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Illustration: Digital transformation and ERP
Modelled case study

What deploying an ERP in distribution entails

In a digital transformation context, deploying an ERP such as Odoo represents a major challenge for distribution companies. This type of project requires thorough consideration of sizing to ensure a smooth and effective integration of processes. The following case study illustrates the various stages and considerations to take into account for a successful deployment.

Method warning

A typical case, not a client

This study does not describe any real clients and does not report any results obtained from a client: our confidentiality commitments prohibit this. It sets out explicit working hypotheses and then deduces orders of magnitude through a calculation that you can replicate line by line. Change a hypothesis, and the result changes. During a diagnosis, these hypotheses are replaced by your actual figures.

The starting point

The modelled situation

Distribution companies face increasing challenges related to managing their operations, customer satisfaction, and cost optimisation. In this context, implementing an ERP system like Odoo can offer tailored solutions to centralise information, automate processes, and improve decision-making. However, the success of this deployment relies on a precise understanding of the specific needs of the company, the available resources, and the impacts on the organisation. It is essential to analyse existing processes, identify pain points, and define clear objectives to guide the project. A methodical and collaborative approach is necessary to ensure that the system meets expectations while integrating effectively into the work environment.

Initial hypothesisValueUnit
Users to equip35users
Modules to deploy6modules
References to articles to be retrieved4 500references
Business processes to be resumed and tested24process
The calculation

Result, line by line

The calculation table provides an overview of the various stages and elements to consider during the deployment of Odoo. Each row corresponds to a key aspect of the project, while the columns detail the assumptions and expected outcomes. It is important to note that this table does not replace a thorough analysis and does not take into account the specifics of each company. The results must be interpreted in the particular context of the organisation, considering the internal and external factors that may influence the success of the project.

Calculated magnitudeFormulaResultUnit
Scoping workshops (one per module, two sessions)6 × 212workshops
Test cases to write and replay24 processes × 2 phases48tests
User training sessions (groups of 8)35 ÷ 8, rounded up5sessions
Data lines to check before transition4,500 references4 500lines
The diagnosis

What we measure first

Needs analysis

A detailed assessment of current business processes allows for the identification of the company's specific expectations and requirements.

Resource assessment

It is crucial to examine the available human and technical resources to support the deployment of Odoo.

Risk identification

Recognising potential risks associated with the implementation of a new ERP helps to anticipate obstacles.

Organisational impacts

Studying the impacts on the organisation and corporate culture is essential to ensure successful adoption.

The work plan

How the mission unfolds

1

Definition of objectives

Clarify deployment objectives to guide decisions and priorities.

2

Process mapping

Establish a mapping of business processes to visualise information flows and identify possible improvements.

3

Resource planning

Develop a plan for the human and technical resources needed for deployment.

4

Training and support

Plan training and support sessions to facilitate the adoption of the new tool.

5

Monitoring and adjustments

Establish a post-deployment monitoring system to evaluate effectiveness and adjust processes if necessary.

The follow-up

The indicators we implement

These indicators are recorded from the diagnosis and then monitored throughout the mission: they are what make the result demonstrable, rather than declarative.

  • Percentage of processes covered by a successfully replayed test
  • Number of open anomalies at transition, by criticality
  • Percentage of users trained before commissioning
  • Quality of data retrieved: duplicates, missing fields
  • Average order processing time, before and after transition
Clarity

What causes this type of project to fail

Lack of clarity in objectives+
A project without clearly defined objectives can lead to deviations and poor resource allocation.
Underestimation of training needs+
Insufficient training may lead to resistance to change and ineffective use of the system.
Ignoring cultural impacts+
Neglecting the cultural aspects of the company may compromise team buy-in to the new tool.
Lack of post-deployment follow-up+
Failing to implement monitoring may prevent identifying necessary adjustments to optimise the use of Odoo.
Frequently Asked Questions

What is being asked of us

What are the main advantages of Odoo for a distribution company?+
Odoo allows for centralising data, automating processes, and improving visibility over operations, which can lead to better decision-making.
How to assess specific needs before deployment?+
It is recommended to conduct workshops with stakeholders to gather their expectations and identify critical processes for improvement.
What is the importance of training in the deployment of Odoo?+
Training is essential to ensure that users master the system and use it effectively, thereby minimising resistance to change.
What to do in case of resistance to change?+
It is important to involve teams from the outset of the project, communicate the benefits, and offer personalised support to facilitate adoption.

Let's redo this calculation with your figures

The diagnosis replaces each hypothesis on this page with data collected from you. It lasts half a day and does not commit you to anything.

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