Case Studies
Real projects, real numbers — how Odoo implementations played out for businesses like yours.
Manufacturing: Fashion BoM Approval Workflow
A fashion manufacturer faced repeated sample rejection cycles because its bill-of-materials had no clear review stages before production.
We designed a multi-stage statusbar approval workflow on mrp.bom in Odoo 18, so every bill of materials passes through defined approval stages before it is cleared for production.
A significant drop in sample rejection cycles, with clear accountability at every approval stage.
Retail: Multi-Company Email Routing
A multi-brand retail group kept losing customer emails because every company brand relied on the same default outgoing mail server.
We enforced email_from and mail_server_id at the model level, so every brand sends from its own correct domain on the same Odoo.sh instance.
Reliable customer communication restored across every brand, with zero server conflicts.
Field Service: Equipment Maintenance
A field service company needed accurate visibility into the maintenance status of equipment spread across sites, with strict control over who could see each group.
We built KM-based maintenance tracking tied to Odoo security groups, so each team only sees the equipment assigned to it.
Full, secure visibility into every piece of equipment, with a clean separation of access between teams.
How We Measure Impact
Every case study on this page follows the same four steps — so the results you read are grounded in what actually shipped, not a sales pitch.
Baseline
We document the process and its pain points before touching any configuration, so improvement can be measured against a real starting point.
Build & Configure
We implement the fix or workflow directly inside the client's Odoo instance — not a demo environment — so what we describe is what is actually running.
Observe in Production
We stay close during the first weeks of real use, watching how the team actually works with the new setup, not just how it performs in testing.
Document the Result
Only after the result holds up over time do we write it up here — described plainly, without inflated numbers.