Aperçu illustratifAn LLM copilot inside Odoo CRM that scores leads, drafts follow-ups and recommends the next best action.
Built-to-order by ECOSIRE.
Qu'est-ce que AI Sales Assistant & Next-Best-Action (CRM Copilot) ?
An LLM copilot inside Odoo CRM that scores leads, drafts follow-ups and recommends the next best action. Built-to-order 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.
Fonctionnalités clés
Fait sur commande, clé en main
Aucune configuration à faire vous-même — une app fonctionnelle conçue, installée et prise en charge par ECOSIRE.
- 1
Vous commandez
Commencez par un prix de développement unique. Nous cadrons le projet avec vous au lancement.
- 2
Nous développons et installons
ECOSIRE la développe, la configure et l'installe sur votre Odoo.
- 3
Mise en ligne + assistance
Vous êtes en ligne en une semaine ouvrée environ, avec deux semaines d’assistance après la mise en production. Les défauts du code que nous livrons sont corrigés gratuitement.
Spécifications techniques
- Compatibilité Odoo
- Odoo 17, Odoo 18, Odoo 19
- Éditions
- Enterprise et Community
- Licence
- Licence à confirmer
- Version Python requise
- Python 3.10+
- Base de données
- PostgreSQL 12+
À propos de ce produit
The AI Sales Assistant & Next-Best-Action module turns Odoo CRM into an AI-assisted selling engine. Instead of reps guessing which of 400 open opportunities to touch next, the copilot ranks the pipeline with an ML lead-scoring model trained on your own won/lost history, surfaces a concrete next-best-action on every crm.lead record, and drafts persona-aware follow-up emails your reps can send in one click. It reads the mail.thread chatter to summarize long conversations, flags at-risk deals before they slip, and injects forecast hints into your existing pipeline views.
This is a build-to-order module, not an instant apps.odoo.com download. ECOSIRE designs, builds, installs and supports it for your specific Odoo database. We extend crm.lead with new fields and @api.depends compute methods for the score and next-action, wire an LLM provider of your choice (OpenAI, Anthropic, Azure OpenAI or a self-hosted model) behind an ir.config_parameter-driven service layer, and expose everything through native Odoo views, an OWL side-panel widget, automated actions (ir.cron / base.automation) and QWeb-rendered summaries. Access is governed by ir.model.access.csv and record rules so a rep only ever sees and acts on their own pipeline, and every AI call is logged for auditability.
The module ships clean on Odoo 17, 18 and 19, works on both Community and Enterprise (Enterprise unlocks the richer forecasting and dashboard surfaces), and is delivered with source code, a deployment on your server, documentation, admin + sales-rep training, and a warranty support window. Because we build it against your data model, your sales stages and your tone-of-voice, the recommendations are grounded in how your team actually sells — not a generic template you have to bend your process around.
Ce que vous obtenez
- Complete, commented Odoo module source (custom addon with __manifest__.py declaring dependencies on crm and mail) delivered to your repository, licensed for your use
- Installation and configuration on your Odoo 17/18/19 environment (staging first, then production), including the LLM provider wiring and API-key setup
- Initial ML lead-scoring model trained and validated against a snapshot of your own won/lost history, with the training approach documented
- Security configuration: ir.model.access.csv entries and record rules mapped to your existing sales roles, reviewed with your admin
- Admin documentation (settings, provider config, cron schedules, cost/audit log) plus a sales-rep quick-start guide for the copilot side panel and one-click drafting
- Live training sessions: one for administrators and one for the sales team, recorded for future onboarding
- A defined post-go-live support & warranty window covering bug fixes and adjustments, with an SLA agreed in your order
- Prompt and persona templates tuned to your brand voice, handed over so you can edit tone and messaging yourself
Pour qui c'est
VP of Sales / Sales Director
Wants a defensible way to focus the team on the deals most likely to close and to spot slipping opportunities before the forecast misses. Uses the risk flags, forecast hints and the QWeb deal-briefing report to run tighter pipeline reviews.
Sales Development & Account Reps
Spends too long deciding who to contact and rewriting the same follow-up emails. Relies on the next-best-action panel to prioritize the day and on one-click AI-drafted, persona-aware emails to move deals faster without leaving the Odoo lead form.
Revenue Operations / Odoo Administrator
Owns the CRM configuration, data quality and tooling budget. Values that the scoring model is trained on the company's own data, that LLM keys stay server-side, that every AI call is audit-logged for cost control, and that access is scoped by record rules.
Sales Enablement / Team Lead
Coaches reps and standardizes messaging. Uses the persona/tone templates and conversation summaries to keep outreach on-brand and to quickly get up to speed on any rep's deals during 1:1s.
