AI Shopping Assistant Chatbot

核心功能

Conversational assistant trained on your live Magento catalog, attributes, CMS policy pages and order history — context retrieved through service contracts, never hard-coded

Natural-language product Q&A: shoppers ask in plain language and get answers grounded in real product data, customer-group pricing and website-scoped stock

AI product recommendations and cross-sell that lift AOV, reading related/upsell links and catalog attributes via ProductRepositoryInterface

Authenticated order status, shipment tracking and invoice/PDF retrieval — gated to the logged-in customer's session, sourced from OrderRepositoryInterface

Guided discovery and side-by-side product comparison driven by configurable attributes (size, compatibility, material, etc.)

Multilingual responses honoring Magento store views, so the assistant replies in the shopper's storefront language

Server-side LLM brokering: your provider API key lives in encrypted Magento config, never exposed to the browser

Cron-driven catalog re-indexing plus a catalog_product_save_after observer to keep the knowledge base fresh after edits

Admin configuration panel under Stores > Configuration behind a dedicated ACL resource (model, tone, fallback rules, escalation email)

Human-handoff fallback: when confidence is low or the topic is sensitive, the bot offers to create a support ticket or hand off to your team

Frontend widget built as a Magento UI block — themeable, responsive, and scoped per store view, no third-party iframe

Conversation logging and analytics tables so you can review intents, gaps and unanswered questions

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。

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。

我们构建与安装

ECOSIRE 在您的 Magento 2 上构建、配置并安装。

上线 + 支持

约 2–4 周内上线，并提供上线后的支持期。

关于此产品

The AI Shopping Assistant Chatbot is a build-to-order Magento 2 module (Magento Open Source and Adobe Commerce) that drops a conversational assistant onto your storefront, trained on your catalog, CMS policy pages and order data — not a generic bot bolted on from a SaaS tab.

ECOSIRE ships it as a proper module under app/code/Ecosire/AiShoppingAssistant, wired through dependency injection (di.xml), service contracts for catalog and sales access, and a thin storefront UI block. Product, price and stock context is read through Magento's repositories (ProductRepositoryInterface, OrderRepositoryInterface) and the GraphQL/REST layer, so answers reflect live catalog state, customer group pricing and website scope. Indexing and embedding refreshes run on Magento cron, and an observer on catalog_product_save_after keeps the assistant's knowledge current as you edit products.

Because it reads order and account data, the assistant respects customer sessions and ACL — order status, tracking and invoice retrieval only surface for the authenticated customer, and admin configuration sits behind a dedicated admin ACL resource in Stores > Configuration. The LLM call is brokered server-side so your API key never reaches the browser.

This is honest build-to-order: there is no instant Adobe Commerce Marketplace download. After purchase, ECOSIRE scopes the assistant to your theme and catalog, builds it, installs it on your Magento instance (or hands you a clean Composer package), and supports it. You get a working assistant configured to your store, not a zip to wrestle with alone. The $249 price is a one-time build fee; your LLM provider usage (OpenAI, Anthropic, or a self-hosted model you choose) is billed by that provider directly.

你得到什么

A custom Magento 2 module (Ecosire/AiShoppingAssistant) under app/code or as an installable Composer package, compatible with your Magento Open Source or Adobe Commerce version

Installation on your Magento instance (setup:upgrade, di:compile, static content deploy) or a clean handoff package with install instructions

Catalog/policy training pipeline configured against your actual products, attributes and CMS pages

Admin configuration wired into Stores > Configuration with ACL, plus documented system.xml settings

Storefront chat widget integrated into your theme and store views, RTL-aware where applicable

Source code, README, and a short admin walkthrough; 30 days of post-launch bug-fix support included

这是给谁的

Mid-market store owner drowning in pre-sales questions

Runs a Magento Open Source catalog of thousands of SKUs and loses sales to unanswered 'will this fit / is it in stock / what's the difference' questions outside business hours. Wants a 24/7 assistant that actually knows the catalog and nudges shoppers toward a buy.

Adobe Commerce merchandiser focused on AOV

Owns conversion and basket size on an Adobe Commerce store. Wants AI-driven recommendations and guided discovery that respect customer-group pricing and catalog rules, surfacing cross-sells in conversation to lift average order value.

Support lead deflecting repetitive WISMO tickets

Fields a flood of 'where is my order' and invoice-retrieval requests. Needs the bot to securely answer order-status, tracking and invoice questions for authenticated customers, and cleanly hand off the rest to the human team.

AI Shopping Assistant Chatbot 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 live catalog, policies and order data	包含	部分支持	部分支持	不包括在内
Secure authenticated order status / invoice retrieval via service contracts	包含	部分支持	部分支持	不包括在内
Built, installed and supported on your Magento instance	包含	包含	不包括在内	不包括在内
Instant self-service download from Adobe Commerce Marketplace	不包括在内	不包括在内	包含	不包括在内
Multilingual responses honoring Magento store views	包含	部分支持	部分支持	不包括在内
Server-side LLM brokering (API key never in browser)	包含	部分支持	部分支持	不包括在内
Full source code, no SaaS lock-in on the extension	包含	包含	不包括在内	包含
Low upfront cost vs. bespoke agency development	包含	不包括在内	包含	包含

关于AI Shopping Assistant Chatbot的常见问题

How long until the chatbot is live on my store?

This is build-to-order, not an instant download. Typical delivery is about 10 to 15 business days from kickoff: a few days to scope your catalog, theme and provider, then build, internal QA, and installation on your Magento instance (or handoff of a clean Composer package). Larger catalogs or heavy customization may extend that, and we confirm the timeline in writing before we start.

What support and updates do I get after launch?

The build includes 30 days of post-launch bug-fix support for issues in the delivered module. Beyond that, we offer optional retainer plans covering Magento version compatibility upgrades, LLM provider/model changes, prompt tuning and new feature work. Because we ship real source code, your own team can also maintain it — there is no SaaS lock-in on the extension itself.

Does this work on Magento Open Source or only Adobe Commerce?

Both. The module is built on standard Magento 2 architecture — service contracts, di.xml, observers, GraphQL/REST and cron — so it runs on Magento Open Source and Adobe Commerce. We confirm your exact version (e.g. 2.4.x) at scoping and target that, including Adobe Commerce features like customer segments where relevant.

Where does the AI run, and is my data or API key exposed?

The LLM call is brokered server-side from your Magento backend; the provider API key is stored in Magento's encrypted configuration and never reaches the browser. You choose the provider (OpenAI, Anthropic, or a self-hosted model). Order and account data is only read for the authenticated customer's own session, and admin settings sit behind a dedicated ACL resource.

Is the $249 the total cost, or are there ongoing fees?

The $249 is a one-time build fee for the extension, scoped to a standard catalog and theme integration. The only ongoing cost is your LLM provider's usage, billed directly by that provider based on conversation volume. Optional support retainers and major customizations beyond the standard scope are quoted separately and are entirely up to you.