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.

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 one working week 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.