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Kısa bilgiler
- Fiyat
- $499.00 USD
- ERPNext versiyonları
- —
- Kurulum süresi
- 30 dk.
- Lisans
- Bir kerelik kalıcı
- Diller
- 11 language
Tek Seferlik Satın Alma
ERPNext AI Listing & Catalog Optimizer
A build-to-order Frappe app that turns your ERPNext Items into optimized, per-marketplace listings — AI-generated titles, bullets, descriptions, keywords, and translations — reviewed and published from inside ERPNext. ECOSIRE scopes, builds, installs, and supports it; it is not an instant download.
$499.00USD
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Temel Özellikler
AI title/bullet/description generation per marketplace, driven by each channel's character-limit and formatting rules stored on a `Marketplace Channel` DocType
Per-Item-per-channel `AI Listing` DocType so one `Item` master fans out into many reviewable listings without mutating the source record
Generation via whitelisted server-side methods (`@frappe.whitelist()`) that pass Item fields, attributes, and brand as structured LLM context — no keys or prompts in the browser
Channel-aware keyword & SEO suggestions: Amazon backend search terms within the byte budget, eBay item specifics, Etsy tags
Multi-language listing translation producing locale-native copy, with target locales configurable per channel
Channel-specific attribute completion that maps from the Item's existing attribute set and surfaces missing required fields for human review
A/B title and bullet variant suggestions stored side by side for merchandiser comparison and selection
Draft → Approved workflow with a dedicated Role and Role Profile so copywriters draft and only managers publish
`hooks.py` `on_update` doc event on `Item` marks dependent listings stale when the source master changes
`scheduler_events` background jobs for overnight batch generation, keyword refresh, and stale-listing regeneration
Full Frappe REST API + whitelisted-method access so existing channel integrations pull approved listings on their own schedule
API keys and provider config isolated in a `Listing Optimizer Settings` single DocType, encrypted per Frappe conventions
Client scripts add per-Item generate/regenerate/compare-variants actions directly in the ERPNext desk UI
Token-usage and generation logging per listing for cost visibility and prompt auditing
Compatible with Frappe/ERPNext v15 and v16, packaged as a standard installable Frappe app
Bu Ürün Hakkında
Multichannel sellers running ERPNext hit the same wall: the Item master holds one canonical name, description, and a pile of attributes, but Amazon wants keyword-dense bullets and backend search terms, eBay wants an 80-character title and item specifics, Etsy wants tags and a story-led description, and every channel wants it in the buyer's language. ERPNext core has no concept of a per-channel listing, no title/bullet length rules, no keyword research, and no translation workflow — so teams end up hand-writing copy in spreadsheets or straight into each marketplace's Seller Central, which does not scale past a few hundred SKUs and rots the moment an Item changes.
Neden ERPNext AI Listing & Catalog Optimizer
AI title/bullet/description generation per marketplace, driven by each channel's character-limit and formatting rules stored on a `Marketplace Channel` DocType
Per-Item-per-channel `AI Listing` DocType so one `Item` master fans out into many reviewable listings without mutating the source record
Generation via whitelisted server-side methods (`@frappe.whitelist()`) that pass Item fields, attributes, and brand as structured LLM context — no keys or prompts in the browser
Channel-aware keyword & SEO suggestions: Amazon backend search terms within the byte budget, eBay item specifics, Etsy tags
Multi-language listing translation producing locale-native copy, with target locales configurable per channel
Channel-specific attribute completion that maps from the Item's existing attribute set and surfaces missing required fields for human review
ECOSIRE builds a proper Frappe app (ecosire_listing_optimizer) that adds this missing layer natively. A Marketplace Channel DocType defines each destination's rules (title/bullet character limits, required attributes, tone, locale), and a child-table-backed AI Listing DocType stores the generated title, bullets, long description, keyword set, and A/B variants per Item per channel — so one Item fans out into many reviewable listings without touching the source master. Generation runs through whitelisted server-side methods (@frappe.whitelist()) that call your chosen LLM provider with the Item's fields, attributes, brand, and the channel's ruleset as structured context; API keys live in a Listing Optimizer Settings single DocType, never in client code. hooks.py doc events (on_update on Item) flag listings as stale when the source Item changes, and a scheduler_events cron can batch-regenerate or refresh keyword suggestions overnight so the catalog never drifts.
