イメージプレビューAn AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language
shopper intent — built, installed and supported by
ECOSIRE on your store.
AI Semantic / NLP Searchとは？
An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language shopper intent — 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.
主な機能
受注生産、すべておまかせ
自分での設定は不要 — ECOSIRE が構築・インストール・サポートする実働アプリです。
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ご注文
一回限りの構築料金から始めます。キックオフで一緒に範囲を決めます。
- 2
構築とインストール
ECOSIRE がお客様の Magento 2 上で構築・設定・インストールします。
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本番稼働 + サポート
約1週間（営業日ベース）で稼働し、本番稼働後2週間のサポートが付きます。納品したコードの不具合は無償で修正します。
この製品について
Magento 2's native fulltext search (MySQL or, on Adobe Commerce, Elasticsearch/OpenSearch) matches literal keywords and tokens. A shopper who types "warm jacket for hiking in the rain" gets nothing useful, and your zero-result and bounce rates climb on exactly the queries that signal high purchase intent.
AI Semantic / NLP Search is a custom Magento 2 module ECOSIRE builds and installs under app/code/Ecosire/SemanticSearch. It generates vector embeddings (OpenAI or a self-hosted model) for your catalog and ranks results by semantic meaning, not string overlap. It plugs into Magento's search the right way — a plugin/interceptor around the search results provider plus an observer on catalog_product_save_after to keep embeddings fresh, with a cron job for bulk re-indexing — so it survives upgrades and respects your existing theme and layout.
Because every Magento install differs (Open Source vs Adobe Commerce, your attribute set, your search UI, your catalog size, your data-residency rules), this is build-to-order, not a one-click Marketplace download. After purchase we run a short scoping call, build against your version and infrastructure, install on your staging environment, validate relevance with your real catalog, then deploy to production with you.
What you get: semantic relevance ranking, natural-language query understanding with typo tolerance, automatic synonym/intent detection, a search-analytics and zero-result dashboard behind Magento admin ACL, and configurable relevance weighting per attribute (name, description, brand, category) exposed in Stores → Configuration. Embeddings are also reachable via GraphQL/REST so headless and PWA Studio storefronts work too. We do not claim a magic uplift number — results depend on your catalog and traffic, and we measure against your own zero-result baseline.
得られるもの
- Custom Magento 2 module installed under app/code/Ecosire/SemanticSearch (or supplied as a Composer package for your deploy pipeline)
- di.xml, plugins, observer and cron wiring; full source code with no encryption or license lock-in beyond the ECOSIRE build agreement
- Admin configuration section under Stores → Configuration with per-attribute weighting and embedding-provider settings, gated by admin ACL
- Search analytics + zero-result reporting dashboard in the Magento admin
- GraphQL/REST API extensions for headless and PWA storefronts
- Installation on your staging environment, relevance validation against your real catalog, then supervised production deployment
- Setup and admin-usage documentation plus a short handover walkthrough
- Post-launch warranty window and a support/maintenance option for ongoing updates and Magento version compatibility
これは誰のためのものですか
Large-catalog conversion lead
Owns on-site search KPIs for a 10k+ SKU store where a large share of revenue comes from search. Wants to cut zero-result queries and capture long-tail, natural-language intent without hand-maintaining synonym files.
Magento technical lead / solution architect
Needs a clean, upgrade-safe integration — plugins and observers, not core rewrites — that fits their CI/CD, supports Adobe Commerce, and exposes search via GraphQL for their headless storefront.
Merchandising / category manager
Lives in the admin and wants to tune which attributes matter most for relevance and see exactly which searches return nothing, so they can fix catalog gaps and improve findability.
AI Semantic / NLP Search の比較方法
| 基準 | エコシエール | カスタムビルド | 競合他社 | Magento 2 標準機能 |
|---|---|---|---|---|
| Embedding-based semantic relevance (understands meaning, not just keywords) | 付属 | 部分的なサポート | 部分的なサポート | 含まれていない |
| Natural-language query + typo/misspelling tolerance out of the box | 付属 | 部分的なサポート | 付属 | 部分的なサポート |
| Automatic synonym/intent detection without manual synonym lists | 付属 | 部分的なサポート | 部分的なサポート | 含まれていない |
| Built, installed and validated on YOUR Magento by the vendor | 付属 | 部分的なサポート | 含まれていない | 含まれていない |
| Configurable per-attribute relevance weighting in admin (ACL-gated) | 付属 | 部分的なサポート | 部分的なサポート | 部分的なサポート |
| Zero-result + search analytics dashboard in Magento admin | 付属 | 部分的なサポート | 付属 | 含まれていない |
| GraphQL/REST exposure for headless / PWA Studio storefronts | 付属 | 部分的なサポート | 部分的なサポート | 付属 |
| Self-hosted embedding option for data residency | 付属 | 部分的なサポート | 含まれていない | 含まれていない |
| Instant download with no build wait | 含まれていない | 含まれていない | 付属 | 付属 |
| No recurring third-party SaaS subscription required | 部分的なサポート | 付属 | 含まれていない | 付属 |
AI Semantic / NLP Search に関するよくある質問
How long does delivery take, and what's the process?
Typical lead time is one working week from the scoping call, depending on your catalog size, Magento edition, and infrastructure. The flow is: short scoping call → build against your exact version → install and validate on your staging environment with your real catalog → supervised production deployment. We confirm a firm timeline in writing before any work starts. This is build-to-order — there is no instant Marketplace download.
Do you provide ongoing support and updates after launch?
Yes. Every build includes a post-launch warranty window to fix any defects at no charge. Beyond that we offer an optional support and maintenance plan covering Magento/Adobe Commerce version-compatibility updates, embedding-provider changes, relevance tuning, and bug fixes. You own the full source code, so you are never locked to us — but most merchants keep us on for upgrades.
Does this work on both Magento Open Source and Adobe Commerce?
Yes. The module integrates through standard extension points (plugins/interceptors, observers, service contracts) that exist in both editions. It coexists with your existing Elasticsearch/OpenSearch indexing rather than replacing your infrastructure. We confirm your exact version and search engine during scoping and build to match.
What does the AI cost to run, and where does my catalog data go?
Embeddings can use a hosted provider like OpenAI (you supply the API key; ongoing cost depends on catalog size and re-index frequency) or a self-hosted open model if you have data-residency requirements that keep everything inside your own infrastructure. Indexing cost is mostly one-time per product change; per-query embedding cost is small. We size and explain the expected cost during scoping.
Will this break on the next Magento upgrade?
It's built to avoid that. There are no core-file edits — integration is via di.xml, plugins, an observer on catalog_product_save_after, and a cron job. If the embedding service is ever unreachable, search gracefully falls back to Magento's native results so the storefront never goes dark. Major-version upgrades may still need a compatibility pass, which the support plan covers.
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AI Semantic / NLP Search
An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language shopper intent — built, installed and supported by ECOSIRE on your store.
- AI embedding-based semantic relevance ranking (OpenAI or self-hosted model) that scores products by meaning, not keyword overlap
- Natural-language query understanding with built-in typo and misspelling tolerance
- Automatic synonym and shopper-intent detection — no manual synonym lists to maintain
- Search analytics and zero-result reporting dashboard behind Magento admin ACL