- Ana Sayfa
- Apps
- SaaS Tools
- AI Chatbot for Sales & Support (AskOdoo)
Örnek önizlemeA natural-language AI chatbot inside Odoo that answers questions about your sales orders,
POs and invoices in real time — built, installed and supported by ECOSIRE.
AI Chatbot for Sales & Support (AskOdoo) nedir?
A natural-language AI chatbot inside Odoo that answers questions about your sales orders, POs and invoices in real time — built, installed and supported by ECOSIRE. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $999.00 USD; request a quote for a scoped proposal.
Temel Özellikler
Siparişe özel, sizin için baştan sona
Kendiniz kurmanıza gerek yok — ECOSIRE tarafından geliştirilen, kurulan ve desteklenen çalışır bir uygulama.
- 1
Sipariş verirsiniz
Tek seferlik geliştirme fiyatıyla başlayın. Kapsamı başlangıçta sizinle birlikte belirleriz.
- 2
Geliştirir ve kurarız
ECOSIRE, Odoo ortamınızda geliştirir, yapılandırır ve kurar.
- 3
Yayına alma + destek
Yaklaşık bir iş haftasında yayına alırsınız; canlıya geçiş sonrası iki hafta destek dahildir. Teslim ettiğimiz koddaki hatalar ücretsiz düzeltilir.
Teknik Özellikler
- Odoo Uyumluluğu
- Odoo 17, Odoo 18, Odoo 19
- Sürümler
- Enterprise ve Community
- Lisans
- Lisansın doğrulanması gerekiyor
- Python Gereksinimi
- Python 3.10+
- Veritabanı
- PostgreSQL 12+
Bu Ürün Hakkında
AskOdoo puts a natural-language assistant right inside your Odoo backend so your sales and support teams stop clicking through filters and start asking questions. "Which of my open sale.order lines are past their commitment_date?" "What did we invoice ACME last quarter?" "Show me purchase orders still awaiting receipt from this vendor." The chatbot understands the question, resolves it against your live sale.order, purchase.order and account.move data through the ORM, and answers in seconds — with links straight back to the underlying records.
This is a build-to-order module, not an off-the-shelf apps.odoo.com download. ECOSIRE designs, builds, installs and supports AskOdoo for your specific database on Odoo 17, 18 or 19 (Community or Enterprise). Because we build it for you, the answer layer respects YOUR access model: every query the bot runs is executed as the logged-in user through Odoo's own record rules and ir.model.access.csv, so a salesperson only ever sees their own pipeline and a support agent never sees data they aren't entitled to. There is no shadow data store and no bypass of Odoo security.
Under the hood AskOdoo ships as a proper Odoo module — a versioned __manifest__.py declaring dependencies (sale, purchase, account, mail, web), OWL components for the chat widget, QWeb templates for the panel, models.Model classes for configuration and conversation logging, ir.model.access.csv plus record rules for permissions, and a controller that brokers the request to the language model. The LLM is used to translate natural language into a safe, parameterised, pre-approved query plan over your Odoo models — it never writes raw SQL and never touches the database directly. Every interaction is logged to a dedicated model so you have a full audit trail of who asked what.
We scope the data domains, access rules, tone and deployment (self-hosted LLM or a provider API key you control) with you during a short discovery, then deliver a tested module, install it in staging and production, train your team, and back it with a support window. Typical delivery is one working week depending on how many data domains and custom fields you want covered.
Ne elde edeceksin
- Complete, installable Odoo module (source in a private repo you own) with a clean __manifest__.py targeting your Odoo 17, 18 or 19 version
- Security configuration — ir.model.access.csv, record rules and configurable per-model/per-field access scopes wired to your existing user groups
- OWL/QWeb chat widget integrated into your backend plus the controller and LLM broker configured to your chosen backend
- Data-domain mapping document: exactly which models, fields and query patterns the bot can answer, agreed with you during discovery
- Staging and production installation, smoke-tested against your real data with your access model verified end-to-end
- Admin + end-user training session (recorded) plus a written how-to guide covering configuration, scopes and conversation logs
- Post-launch support window with bug fixes and minor adjustments, and a documented path for Odoo-version upgrades
- Handover of all credentials, LLM configuration and the conversation-logging audit setup so your team fully owns the deployment
Bu kimin için
Sales rep chasing pipeline
Lives in the sale.order list but wants answers, not filters. Asks 'which of my quotations haven't been confirmed in 2 weeks?' or 'what's my total invoiced this month?' and gets an instant, links-included reply without building a view.
Support agent on a customer call
Needs the customer's order and invoice history in seconds while the caller waits. Types the customer name, gets recent sale.orders and open invoices, and answers confidently — seeing only the accounts their record rules permit.
Operations / finance manager
Wants fast roll-ups without opening BI: overdue receivables, open PO value by vendor, order counts by period. Also owns the access scopes and reviews the conversation log to see how the team uses the assistant.
Odoo admin / IT owner
Cares that the assistant never bypasses security. Configures which models and fields are in scope, points the module at a self-hosted or API-key LLM, and audits every query through the logging model.
AI Chatbot for Sales & Support (AskOdoo) Nasıl Karşılaştırılır
| Kriter | ECOSIRE | Özel Yapı | Rakip | Odoo Yerleşik |
|---|---|---|---|---|
| Natural-language questions over SO / PO / invoice data | Built-in and tuned to your models | Possible but you design the NL layer from scratch | Rare; most add-ons are rule/keyword based | Dahil değil |
| Answers respect ir.model.access.csv & record rules | Yes — every query runs as the requesting user | Depends entirely on your implementation | Often bypassed via a service account | Kısmi destek |
| Configurable per-model / per-field access scopes | Delivered and wired to your user groups | You must build the config model | Usually fixed, not granular | Dahil değil |
| Embedded OWL/QWeb chat widget in the backend | Docked systray widget on every screen | You build the OWL component yourself | Sometimes a separate page, not embedded | Dahil değil |
| Full conversation audit logging | Dedicated model logs user, question & query | Only if you add it | Rarely included | Dahil değil |
| Choice of self-hosted or API-key LLM you control | Your choice, configured at delivery | Your responsibility to integrate | Usually locked to the vendor's cloud | Dahil değil |
| No raw SQL — safe parameterised query plans over the ORM | Enforced by design | Risk of injection if built carelessly | Varies; some run generated SQL | Kısmi destek |
| Install, training & post-launch support | Included — we build, install, train, support | Your team's time and cost | Email support only, no install | Dahil değil |
| Cross-version support (Odoo 17 / 18 / 19) | Targeted to your version with an upgrade path | You maintain compatibility | Often lags new Odoo releases | Kısmi destek |
AI Chatbot for Sales & Support hakkında Sıkça Sorulan Sorular
How long until the chatbot is live in my Odoo, and is this an instant download?
This is a build-to-order module, not an instant apps.odoo.com download. After purchase we run a short discovery to agree the data domains, access scopes, LLM backend and tone, then build, test and install it in your staging and production databases. Typical delivery is one working week, depending on how many models and custom fields you want covered and your Odoo version. You get a clear timeline at kickoff.
What support and updates do I get after launch?
Every build ships with a post-launch support window covering bug fixes and minor adjustments. We also document the upgrade path so the module can move with you across Odoo 17, 18 and 19. Beyond the initial window we offer ongoing support and enhancement retainers. Because the source lives in a repo you own, you're never locked in — your team can maintain or extend it too.
Can the chatbot see data a user isn't allowed to see?
No. Every query the bot runs is executed as the logged-in user through Odoo's own ORM, so it fully respects ir.model.access.csv and your record rules. A salesperson only sees their own pipeline, a support agent only their permitted accounts, and multi-company boundaries are honoured. On top of that, admins define per-model and per-field access scopes, and the LLM only ever produces safe parameterised query plans over whitelisted models — never raw SQL.
Which Odoo versions and editions are supported?
AskOdoo is built for Odoo 17, 18 or 19, on Community or Enterprise. We target your exact version in the __manifest__.py and test against your database. The widget uses OWL and QWeb and the data layer uses standard ORM calls, so it works on either edition as long as the sale, purchase and account modules you want queried are installed.
Where does the AI processing happen and is my data sent to a third party?
You choose. AskOdoo can use a language-model provider via an API key you own and control, or a self-hosted model for data-residency-sensitive deployments where nothing leaves your infrastructure. In all cases the LLM only receives the question and a schema description to plan the query — it does not get direct database access, and results are fetched by Odoo. Every interaction is logged so you have a complete audit trail.
Can it answer more than just sales, purchase and invoice questions?
Yes. The module ships with sale.order, purchase.order and account.move (invoices) coverage, but the model catalogue is configurable. During the build we can extend it to CRM leads, stock pickings, projects, helpdesk tickets or any custom model in your database. It can also do aggregations — totals invoiced, open PO value, overdue receivables, counts by customer or period — and optionally post scheduled digests to a mail channel via an automated action.
How is this different from just training staff to use Odoo filters and pivot views?
Filters and pivots are powerful but require people to know the model structure and build the view every time. AskOdoo removes that friction: a new support agent can ask 'what has ACME ordered recently?' on day one and get a linked answer. It complements — not replaces — Odoo's UI: the bot's answers link straight back to standard form and list views, so people go deeper in Odoo whenever they need to.
İlgili Modüller

