产品详细信息以英文显示。翻译即将推出。
速览
- 价格
- $499.00 USD
- magento_2 版本
- —
- 设置时间
- 20分钟
- 许可证
- 一次永久
- 语言
- 11 语言
一次性购买
AI Image / Visual Search
A custom-built Magento 2 / Adobe Commerce extension that lets shoppers upload or snap a photo and find visually similar products using AI image embeddings and pattern matching. Built, installed, and supported by ECOSIRE on your store.
$499.00USD
现在无需付款。此操作会向我们的团队发送报价请求——我们会通过邮件跟进价格和后续步骤。
核心功能
Image upload search returning catalog products ranked by visual similarity score
AI visual embeddings (vector representations) generated per product image for fast nearest-neighbor matching
Pattern and shape recognition that matches texture, silhouette, and color regardless of keyword text
Auto product tagging from visual cues to enrich layered navigation and faceting
Camera and mobile capture support so shoppers can snap a photo and search on the spot
Configurable similarity threshold in admin to tune result strictness (precision vs. recall)
Cron-driven background indexing job that embeds new and changed images without blocking catalog saves
Observer on catalog_product_save_after keeps the visual index in sync as products change
Service contract (ImageSearchInterface) exposing visual search over both REST and GraphQL endpoints
Plugin/interceptor injection into storefront search and PDP with no Magento core file edits
Admin ACL resource and system configuration section under Stores > Configuration for role-gated control
Works on Magento Open Source and Adobe Commerce, with optional Live Search alignment on Commerce
关于此产品
AI Image / Visual Search turns a photo into a query. Instead of guessing keywords, your shoppers upload an image — or snap one on mobile — and the extension returns the closest matching products from your catalog, ranked by visual similarity. It is purpose-built for fashion, furniture, and lifestyle merchants where look, shape, color, and pattern drive discovery far more than SKU text.
为什么选择 AI Image / Visual Search
Image upload search returning catalog products ranked by visual similarity score
AI visual embeddings (vector representations) generated per product image for fast nearest-neighbor matching
Pattern and shape recognition that matches texture, silhouette, and color regardless of keyword text
Auto product tagging from visual cues to enrich layered navigation and faceting
Camera and mobile capture support so shoppers can snap a photo and search on the spot
Configurable similarity threshold in admin to tune result strictness (precision vs. recall)
This is not an instant Adobe Commerce Marketplace download. It is a build-to-order extension: ECOSIRE builds the module against your Magento version, theme, and catalog structure, then installs and configures it on your environment. Technically it ships as a proper module under app/code/Ecosire/VisualSearch, wired with di.xml dependency injection, a custom service contract (ImageSearchInterface) so your storefront, REST, and GraphQL layers all call one stable API, and an admin ACL resource so only authorized roles touch configuration.
Under the hood, product images are converted to AI visual embeddings (vectors) during a backgrounded cron-driven indexing job, with an observer on catalog_product_save_after keeping the index fresh as the catalog changes. Pattern recognition and auto product tagging from visual cues enrich faceting. At query time, an uploaded image is embedded and matched against the index; a configurable similarity threshold controls how strict results are. A plugin/interceptor injects the visual-search entry point into your existing search and PDP without core edits.
Works on both Magento Open Source and Adobe Commerce (we adapt to Commerce-only features like Live Search where it makes sense). You get a clean upgrade path, documented config, and ECOSIRE support after go-live.
你得到什么
- Custom Magento 2 module delivered under app/code/Ecosire/VisualSearch, version-matched to your install
- Installation and configuration on your Magento environment (staging first, then production)
- Admin configuration section with similarity threshold, indexing controls, and ACL setup
- REST and GraphQL endpoints documented for headless/PWA storefront integration
- Initial catalog image embedding/index build plus the cron job that maintains it
- Storefront integration into your theme (upload widget, mobile camera capture, results rendering)
- Technical handover doc covering architecture, config, reindex commands, and upgrade notes
- Post-launch support window for bug fixes and Magento minor-version compatibility
这是给谁的
Fashion & apparel merchant
Sells visually-driven products where shoppers struggle to name a print, cut, or color. Wants 'find me something that looks like this' so customers discover lookalikes and reduce zero-result searches.
