Parallel spreadsheets
The team copies data outside the ERP to complete a step that should be visible and controlled.
We design modules, integrations, and automations for a concrete operational need, with the process understood before code is written.
Code does not fix an undefined process. We first identify the friction and whether configuration, integration, or development is the right answer.
The team copies data outside the ERP to complete a step that should be visible and controlled.
E-commerce, logistics, billing, or internal tools force the same information to be entered more than once.
Rules depend on messages, reminders, and manual follow-up instead of a flow with clear owners.
The data exists, but the view, calculation, or combination needed for a decision is missing from the system.
We choose the simplest intervention that solves the problem without creating unnecessary maintenance.
If Odoo already supports the process, we adjust rules, permissions, views, and data without adding code.
If another system must remain involved, we connect events and data to avoid duplicate entry.
If a rule, experience, or report cannot be handled as standard, we build a justified extension.
Each solution should be understandable to users and maintainable for the people who manage the instance.
New entities, rules, and views for processes that need their own information inside Odoo.
Connectors for e-commerce, logistics, payments, billing, BI, or other operational tools.
Actions, notifications, approvals, and status changes that should happen under explicit rules.
Operational information presented with the filters and relationships the team needs to decide.
Access for customers, distributors, or teams that need to view or initiate an operation.
Adaptation of modules and data when an upgrade or instance change is part of the project.
The starting point is an observable friction, not the idea of customizing for its own sake.
Connect sales, inventory, and logistics so the team knows the status of every order.
Record rules, owners, and exceptions to reduce follow-up scattered across email.
Bring orders from a store, marketplace, or portal into Odoo with the data needed to fulfill them.
Build views and reports that connect a leadership question with the data that answers it.
The work is divided into reviewable decisions to reduce surprises during development and deployment.
We document the problem, users, data, systems involved, and expected result.
We confirm whether to configure, integrate, or develop and define the technical scope.
We design models, rules, interfaces, and integration contracts before implementation.
We test normal and exceptional scenarios with test data and responsible users.
We prepare production release, instructions, dependencies, and a recovery path.
We observe early use and prioritize adjustments without losing maintainability.
The extension should be usable, testable, and understandable to the team receiving it.
We define the problem the solution will solve and what is out of scope before building.
We validate behavior with cases the team recognizes and can accept.
We provide the context and instructions needed to operate, review, and maintain the work.
We consider upgrades, dependencies, and integrations before choosing an implementation.
A good extension starts with an understood process and a clear way to measure whether it was worthwhile.
If the problem is that teams work separately, review the process and data foundation first.
See Odoo implementationIf you already have Odoo and do not know what to fix, a review can set priorities before development.
Request Odoo consultingWhat to resolve before turning a need into code.
When a concrete operational need cannot be handled in a maintainable way through configuration or integration. We review the process first to avoid building something the system already supports.
Yes. We review which system participates in the flow, what data must be exchanged, and which rules must apply before defining the integration.
Approvals, notifications, status changes, document creation, data synchronization, and other repetitive tasks when their rules can be defined clearly.
We evaluate dependencies, scope, and compatibility during design, test in a separate environment, and document the extension and its assumptions.
Yes. Before changing it, we review configuration, modules, data, and integrations to understand the technical context and reduce the risk of affecting other processes.
The proposal depends on the workflow, scope, systems involved, and testing required. After reviewing the case, we can separate diagnosis, build, and deployment more clearly.
Describe the process, systems involved, and result you need. We will help you decide whether to configure, integrate, or develop.