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- AI Dashboard Builder (Natural-Language BI)
Illustrative previewType a plain-English prompt, get a live Odoo dashboard with recommended KPIs,
20+ chart types and chat-with-your-data. No SQL.
What is 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. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $999.00 USD; request a quote for a scoped proposal.
Key Features
Built to order, done for you
No DIY setup — a working app, built, installed and supported by ECOSIRE.
- 1
You order
Start with a one-time build price. We scope it with you at kickoff.
- 2
We build & install
ECOSIRE builds, configures and installs it on your Odoo.
- 3
Go live + support
You go live in about one working week, with two weeks of go-live support. Defects in the code we deliver are fixed free of charge.
Technical Specifications
- Odoo Compatibility
- Odoo 17, Odoo 18, Odoo 19
- Editions
- Enterprise & Community
- License
- Licence confirmation required
- Python Requirement
- Python 3.10+
- Database
- PostgreSQL 12+
About this Product
AI Dashboard Builder brings self-serve, natural-language business intelligence directly inside Odoo 17, 18 and 19 — no data team, no SQL, no separate BI tool to license. Type a prompt like "show me monthly revenue by salesperson with margin and a top-10 customers chart" and the module reads your live Odoo models, recommends the right KPIs, picks sensible chart types, and renders a complete, interactive dashboard you can edit, filter and drill into.
This is a build-to-order engagement, not an instant apps.odoo.com download. ECOSIRE designs, develops, installs and supports the module against YOUR database and YOUR chosen models. We map the natural-language layer to your real objects (sale.order, account.move, crm.lead, stock.move, project.task, hr.* or custom models), wire secure access through Odoo's own permission system, and hand you a documented, upgrade-safe addon rather than a black box.
Under the hood it is a proper Odoo addon: a clean __manifest__.py declaring dependencies (web, board and any app modules you report on), models built on models.Model with stored and computed fields (@api.depends) for the metric definitions, QWeb/OWL views for the dashboard canvas, and — critically — security enforced through ir.model.access.csv plus record rules so every generated query respects the requesting user's row-level access. The AI layer only translates intent into read queries over data the user is already allowed to see; it never bypasses Odoo's ORM or your record rules, and it never runs raw SQL against tables the user cannot access.
The natural-language engine is multi-LLM: point it at OpenAI, Google Gemini, Anthropic Claude, or a self-hosted/local model — your API key, your provider, your data-residency choice. Only the schema and the question travel to the model to plan the query; your row data stays in Odoo. Prompt-to-dashboard generation recommends KPIs and charts, "chat with your data" answers ad-hoc questions in plain language, and everything the AI produces is fully editable afterward: swap chart types, add filters, reorder tiles, set drill-down paths, and pin the result to a shared board.
You get 20+ visualizations (bar, line, area, pie, donut, stacked, KPI scorecard, gauge, funnel, radar, heatmap, treemap, scatter, geo map and more), cross-filtering, click-through drill-down to the underlying Odoo records, scheduled refresh via automated actions (ir.cron / server actions), and QWeb PDF export for board-ready reports. Dashboards can be shared per team using standard Odoo groups, and every metric is auditable because it resolves to real ORM queries you can inspect.
Because it is built to order, ECOSIRE tailors the seed KPI library to your industry, connects the LLM provider you prefer, sets guardrails on token usage and query cost, and trains your team so managers and analysts can self-serve from day one. The result is a governed, multi-tenant-safe BI layer that lives where your data already is — inside Odoo — instead of copying it into yet another platform.
What you get
- Complete, documented Odoo addon (module source) with __manifest__.py, models, OWL/QWeb views, ir.model.access.csv and record rules — installed on your database
- Natural-language layer configured and mapped to your real Odoo models (sale.order, account.move, crm.lead and any custom objects you nominate)
- LLM provider integration set up with your chosen vendor (OpenAI / Gemini / Claude / local) plus token and cost guardrails
- A seeded KPI and dashboard library tailored to your industry and priority reports
- Security configuration review: access rules and record rules verified so AI queries respect each user's row-level permissions
- Admin and end-user documentation covering prompting, editing dashboards, sharing, and provider/key management
- A live training session for managers and analysts so the team can self-serve from day one
- Deployment on Odoo 17, 18 or 19 (Community or Enterprise), plus a post-go-live support and updates window as agreed in your scope
Who this is for
Operations / department manager
Wants answers now — revenue by region, pipeline health, stock aging — without waiting on IT or a data analyst. Types a plain-English prompt, gets a governed dashboard, and drills into the actual Odoo records behind every number.
Business / data analyst without a data team
Needs to ship reports fast but has no dedicated BI stack. Uses chat-with-your-data to prototype metrics, then fine-tunes the AI-generated charts, adds filters and computed KPIs, and publishes shared dashboards for stakeholders.
