给谁的
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.
AI Chatbot (Catalog-Trained) 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | Magento 2 原生 |
|---|---|---|---|---|
| Trained on your actual live catalog, prices, and published policies | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| Authenticated order tracking & invoice access via Magento service contracts | 包含 | 部分支持 | 不包括在内 | 不包括在内 |
| Multi-LLM choice incl. self-hosted open-source for data residency | 包含 | 包含 | 不包括在内 | 不包括在内 |
| Built, installed, and supported on your store by the vendor | 包含 | 部分支持 | 不包括在内 | 不包括在内 |
| Upgrade-safe module (di.xml, plugins, ACL) — no core hacks | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| GraphQL/REST for headless PWA Studio storefronts | 包含 | 部分支持 | 部分支持 | 包含 |
| Instant self-service download & install | 不包括在内 | 不包括在内 | 包含 | 包含 |
| Full source-code ownership delivered to you | 包含 | 包含 | 不包括在内 | 包含 |
关于AI Chatbot的常见问题
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 one working week 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.
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AI Chatbot
A 24/7 AI support chatbot for Magento 2 and Adobe Commerce, trained on your live catalog and policies. Built, installed, and supported by ECOSIRE on your own store.
- 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