The workflow is review-first, not fire-and-forget. Content generates into a Draft state; a merchandiser edits inline, compares A/B title/bullet variants, and approves — governed by a dedicated Role and Role Profile so copywriters can draft while only a manager can mark Approved. Keyword and SEO suggestions are channel-aware (Amazon backend search terms and character budget, eBay item specifics, Etsy tags), channel-specific required attributes are auto-completed from the Item's existing attribute set with gaps surfaced for a human, and multi-language translation produces locale-native listings rather than machine-literal strings. Everything is reachable over the Frappe REST API and the whitelisted methods, so your existing channel-integration or middleware can pull approved listings and push them outward on its own schedule.
Because this is build-to-order, you get an app shaped to your channels, attribute model, LLM provider, and languages — not a generic download. After a short scoping call we confirm the marketplaces, the DocType and field mapping to your Item master, the tone and compliance rules, and the target locales; ECOSIRE then builds, tests on a staging bench, and installs on your Frappe/ERPNext v15 or v16 site. Typical delivery is 2–4 weeks from confirmed scope. You receive the full app source in a Git repository, documentation, a training session, and a post-go-live support window — you own and can extend everything we ship.
Ne elde edeceksin
- Installable Frappe app source (`ecosire_listing_optimizer`) built for your channels, attribute model, and LLM provider
- Installation and configuration on your ERPNext site, including `Listing Optimizer Settings` and channel rulesets
- Technical documentation: DocType schema, hooks, whitelisted methods, scheduler events, and REST endpoints
- User guide plus a live training session for merchandisers and administrators
- UAT on a staging bench with a documented test plan and a rollback plan before production install
- Post-go-live support window for defect fixes and configuration adjustments
- Git repository handover with full commit history so you own and can extend the code
- Prompt and channel-rule templates you can tune per marketplace after handover
Bu kimin için
Multichannel e-commerce manager
Runs the same ERPNext catalog across Amazon, eBay, and Etsy and needs channel-correct titles, bullets, and keywords generated at scale instead of hand-written per marketplace.
Catalog / merchandising lead
Owns listing quality and consistency across thousands of SKUs; wants a review-first Draft→Approved workflow with A/B variants and stale-listing flags tied to Item changes.
Cross-border seller expanding into new locales
Sells into multiple language markets and needs locale-native translated listings generated from the ERPNext Item master, not literal machine translations pasted into Seller Central.
ERPNext administrator / systems owner
Maintains the Frappe bench and integrations; needs a proper app with clean DocTypes, whitelisted methods, role-based permissions, and REST access their existing channel middleware can consume.
Kuruluma genel bakış
ECOSIRE'dan indirin
Lisansı ecosire.com adresinden satın alın ve hesap kontrol panelinizden ERPNext AI Listing & Catalog Optimizer uygulamasının ZIP dosyasını indirin.
Uygulamayı bankınıza ekleyin
ZIP dosyasını tezgahınızın uygulamalar klasörüne çıkarın veya çıkarılan uygulamanın yolunu içeren "bench get-app" komutunu çalıştırın.
Sitenize yükleyin
ERPNext AI Listing & Catalog Optimizer yüklemek ve şemasını uygulamak için `bench --site SITE_NAME install-app APP_NAME` komutunu ve ardından `bench move'u çalıştırın.
Lisansınızı etkinleştirin
Sitenizdeki ECOSIRE Lisans ayarlarını açın ve lisans anahtarınızı etkinleştirin. Ücretsiz ecosire_connect ve ecosire_license_client uygulamalarını gerektirir.