Finance / executive leadership
Wants board-ready, always-current KPIs — margin, cash, growth — refreshed on a schedule and exportable to PDF, while trusting that every figure resolves to real ORM data and respects who is allowed to see what.
How AI Dashboard Builder (Natural-Language BI) Compares
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Natural-language prompt to full dashboard | Built in — describe it in English, AI recommends KPIs and charts against your live models | Possible but you fund and maintain the entire NL-to-query engine yourself | Rare; most off-the-shelf modules are drag-and-drop only, no NL layer | Not included |
| Chat-with-your-data ad-hoc questions | Included, answered from live ORM data with no SQL | Only if your team designs and debugs it from scratch | Partial support | Not included |
| Multi-LLM choice (OpenAI / Gemini / Claude / local) | Configurable; your key, your provider, your data residency | Whatever you build and wire yourself | Partial support | Not included |
| 20+ chart types with drill-down and cross-filtering | Included and fully editable after generation | You build each chart type and interaction yourself | Partial support | Partial support |
| Row-level security honored (ir.model.access.csv + record rules) | Enforced by design — AI queries run through the ORM, never bypass access | Only as robust as your own implementation and testing | Partial support | Included |
| Tailored to your models, industry KPIs and training | Yes — scoped, mapped and delivered with docs and a live training session | Partial support | Not included | Not included |
| Delivery model | Build-to-order: ECOSIRE builds, installs and supports (one working week); you own the source | Long in-house build with ongoing maintenance burden | Instant download but generic, unsupported for your data | Partial support |
| Odoo 17 / 18 / 19, Community and Enterprise | Supported across all three versions and both editions | Partial support | Partial support | Included |
Frequently Asked Questions about AI Dashboard Builder
How long does delivery take, and is this an instant download?
This is a build-to-order engagement, not an instant apps.odoo.com download. After purchase, ECOSIRE scopes your models and KPIs, then builds, installs and configures the module against your database. Typical lead time is one working week depending on how many apps and custom models you want mapped and which LLM provider you use. You receive a documented addon and a working, trained-up dashboard environment — never a black-box binary you have to reverse-engineer.
What support and updates are included after go-live?
Every engagement includes a post-go-live support and updates window agreed in your scope, covering bug fixes, prompt/KPI tuning and compatibility with your Odoo point releases. Because you receive the full module source, you are never locked in. We also offer extended maintenance and Odoo version-upgrade support (for example moving from 17 to 18 or 19) as an ongoing option.
Is my data sent to the AI provider, and is it secure?
Only your schema (model and field names) and your question are sent to the LLM so it can plan the query — your row-level record data stays inside Odoo. Every generated query runs through the Odoo ORM and honors ir.model.access.csv and record rules, so users only ever see data they already have permission to access. You pick the provider (OpenAI, Gemini, Claude or a self-hosted/local model) and supply your own API key, so data residency stays your decision.
Does it work with Odoo Community, and which versions are supported?
Yes. The module supports Odoo 17, 18 and 19 on both Community and Enterprise editions. It relies on core framework capabilities (ORM, security, QWeb/OWL, automated actions), so it does not require Enterprise-only apps — though it happily reports on Enterprise apps if you run them.
Do I need to know SQL or hire a BI developer to use it?
No. The whole point is self-serve BI in plain English: managers and analysts type prompts and the AI recommends KPIs and charts. There is no SQL to write and no separate report builder to learn. Advanced users can still edit chart types, filters, drill-downs and computed metrics, but no coding is required for day-to-day dashboards.
Can dashboards refresh automatically and be shared with specific teams?
Yes. Dashboards refresh on a schedule using Odoo automated actions (ir.cron / server actions), and you can pin them to shared boards scoped by standard Odoo groups so each department sees its own governed views. Any dashboard can also be exported to a QWeb PDF for board packs or email distribution.
Can we control AI usage costs?
Yes. We configure token and cost guardrails — for example per-user or per-day query limits — during the build, so natural-language BI stays predictable. Because you use your own provider key, you see and control spend directly with your LLM vendor.
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AI Dashboard Builder
Type a plain-English prompt, get a live Odoo dashboard with recommended KPIs, 20+ chart types and chat-with-your-data. No SQL.
- Prompt-to-dashboard generation: describe what you want in plain English and the AI recommends the KPIs, groupings and chart types, then renders a complete interactive dashboard
- Chat-with-your-data: ask ad-hoc questions ('which products lost margin last quarter?') and get answered from live Odoo records — no SQL, no report builder
- Multi-LLM support: connect OpenAI, Google Gemini, Anthropic Claude, or a self-hosted/local model with your own API key and data-residency choice
- 20+ chart types including bar, line, area, pie, donut, stacked, KPI scorecard, gauge, funnel, radar, heatmap, treemap, scatter and geo map