AI Assistant
A native agentic AI assistant built into your Odoo backend — chat with a configurable agent that reads and acts on your own models. Made to order by ECOSIRE, installed and supported after a scoping call.

AI Automations Studio
A build-to-order Odoo automation layer that pairs a visual, drag-and-drop workflow builder with an AI chatbot and unified multi-channel messaging. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19.

AI Claude Integration for Odoo
A build-to-order Odoo module that connects Anthropic's Claude AI assistant directly into your Odoo records, chatter, and automated actions. ECOSIRE scopes, builds, installs, and supports it — it is not an off-the-shelf download.

AI Dashboard Builder (Natural-Language BI)
Type a plain-English prompt, get a live Odoo dashboard with recommended KPIs, 20+ chart types and chat-with-your-data. No SQL.
AI Chatbot for Sales & Support
A natural-language AI chatbot inside Odoo that answers questions about your sales orders, POs and invoices in real time — built, installed and supported by ECOSIRE.
- Natural-language queries over sale.order, purchase.order and account.move (invoices) data — ask in plain English, get an answer in seconds
- Context-aware, real-time answers that read your live Odoo records through the ORM — no stale copy, no separate data warehouse to sync
- Embeddable OWL/QWeb chat widget docked in the Odoo backend, available from any screen via a systray launcher
- Configurable data-access scopes per model and field, defined in a res.config settings model so admins choose exactly what the bot can read