Furniture & home decor retailer
Has large catalogs where style and form matter more than SKU text. Needs shoppers to upload an inspiration photo and surface matching sofas, lamps, or rugs by shape and pattern.
Lifestyle / multi-brand store owner
Runs a broad catalog where keyword search underperforms on aesthetic intent. Wants AI visual search plus auto-tagging to improve discovery and on-site conversion without rebuilding their search stack.
安装概述
从ECOSIRE下载
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 AI Image / Visual Search 模块 ZIP。
上传至Odoo
将 ZIP 解压到服务器上的 Odoo 自定义插件文件夹中（或通过“应用程序”>“从 Odoo.sh / runbot 上的文件安装”上传）。
安装模块
激活开发者模式，打开应用程序，单击更新应用程序列表，搜索 AI Image / Visual Search，然后按安装。
配置设置
打开新菜单，粘贴您的 ECOSIRE 许可证密钥，连接任何外部凭据（Shopify、Amazon、Stripe 等），然后保存。
验证并上线
运行内置连接测试，同步前 10 条记录，并安排定期 cron。如果出现任何问题，请联系支持人员。
AI Image / Visual Search 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| Photo-upload visual search with similarity ranking | ||||
| AI visual embeddings + pattern/shape recognition | ||||
| Auto product tagging from visual cues | ||||
| Mobile camera capture support | ||||
| Built, installed & supported on your exact Magento/theme | ||||
| REST + GraphQL service contract for headless/PWA | ||||
| Configurable similarity threshold tuned to your catalog | ||||
| Instant self-serve download, no build wait |
关于AI Image / Visual Search的常见问题
+How long until the extension is live on my store?
Because this is build-to-order, ECOSIRE builds the module against your exact Magento version, theme, and catalog before installing. Typical delivery is roughly 2 to 4 weeks depending on catalog size, embedding model choice, and integration depth (standard Luma/theme vs. headless PWA via GraphQL). We confirm a firm timeline after a short scoping call, install on staging first, then promote to production.
+What ongoing support and updates do I get?
Every build includes a post-launch support window for bug fixes and compatibility with Magento minor releases. Because the module is isolated under app/code/Ecosire/VisualSearch with no core edits, Magento patches and most upgrades apply cleanly. ECOSIRE offers continued support and feature work after the initial window; we keep the service contract and admin config stable so updates don't break your storefront.
+Does it work on both Magento Open Source and Adobe Commerce?
Yes. The module is built on standard Magento 2 architecture (service contracts, di.xml, plugins, observers, ACL) so it runs on both Magento Open Source and Adobe Commerce. On Adobe Commerce we can align the visual results with Live Search/Catalog Service where it adds value, but the core visual matching does not depend on Commerce-only features.
+Where do the AI embeddings run, and does my catalog data leave my server?
We scope this with you. The embedding step can call an external AI provider (vectors only, not raw customer data) or run against a self-hosted model, depending on your data-residency and cost requirements. Product images are embedded during a cron-driven background job; queries embed the uploaded image and match it against your local vector index. We document exactly what is sent where before build.
+Will it slow down catalog saves or storefront performance?
No. Image embedding runs in a cron-driven background indexing job, not inline with catalog saves. An observer on catalog_product_save_after only flags changed products for re-embedding. At query time the storefront calls the service contract, which performs a fast nearest-neighbor lookup against the prebuilt index, so visual search adds minimal latency to the page.
为什么客户信任 ECOSIRE
SOC 2 对齐
符合 GDPR
安全条纹支付
30 天退款
终身更新
LGPL-3.0 许可证
相关模块
申请报价
AI Image / Visual Search
A custom-built Magento 2 / Adobe Commerce extension that lets shoppers upload or snap a photo and find visually similar products using AI image embeddings and pattern matching. Built, installed, and supported by ECOSIRE on your store.
- Image upload search returning catalog products ranked by visual similarity score
- AI visual embeddings (vector representations) generated per product image for fast nearest-neighbor matching
- Pattern and shape recognition that matches texture, silhouette, and color regardless of keyword text
- Auto product tagging from visual cues to enrich layered navigation and faceting