AI Dashboard Builder (Natural-Language BI)

Name: AI Dashboard Builder (Natural-Language BI)
Brand: ECOSIRE
SKU: ai-dashboard-builder-nl-bi

प्रमुख सुविधाएँ

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

Fully editable output: every AI-generated chart, KPI and filter can be changed, re-typed, reordered or removed after generation

Interactive drill-down and cross-filtering: click a chart segment to filter the whole dashboard and click through to the underlying Odoo records

Computed metric definitions built on models.Model with @api.depends stored fields, so recurring KPIs are fast and consistent across dashboards

Row-level security by design: queries run through the ORM and respect ir.model.access.csv plus record rules — users only see data they already have access to

Works across your apps: sales, invoicing/accounting, CRM, inventory, manufacturing, projects, HR and custom models mapped to the NL layer

Scheduled refresh and snapshots via automated actions (ir.cron / server actions) to keep executive dashboards current without manual reload

QWeb PDF export of any dashboard for board-ready reports and email distribution

Shareable, team-scoped dashboards using standard Odoo groups so each department sees its own governed views

Saved prompts and a reusable KPI library seeded for your industry during the build

Token and cost guardrails on the LLM layer (per-user/per-day limits) so BI stays predictable and safe

XML-RPC / JSON-RPC friendly: dashboard data models are accessible to external tools and portals when you need to surface KPIs elsewhere

Compatible with Odoo 17, 18 and 19 on both Community and Enterprise editions

ऑर्डर पर निर्मित, पूरी तरह आपके लिए तैयार

स्वयं सेटअप की ज़रूरत नहीं — ECOSIRE द्वारा निर्मित, इंस्टॉल और समर्थित एक कार्यशील ऐप।

आप ऑर्डर करते हैं

एक बार के निर्माण मूल्य से शुरू करें। किकऑफ़ पर हम आपके साथ मिलकर दायरा तय करते हैं।

हम बनाते और इंस्टॉल करते हैं

ECOSIRE इसे आपके Odoo पर बनाता, कॉन्फ़िगर और इंस्टॉल करता है।

लाइव + समर्थन

आप लगभग 2–4 सप्ताह में लाइव हो जाते हैं, लॉन्च के बाद समर्थन अवधि के साथ।

इस उत्पाद के बारे में

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
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
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
Multi-LLM choice (OpenAI / Gemini / Claude / local)	Configurable; your key, your provider, your data residency	Whatever you build and wire yourself	Partial support
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
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
Tailored to your models, industry KPIs and training	Yes — scoped, mapped and delivered with docs and a live training session	Partial support	Not included
Delivery model	Build-to-order: ECOSIRE builds, installs and supports (2–4 weeks); you own the source	Long in-house build with ongoing maintenance burden	Instant download but generic, unsupported for your data
Odoo 17 / 18 / 19, Community and Enterprise	Supported across all three versions and both editions	Partial support	Partial support

Frequently Asked Questions about AI Dashboard Builder (Natural-Language BI)

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 2–4 weeks 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.