ERPNext AI Listing & Catalog Optimizer Nasıl Karşılaştırılır
| Kriter | ECOSIRE | Özel Yapı | Rakip | Odoo Yerlisi |
|---|---|---|---|---|
| Per-channel listings | Dedicated `AI Listing` DocType per Item per channel | Possible but you design the data model yourself | Often one description field, not true per-channel | |
| AI copy generation | Titles, bullets, descriptions via whitelisted server methods | Build and maintain the LLM integration in-house | Varies; many are template/rule-based, not AI | |
| Keyword & SEO suggestions | Channel-aware (Amazon terms, eBay specifics, Etsy tags) | Only if you build the research logic | Generic keyword help at best | |
| Multi-language translation | Locale-native listings per channel | Wire up a translation pipeline yourself | Rarely listing-aware; often literal MT | |
| Review & approval workflow | Draft→Approved with Role Profile governance | You define states, roles, permissions | Frequently limited or absent | |
| Fit to your channels & attributes | Built to your exact channels, mapping, and locales | Fully bespoke, at full build cost | Fixed feature set, adapt to its assumptions | |
| Support & ownership | Support window + full Git repo handover | You own it and all its maintenance | Vendor-dependent; limited source access | |
| Delivery model | Build-to-order, ~2–4 weeks from scope, tested on staging | Longer, unbounded internal timeline | Instant install but generic fit |
ERPNext AI Listing & Catalog Optimizer hakkında Sıkça Sorulan Sorular
+Is this an instant download from the Frappe Cloud Marketplace?
No. It is a build-to-order Frappe app that ECOSIRE scopes, builds, installs on your ERPNext site, and supports. There is no instant-download version — the app is shaped to your specific marketplaces, attribute model, LLM provider, and target languages.
+How long does delivery take?
Typical delivery is 2–4 weeks from confirmed scope. The timeline starts once we agree the target channels, the DocType and Item field mapping, tone and compliance rules, and locales on the scoping call. Larger channel counts or complex attribute mappings sit at the upper end of that range.
+How are updates and support handled after go-live?
Every engagement includes a post-go-live support window for defect fixes and configuration adjustments. You also receive the full Git repository, so your own team can extend the app. Longer-term maintenance, new-channel additions, and version upgrades to future ERPNext releases can be arranged as a follow-on.
+Which ERPNext versions are supported?
The app is built for Frappe/ERPNext v15 and v16 and packaged as a standard installable Frappe app. We confirm your exact bench and site version during scoping and test on a matching staging bench before installing on production.
+Does it overwrite or clutter my existing Item master?
No. Generated content lives in a separate per-Item-per-channel `AI Listing` DocType, so your `Item` master stays canonical. A `hooks.py` `on_update` event simply flags dependent listings as stale when an Item changes, prompting a regenerate — the source record is never rewritten by the AI.
+Which AI provider does it use, and where do the API keys live?
We integrate the LLM provider you choose during scoping. Keys and provider configuration are stored in a `Listing Optimizer Settings` single DocType following Frappe's encrypted-field conventions and are only ever used by server-side whitelisted methods — never exposed to the browser or client scripts.
+Can our existing channel integration consume the approved listings?
Yes. Approved listings are available through the standard Frappe REST API and dedicated whitelisted methods, so your existing marketplace integration or middleware can pull them and push to each channel on its own schedule. The app focuses on generating and governing listing content, not on replacing your channel connector.
İlgili Modüller
Teklif isteyin
ERPNext AI Listing & Catalog Optimizer
A build-to-order Frappe app that turns your ERPNext Items into optimized, per-marketplace listings — AI-generated titles, bullets, descriptions, keywords, and translations — reviewed and published from inside ERPNext. ECOSIRE scopes, builds, installs, and supports it; it is not an instant download.
- AI title/bullet/description generation per marketplace, driven by each channel's character-limit and formatting rules stored on a `Marketplace Channel` DocType
- Per-Item-per-channel `AI Listing` DocType so one `Item` master fans out into many reviewable listings without mutating the source record
- Generation via whitelisted server-side methods (`@frappe.whitelist()`) that pass Item fields, attributes, and brand as structured LLM context — no keys or prompts in the browser
- Channel-aware keyword & SEO suggestions: Amazon backend search terms within the byte budget, eBay item specifics, Etsy tags