← AI x Odoo · ROI
AI x Odoo ROI calculation — the 2026 Doodex grid (3 quantified scenarios)
Industrial SMB, multi-site distributor, multi-store retailer — 3 business cases with year-1 cost, line-by-line gain, net ROI and payback.
"How much does it really earn?" — that is the question that kills 80% of AI projects in the meeting. And it is also the only one that matters. This page gives you the ROI calculation grid Doodex has used since 2019 in every diagnostic meeting, plus three quantified scenarios on real company profiles (80-person industrial SMB, 35-person multi-site distributor, 12-store multi-shop retailer). For each scenario: year-1 cost module by module, year-1 gain line by line, net ROI and payback period. No marketing average, no "up to 50% gains" — bounded numbers based on the reality of our recent projects. At the end, a 6-field calculator gives you your personalized ROI range in 90 seconds, with the detailed assumptions sent as a PDF. The goal is not to sell you all of our modules — it is to let you walk into a leadership meeting with a solid business case, assumptions you can challenge, and the conviction that the first use case to industrialize is the one you chose, not the one we sold you.
Doodex's AI x Odoo ROI formula (and what it does not measure)
Variables: hours saved x loaded hourly rate x working days x model confidence
The conservative formula we use in diagnostic meetings:
The 0.7 confidence coefficient deliberately caps the displayed gain. It is the safety margin we keep to absorb imperfect change management, progressive adoption and the cases where the model does not deliver its full contract in year one.
What we NEVER include in the formula (to stay honest)
- "Qualitative gains" (customer satisfaction, brand image) — real but not quantifiable, so out of the business case.
- Savings projected beyond year 1 (we compute a strict payback, on the year that starts).
- Hours saved by leadership teams (only the operators who do the work every day count).
- Hypothetical growth gains ("we will take an extra 10% of customers") — unless they are quantified capacity by capacity.
Scenario A
80-person industrial SMB (mechanical subcontracting)
Selected use cases: predictive maintenance + generative CPQ + invoice OCR
Typical profile: 80-person plant, 22-line machine park, 1,200 quotes/year, 800 supplier invoices/month. Stack Odoo Manufacturing + Sales + Accounting. Pains: 3 unanticipated breakdowns/month (-EUR 12k/breakdown), sales reps spending 35 min/quote, accountant blocked on 3-way matching.
Year-1 cost: EUR 78,000 · Year-1 gain: EUR 215,000 · ROI 175% · payback 4.3 months
| Doodex module | Year-1 cost | Year-1 gain | Module ROI |
|---|---|---|---|
| Predictive Pack (maintenance) | EUR 28,000 | EUR 98,000 | +250% |
| Flow Engine + generative CPQ | EUR 32,000 | EUR 82,000 | +156% |
| Doc & Vision Pack (invoice OCR) | EUR 18,000 | EUR 35,000 | +94% |
| Scenario A total | EUR 78,000 | EUR 215,000 | +175% · payback 4.3 months |
See the "unanticipated maintenance" pain in detail · Read the use cases applied
Scenario B
35-person multi-site distributor, 6 warehouses
Selected use cases: stock suggestion + credit scoring + lead scoring
Typical profile: 35 people, 6 warehouses, 4,200 active SKUs, 280 recurring B2B customers. Stack Odoo Inventory + Sales + Accounting + CRM. Pains: 23% dormant stock, 9% overdue at 60 days, sales reps drowning in leads.
Year-1 cost: EUR 54,000 · Year-1 gain: EUR 168,000 · ROI 211% · payback 3.8 months
| Doodex module | Year-1 cost | Year-1 gain | Module ROI |
|---|---|---|---|
| Predictive Pack (stock + credit) | EUR 22,000 | EUR 86,000 | +291% |
| Doodex Lead Intelligence | EUR 24,000 | EUR 62,000 | +158% |
| Flow Engine (orchestration) | EUR 8,000 | EUR 20,000 | +150% |
| Scenario B total | EUR 54,000 | EUR 168,000 | +211% · payback 3.8 months |
Scenario C
Multi-store retailer 12 shops + e-commerce
Use cases: helpdesk co-pilot + Knowledge AI + lead scoring + Doc & Vision
Typical profile: 12 shops + e-commerce, 45 people (sales + helpdesk + back-office), 1,800 support tickets/month, 400 orders/day. Stack Odoo POS + eCommerce + Helpdesk + Knowledge. Pains: tickets piling up, helpdesk team overwhelmed, Knowledge base underused.
Year-1 cost: EUR 62,000 · Year-1 gain: EUR 144,000 · ROI 132% · payback 5.1 months
| Doodex module | Year-1 cost | Year-1 gain | Module ROI |
|---|---|---|---|
| Knowledge AI (helpdesk co-pilot) | EUR 26,000 | EUR 68,000 | +162% |
| Doodex Lead Intelligence | EUR 18,000 | EUR 42,000 | +133% |
| Doc & Vision Pack | EUR 18,000 | EUR 34,000 | +89% |
| Scenario C total | EUR 62,000 | EUR 144,000 | +132% · payback 5.1 months |
Personalized ROI calculator (6-field form)
90 seconds to get your ROI range on the 3 priority use cases, with the assumptions sent as a PDF by email.
Fields: headcount, sector, target modules, planned budget, Odoo maturity, main pain
The calculator cross-references your 6 answers against the Doodex reference base (200+ projects since 2019) and returns a gain range capped by the 0.7 confidence coefficient. No promise — just a realistic upper and lower bound.
Output: ROI range estimate + PDF with assumptions sent by email
You receive by email a 2-page PDF with: your year-1 ROI range, the assumption-by-assumption detail, the 3 priority use cases for your profile and the typical time-to-production. No automatic meeting booking — you decide whether to go further.
The 4 mistakes that wreck AI ROI in year 1
Mistake #1 — Underestimating change management (-30% of expected gain)
A model that works on paper but isn't used in production = zero gain. Plan 15-20% of the project budget for user enablement. See our enablement services.
Mistake #2 — Starting with the "sexiest" case rather than the most painful one
The "showcase" case impresses the leadership team, but ROI always comes from the case where the pain is measurable and chronic. Starting with the most painful one fuels the next cases.
Mistake #3 — Skipping the baseline phase (no way to prove the gain afterwards)
Without before/after measurement, the project ends up at "nobody really knows if it works". 2-4 weeks of baseline = 2-4 weeks that secure the next 11 months.
Mistake #4 — Not instrumenting from day one (no observability = no optimization)
Logs, metrics, alerts: that is included in every Doodex deployment because without it you cannot iterate on the model. And a model you do not iterate on loses 5-10 points a year.
ROI FAQ
Is the 0.7 confidence coefficient negotiable?
Yes — it goes up to 0.85 if you have already shipped a structuring AI project with a clean baseline. It drops to 0.55 if Odoo data maturity is low. We calibrate it during the diagnostic.
Why are your ROI numbers lower than those of competitors?
Because we only quantify what is measurable and what we can deliver. The real question: how many consultancies publish their assumptions in the open like we do?
Is payback guaranteed?
No — no serious company guarantees an AI payback. But we commit to our methodology, our baseline, and we refund the diagnostic if after 6 months no use case has been qualified.
How much does a typical project cost?
All our modules are quoted. The A/B/C scenarios above give ranges by company size. See the module details.
What if I want to test on a single case first?
6-week pilot format, closed scope, ROI scorecard deliverable. If it lands, we industrialize. If it does not, we stop. Book a diagnostic.
Ready to quantify your AI ROI?
45-minute diagnostic on video, deliverable: AI maturity scorecard + 3 priority cases + personalized ROI range. No commitment.