Implementing Odoo in SMEs: the approach that works

You have made the decision: Excel sheets and separate systems are being replaced by Odoo. The expectation is more efficient working, less duplicated effort and better management information. But then the implementation turns out to be more complex than anticipated. Weeks stretch into months, processes that 'should just work' turn out not to work out of the box, and in the meantime the old administration keeps running. The risk is real: a failed implementation costs not only money, but also staff time and confidence in the new system.

The core of the problem lies in the approach. Too many organisations start configuring modules before it is clear exactly which processes should work and how. Or they assume that standard functionality will automatically match the way they work. That is rarely the case. A working implementation does not start with technology, but with getting clear on what you do, how you want to keep doing it and where Odoo needs adjusting. Only then do you start building.

Start with process mapping, not with modules

Most implementations start the wrong way: with a list of desired modules. Sales, CRM, inventory, invoicing – everything gets ticked because it comes with the package anyway. That leads to a system full of functionality nobody uses, because it is unclear how it fits into day-to-day operations. A better start is thorough process mapping.

Map out how you work now: who does what, in what order, with what information. Not how it should be according to the manual, but how it really happens. Processes often turn out to run differently from the way they were formally documented. Someone in sales fills in a quote in Excel, sends it to the customer, and only after approval is it manually re-entered in the old system. Or purchase invoices arrive by email, are printed, signed off and only then entered. You need to know that reality.

Next, you decide what should stay and what can be improved. Not everything needs to be carried over one-to-one. Sometimes an existing process came about because the old system did not support certain integrations. Sometimes it simply grew that way over time. But also beware of the trap of wanting to redesign everything at once. An implementation is not a reorganisation project. Limit changes to what is genuinely necessary to be able to work with Odoo, or to improvements that clearly save time or reduce errors.

Choose deliberately between Community and Enterprise

Odoo comes in two variants: Community (free, open source) and Enterprise (paid, with additional modules and support). For SMEs this is not an academic question – the choice determines your costs, flexibility and maintenance burden for years to come.

Community offers all the core functionality: sales, purchasing, inventory, manufacturing, accounting. The source code is fully open; you are free to modify it yourself and host it wherever you like. Downside: no official support, more limited reporting, and some modules (such as field service or planning) are missing. For organisations with standard processes and technical knowledge in-house, Community is a solid choice. We implement it regularly, particularly when the client wants specific modifications and would rather not depend on annual licence fees.

Enterprise adds functionality that many SMEs appreciate: more extensive dashboards, mobile apps, modules for project planning and helpdesk. You pay per user per year – for ten users that comes to around €2,400 to €3,600 a year, depending on which modules you activate. The investment pays off if you use the additional modules intensively and value direct support from Odoo itself. But do not choose Enterprise because it sounds 'better'. Analyse which modules you really need and whether they are worth the difference.

A third option: start with Community and migrate to Enterprise later. That is possible, but it costs extra work because certain modifications have to be rebuilt. So plan at least three years ahead and make a deliberate choice, not a provisional one.

Where it goes wrong in practice

Pitfall 1: Too many changes at once

Organisations see an ERP implementation as a chance to 'get everything right'. So wishlist items from recent years are brought in: reports that were always meant to be built, automations that 'would be handy', extra fields for data that might one day be useful. The result: the scope grows, the project overruns, and at go-live half of it does not work as expected because nobody can see the wood for the trees any more.

The cause is understandable: if you are setting up a new system anyway, you want to get it right straight away. But 'right' means working first, and only then optimal. Limit the first phase to what is needed to go live: entering customers, creating quotes, sending invoices, tracking stock. Put everything that 'can also be done later' on a backlog and tackle it once the system is running and people are familiar with it. That also prevents you from building functionality that turns out to need to work differently once it is in use.

Pitfall 2: Not enough time for testing and training

A familiar schedule: 'We're going live this quarter, so we need to finish configuring in six weeks.' Everyone works flat out to set everything up, and in the final week staff start looking at it. Result: at launch basic things turn out not to work, questions come too late, and staff fall back on the old way of working because they do not know how the new one works.

Do not test once at the end, but in cycles during the build. Have users spend an hour trying out what is in place every two weeks. That produces early feedback and prevents surprises. And plan formal training – at least half a day per employee, preferably hands-on with their own tasks. 'They'll figure it out' does not work; people need guidance to change the way they work.

Pitfall 3: No clear owner on the client side

In many implementations there is nobody internally who is truly responsible. The managing director is too busy, the administrative employee has no mandate to take decisions, and the implementation partner is constantly waiting for answers. Result: indecision, delays, and a system configured on the basis of assumptions instead of facts.

Appoint someone internally who has time (at least four hours a week), knows the processes and can take decisions. That person is the point of contact for the consultant, is the first to test new configurations and drives the internal implementation. Without that role every meeting becomes inefficient and progress stalls at 'we still need to discuss that internally'.

Migrate data in phases, not in one big bang

Data migration is where many projects get stuck. Customer data, products, open orders, stock levels – it all has to move to Odoo. The reflex is to do everything at once on the go-live date: export from the old system in the evening, import into Odoo overnight, carry on the next morning. It sounds efficient, but it is risky. If the import fails or the data is wrong, the next day you are left with processes that do not work.

A phased migration is better. Start with master data: customers, suppliers, products. You can transfer and check these weeks before go-live. Then transactional data: open invoices, ongoing projects. And historical data – old closed orders, archived quotes – can often stay in the old system as 'read-only'. That saves import time and reduces the risk of errors. You still have the historical overview if you need it, but it does not have to go live in the new system.

Test the import thoroughly with a subset of the data. Check not only whether records are created, but whether the relationships are correct: is the right supplier on a purchase invoice, does an order have the right status, are stock moves linked correctly? Errors in relationships often remain invisible until someone cannot find something weeks later.

Plan hypercare for the first month

Go-live is not the finish line, but the start of the real test. In the first weeks, things always turn out to work differently than expected: a report that does not quite show the right columns, an automation that fails to trigger in a specific scenario, or a user who does not understand a workflow. That is normal – no system works flawlessly from day one.

So plan a hypercare period of at least four weeks. During that phase the implementation partner is actively available for quick fixes and questions. As standard, we schedule two to three half-days a week directly after go-live, so that urgent issues are resolved within 24 hours. Let users know they can report problems without being judged – the goal is to learn and improve, not to prove that everything is perfect.

Keep a log of all issues and solutions during that period. It helps not only to identify recurring problems, but also to onboard new employees later on. And communicate openly: if something does not work as promised, say so and explain what the solution is and when it will come. That preserves trust better than playing problems down.

What you should do first

Do not start by choosing modules or requesting quotes. Start by getting two things clear internally. One: which processes are critical to your business and must work from day one. Two: who internally will own the project and can take decisions. Without those two, every next step is guesswork.

Then draw up a shortlist of no more than three implementation partners. Look not only at price, but at how they ask questions. A good consultant asks about your processes in the first conversation, not about which modules you want. And make clear whether you are considering Community or Enterprise – that saves unnecessary back and forth.

Reserve time internally. An implementation requires not just budget, but also hours from your team. Count on at least six to ten hours a week from the project owner, and three to four hours per involved employee for testing and training. If you do not have that time, postpone the project. An implementation that is done on the side fails.

Photo: Brett Jordan on Unsplash