Most sales leaders running Odoo hit the same wall. The native Sales module gives you list, kanban, pivot, and graph views, but assembling one live picture of pipeline velocity, margin, rep performance, and forecast attainment means jumping between menus, exporting pivots to spreadsheets, and reconciling numbers by hand. Odoo's built-in dashboards are largely static saved views that refresh only on reload, and they cannot narrate what changed or why. A typical off-the-shelf apps.odoo.com module fixes one slice of this but rarely fits your team structure, your multi-company and multi-currency setup, or the specific KPIs your board actually reviews. That gap between the raw data Odoo already holds and a decision-ready sales cockpit is exactly what we build.

The Advanced Sales Dashboard is a made-to-order Odoo module that ECOSIRE designs, builds, and installs on your database. Technically it ships as a proper addon with its own __manifest__.py, an OWL-based client-side dashboard action, and computed KPI models (models.Model with stored and non-stored fields, @api.depends compute methods, and _read_group aggregations) that roll up sale.order, sale.order.line, crm.lead, and account.move without hammering your database. Tiles are dynamic: each renders a live metric (bookings, won revenue, average deal size, win rate, sales-cycle days, forecast gap) with period-over-period deltas, sparklines, and one-click drill-down into the underlying records via standard Odoo actions and domains.

The AI-generated insight layer is the differentiator. On a scheduled ir.cron pass (or on demand from a tile), the module compiles a structured summary of the current period's aggregates, sends it to your configured LLM endpoint over a server-side, key-protected call, and renders the returned narrative ("net-new bookings up 18% week-over-week, driven by the EMEA team; three deals over 30 days in stage Proposal are dragging the average cycle") back into the dashboard and, optionally, into a scheduled QWeb PDF digest emailed to management. No customer data leaves your server except the aggregate figures you approve, and the entire feature can be toggled off per company. Every metric respects Odoo's security model: access is governed by ir.model.access.csv plus record rules so a regional manager sees only their teams, and multi-company rules keep company data isolated.

Because this is build-to-order, delivery follows a clear path. We start with a scoping call to lock the exact KPIs, tile layout, security matrix, and Odoo edition/version, then build against a staging copy of your database, run UAT with your team, and deploy to production with a rollback plan. Typical delivery is one working week from confirmed scope. It is engineered for Odoo 17.0, 18.0, and 19.0, on Community or Enterprise (we note where an Enterprise-only view or spreadsheet feature is replaced with an equivalent for Community). Pricing starts from $999 (indicative, single-company base scope); additional companies, custom KPI models, deeper localization, third-party data integrations, and larger data-migration volumes increase the quoted scope. You get a fixed quote after the scoping call, never a surprise invoice.