Comment AI Sales Assistant & Next-Best-Action (CRM Copilot) se compare
| Critère | ÉCOSIRE | Construction personnalisée | Concurrent | Natif Odoo |
|---|---|---|---|---|
| Time to a working solution | one working week, built, installed and validated on your database by ECOSIRE | Months of in-house dev, plus hiring ML/LLM skills you may not have | Fast to install but generic; still needs weeks of your own configuration | Available immediately but has no LLM copilot to configure |
| AI lead scoring trained on YOUR data | Yes — model trained on your own won/lost crm.lead history | Possible, but you build and maintain the whole ML pipeline | Rarely; usually rule-based points or a one-size-fits-all model | Predictive lead scoring exists but is not an LLM copilot and is Enterprise-limited |
| AI-drafted, persona-aware follow-up emails | Yes — pre-filled into the native composer, tuned to your brand voice | Only if you build the LLM integration and prompt tuning yourself | Sometimes via a bolt-on; tone and personas seldom match your team | No — email templates are static, no AI drafting |
| Next-best-action recommendations | Yes — one concrete recommended step per opportunity in an OWL panel | Buildable but requires designing the whole recommendation logic | Uncommon; most stop at scoring, not prescriptive actions | No — reps decide manually from activities |
| Data & key control (server-side, audited, self-host option) | Keys server-side, every call audit-logged, self-hosted LLM optional | Depends entirely on how well your team implements it | Often routes data through the vendor's cloud with limited visibility | N/A — no external AI calls |
| Ownership, source code & support | You receive the source, plus a warranty window and optional retainer | You own it but also own all maintenance and future Odoo migrations | Licensed per-user; you rarely get source and depend on their roadmap | Covered by your Odoo subscription but not customizable to this use case |
| Fit to your sales stages and process | Built around your pipeline, roles and record rules | Fully custom, at full custom cost and timeline | You bend your process to the app's assumptions | Generic CRM behavior, no AI layer |
Foire aux questions sur AI Sales Assistant & Next-Best-Action
How long until the module is delivered, and is this an instant download?
This is a build-to-order module, not an instant apps.odoo.com download. After your order and a short scoping call, typical delivery is one working week depending on how much of your won/lost history we train on and how custom your personas and provider setup are. We build and validate on a staging copy of your database first, then install on production. You will never be told to 'download and install it yourself' — ECOSIRE delivers it working.
What ongoing support and updates do I get after go-live?
Every order includes a post-go-live support & warranty window (agreed in your order) covering bug fixes and reasonable adjustments to prompts, scoring and personas. We keep the module compatible across the Odoo version you run (17, 18 or 19), and can provide a paid support/retainer plan for continued tuning, new features and migrations to future Odoo releases. Because you receive the source code, you are never locked out of your own module.
Does this work on Odoo Community or only Enterprise?
It runs on both. The core copilot — lead scoring, next-best-action, AI drafting, summarization and audit logging — works on Odoo Community 17/18/19. Odoo Enterprise unlocks the richer forecasting surfaces and dashboard widgets that build on Enterprise-only features. We confirm exactly what your edition supports during scoping.
Which AI/LLM does it use, and where do my data and API keys live?
The module has a pluggable provider layer — you choose OpenAI, Anthropic, Azure OpenAI, or a self-hosted model. API keys are stored server-side via ir.config_parameter and are never exposed to the browser. Every request is written to an audit log with model and token counts so you can track cost and review exactly what was sent. If data residency matters, we can wire it to a self-hosted model so prompts never leave your infrastructure.
How accurate is the lead scoring, and what data does it need?
The score is produced by a model trained on your own historical crm.lead won/lost outcomes, so it reflects how your business actually converts rather than a generic benchmark. Accuracy improves with the volume and quality of past data; during the build we validate the model on a held-out slice of your history and share the results honestly. We do not publish made-up accuracy percentages — the real number depends on your dataset, which we measure together.
Will it interfere with our existing CRM customizations or automations?
No. The module extends crm.lead with additive fields and compute methods and integrates through standard Odoo mechanisms — inherited views, base.automation, ir.cron and the native mail composer — rather than overwriting core behavior. We install to staging first and test against your existing customizations before touching production, and access is scoped with record rules so it only affects the pipeline data each user is already allowed to see.
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AI Sales Assistant & Next-Best-Action
An LLM copilot inside Odoo CRM that scores leads, drafts follow-ups and recommends the next best action. Built-to-order by ECOSIRE.
- ML lead scoring on crm.lead: a model trained on your historical won/lost data writes a 0-100 conversion probability into a new stored field, recomputed via @api.depends when key inputs change
- Next-best-action engine that recommends the single highest-impact step per opportunity (call now, send proposal, wait 3 days, re-assign, disqualify) and renders it in an OWL side panel on the lead form
- AI-drafted follow-up emails generated per buyer persona and deal stage, pre-filled into the native Odoo composer (mail.compose.message) so reps review and send in one click
- Conversation and email summarization that reads the mail.thread chatter and produces a short, structured recap of what has happened and what the prospect wants