An autonomous AL extension that monitors a mailbox, identifies the customer and requested items, checks availability, and drafts quotes and sales orders inside Business Central. Built, installed as a per-tenant extension, and supported by ECOSIRE. One-time license from $799.00 USD for Dynamics 365 BC (build-to-order) — includes 12 months of updates and support.

An autonomous AL extension that monitors a mailbox, identifies the customer and requested items, checks availability, and drafts quotes and sales orders inside Business Central. Built, installed as a per-tenant extension, and supported by ECOSIRE.
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。
The AI Sales Order Agent turns your inbound order mailbox into structured sales documents inside Microsoft Dynamics 365 Business Central — without rekeying. It is a per-tenant AL extension that ECOSIRE builds, installs and supports on your Business Central environment. This is not an instant AppSource download: we scope it to your item catalog, customer matching rules and approval policy, then deploy it as a signed per-tenant extension you own.
Job Queue-scheduled mailbox polling of a designated shared mailbox via the Microsoft Graph API
LLM-based extraction of customer, requested items, quantities and units of measure from free-text email bodies and PDF attachments
Customer identification by sender email-to-contact matching, with configurable fallback to a manual review queue
Item resolution against the Item, Item Reference and Item Cross-Reference tables, including your customer-specific part numbers
Inventory and availability checks using Business Central availability data before a quote is drafted
Automatic Sales Quote creation and standard quote PDF rendering using your existing report layout
How it works. A scheduled Job Queue entry polls a designated shared mailbox (via Microsoft Graph) for new order emails. Each message is passed to an LLM extraction step that identifies the sender's Customer record (email-to-contact match, with a configurable fallback to manual review), parses requested items against your Item and Item Reference tables, and resolves quantities and units of measure. The agent checks availability using Business Central's inventory and availability data, then creates a Sales Quote and renders the standard quote PDF via your report layout. A new AI Agent Log table (table + page extension) records every decision, the source email, confidence scores and the resulting document number for full auditability.
You stay in control. Low-confidence matches route to a review queue instead of posting blind. On approval, the quote converts to a Sales Order through standard BC document flow — so pricing, discounts, dimensions and posting rules all behave exactly as your finance team configured them. The agent can also manage structured follow-up email exchanges (clarifications, confirmations) tied back to the originating thread.
Everything runs inside your tenant under a scoped permission set. No data leaves your environment except the extraction call to the LLM endpoint you authorize. We deliver the source-controlled AL app, install it, and support it.
Owns inbound order-taking and wants emailed orders turned into BC quotes and sales orders without staff rekeying, while keeping a human approval gate on anything uncertain.
Responsible for the tenant and needs a clean per-tenant extension with a scoped permission set, Job Queue setup and an audit log — not an opaque black box bolted onto production.
Manages the order desk inbox and wants the agent to handle the repetitive parsing and follow-up clarification emails so the team focuses on exceptions and edge cases.
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 AI Sales Order Agent 模块 ZIP。
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)。
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 Sales Order Agent,然后按安装。
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。
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。
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| Reads inbound order emails and a designated mailbox automatically | ||||
| AI extraction of customers and items from free-text and PDF attachments | ||||
| Drafts quotes and converts to sales orders via native BC document flow | ||||
| Tailored to your item catalog, customer-matching and approval rules | ||||
| Human review queue with configurable confidence thresholds | ||||
| Full audit log of every decision and source email | ||||
| Installed as a per-tenant extension you own, with source code | ||||
| Built, installed and supported for you (no in-house AL team needed) |
This is a build-to-order extension, not an instant AppSource download. After a short scoping call we typically deliver in 3-5 weeks depending on the complexity of your item catalog and customer-matching rules. We build the AL app, install it first on your sandbox as a signed per-tenant extension, validate against your real emails, then deploy to production.
Every build includes an agreed warranty window for bug fixes. Because it is a per-tenant extension you own (with the AL source in your repository), we also offer ongoing support for Business Central version upgrades, new item/customer rules and extraction-prompt tuning. We track BC release-wave compatibility so the extension keeps installing cleanly through major updates.
No data leaves your tenant except the text extraction call to the LLM endpoint you authorize. Mailbox access uses your own Microsoft Graph app registration, and all document creation happens inside Business Central under a scoped permission set. Every decision is recorded in the AI Agent Log table for audit.
Only if you configure it that way. By default, low-confidence customer or item matches are held in a review queue, and the human-approved quote-to-order conversion uses standard BC document flow so your pricing, discount, dimension and posting rules all apply. You set the confidence thresholds.
Yes. The extraction step handles both free-text email bodies and PDF/spreadsheet attachments, and resolves items against your Item Reference and customer-specific cross-reference numbers. Unmatched lines are flagged for review rather than guessed.
It is built primarily for Business Central online (SaaS) as a per-tenant extension using Job Queue, the Graph API and the BC platform APIs. On-premises deployments are possible — we confirm feasibility and any platform constraints during scoping.
An autonomous AL extension that monitors a mailbox, identifies the customer and requested items, checks availability, and drafts quotes and sales orders inside Business Central. Built, installed as a per-tenant extension, and supported by ECOSIRE.