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AI Shopping Assistant Chatbot — A catalog-trained AI chatbot extension for Magento 2 / Adobe Commerce that answers product qu — 1/1Örnek önizleme

A catalog-trained AI chatbot extension for Magento 2 / Adobe Commerce that answers product questions,

recommends items, retrieves order status and resolves support 24/7 — custom-built, installed and supported by

ECOSIRE on your store.

AI Shopping Assistant Chatbot nedir?

A catalog-trained AI chatbot extension for Magento 2 / Adobe Commerce that answers product questions, recommends items, retrieves order status and resolves support 24/7 — custom-built, installed and supported by ECOSIRE on your 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.

Temel Özellikler

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

Siparişe özel, sizin için baştan sona

Kendiniz kurmanıza gerek yok — ECOSIRE tarafından geliştirilen, kurulan ve desteklenen çalışır bir uygulama.

  1. 1

    Sipariş verirsiniz

    Tek seferlik geliştirme fiyatıyla başlayın. Kapsamı başlangıçta sizinle birlikte belirleriz.

  2. 2

    Geliştirir ve kurarız

    ECOSIRE, Magento 2 ortamınızda geliştirir, yapılandırır ve kurar.

  3. 3

    Yayına alma + destek

    Yaklaşık bir iş haftasında yayına alırsınız; canlıya geçiş sonrası iki hafta destek dahildir. Teslim ettiğimiz koddaki hatalar ücretsiz düzeltilir.

Bu Ürün Hakkında

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 $999 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.

Ne elde edeceksin

  • 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; two weeks of go-live bug-fix support included

Bu kimin için

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 Nasıl Karşılaştırılır

KriterECOSIREÖzel YapıRakipMagento 2 Yerleşik
Trained on your live catalog, policies and order dataDahilKısmi destekKısmi destekDahil değil
Secure authenticated order status / invoice retrieval via service contractsDahilKısmi destekKısmi destekDahil değil
Built, installed and supported on your Magento instanceDahilDahilDahil değilDahil değil
Instant self-service download from Adobe Commerce MarketplaceDahil değilDahil değilDahilDahil değil
Multilingual responses honoring Magento store viewsDahilKısmi destekKısmi destekDahil değil
Server-side LLM brokering (API key never in browser)DahilKısmi destekKısmi destekDahil değil
Full source code, no SaaS lock-in on the extensionDahilDahilDahil değilDahil
Low upfront cost vs. bespoke agency developmentDahilDahil değilDahilDahil

AI Shopping Assistant Chatbot hakkında Sıkça Sorulan Sorular

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 two weeks of go-live 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 $999 the total cost, or are there ongoing fees?

The $999 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.

Teklif isteyin

AI Shopping Assistant Chatbot

A catalog-trained AI chatbot extension for Magento 2 / Adobe Commerce that answers product questions, recommends items, retrieves order status and resolves support 24/7 — custom-built, installed and supported by ECOSIRE on your store.

  • 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

Teklif isteyin

AI Shopping Assistant Chatbot ihtiyaçlarınızı bize anlatın; fiyatları, lisans seçeneklerini ve size özel bir teklifi genellikle bir iş günü içinde gönderelim.

Şimdi ödeme yok. Bu, ekibimize bir teklif talebi gönderir — fiyat ve sonraki adımlarla e-posta ile dönüş yapacağız.