Supply Chain Planning
Perfume and cosmetics group
Transformation of supply chain planning operations at a major French perfumes and cosmetics group, in partnership with Argon & Co





An international deployment of planning solutions, or their rollout across multiple entities within the same group, raises three fundamental questions. How can practices developed in different contexts be harmonised? How can teams with varying levels of maturity be brought on board? How can a consolidated view be created that genuinely supports global decision-making? This challenge arises both in multi-country environments and across multiple entities within the same group. Technology alone cannot answer these questions. A clear methodology is required. This article explores the recurring challenges of these projects and the key factors for ensuring a successful deployment of your solutions.
A planning process developed for a pilot region addresses specific local constraints: a commercial calendar, an ERP system and particular business rules. When the scope expands to multiple regions, these initial choices create friction. Planning cycles differ across regions, time horizons are not aligned and product classifications vary from one entity to another. Consolidation becomes a manual exercise that is time-consuming and produces unreliable results.
Without a shared data framework, each region builds its plan using its own tools and submits data in its own formats. Global planning committees then rely on information consolidated after the fact, which is difficult to compare across regions. The absence of clear governance between local, regional and global levels compounds the problem: responsibilities are unclear, decisions are delayed and the consistency of the global plan suffers.
A core model designed without involving local teams creates business rules that are poorly suited to their operational constraints. Users work around the tool, maintain parallel spreadsheets and the model fails to reflect what is actually happening on the ground. Conversely, an overly flexible deployment that allows each region to adapt the model freely makes consolidation impossible. The challenge is to strike the right balance between standardisation and adaptability, and establish that balance from the design phase.
These obstacles are not inevitable. Approaching deployment as a connected planning project makes it possible to anticipate and overcome them.
An international deployment involves organisational risks that must be identified and addressed during project scoping, and more broadly from the initial phase of the project (pilot, MVP, etc.). The first risk is the absence of engaged and available local stakeholders: without them, design workshops fail to capture local requirements, and solution adoption may be compromised. Local team involvement must therefore be structured in advance, with roles explicitly assigned at each level. A clear RACI matrix for each region specifies who is responsible for and who approves each stage of deployment. This is a key management tool: it clarifies roles at every level, helps estimate the actual workload and anticipates the associated costs.
The design phase must first identify the fundamental choices (technical architecture, calculation methodologies and master data) so they can be incorporated into the MVP from the outset. Local requirements are then addressed through multi-region workshops, rigorous gap analysis and early identification of differences between regions. The objective is not to standardise everything, but to define what absolutely must be standardised: key calculations, shared indicators and common decision-making cycles. Everything else can be configured locally, provided the core model supports it. A connected planning process brings each region into a consistent global planning cycle without overlooking its operational realities.
A shared platform is more than a consolidation tool. It is where assumptions are developed, challenged and validated by all stakeholders. It harmonises calculations, master data and interfaces with local ERP systems. Without this common foundation, decisions remain informal and difficult to trace. With it, every planning committee can rely on comparable data, scenarios built using the same rules and a consolidated view available in real time.
We identify local champions from the start of the project. Their role is to maintain alignment between design decisions made at the global level and the operational realities of their region. Throughout the project, these champions participate in governance meetings at key milestones: validating business rules, reviewing application screens and making decisions about local requirements. This approach ensures that local teams do not discover the solution at go-live, but are actively involved in building it from the beginning.
Our approach to the core model is based on a clear principle: a global model should focus on the decisions that matter most, rather than attempting to cover every possible exception. We work with business teams to identify the decisions that have the greatest impact on overall performance: inventory allocation between regions, capacity trade-offs, shortage management and market prioritisation. The model is designed to make these decisions visible, faster and properly documented.
When a local requirement cannot be addressed by the core model, two options are considered. The first is to configure the existing model. The second is to accept a local exception, governed by a decision-making process involving the core team. This framework ensures that exceptions remain controlled and do not undermine overall consistency.
We favour a phased deployment, starting with pilot regions. The first region validates the core model under real operating conditions, identifies necessary adjustments and delivers measurable results. These results provide the most tangible evidence for engaging subsequent regions. At every stage, change management is integrated into the project: targeted training, operational documentation and hands-on support after go-live. This phased approach reduces the risks associated with deploying across the entire organisation simultaneously and supports adoption region by region.
An international deployment does not end when the last region goes live. To sustain the value created, the organisation must be able to evolve the model, support new users and manage the improvement backlog without systematically relying on an external implementation partner. We structure this knowledge transfer by training internal Model Builders and identifying key business experts who can jointly operate and enhance the platform. This centre of excellence becomes the foundation of post-project governance. It maintains model consistency over time, centralises decisions on future enhancements and supports deployment across any remaining regions.
We believe that scalable and inherently flexible platforms are particularly well suited to facilitating project deployments across multiple entities or internationally. This is one of the reasons why we have chosen to implement Anaplan and Ganacos for our clients. These platforms adapt to the complexity and scope of each project without requiring major reconfiguration. Built for collaboration, they connect teams, centralise data and structure decision-making processes at scale. This is precisely what enables them to address the most common risks of an international deployment: fragmented master data, silos between regions and decisions that cannot be traced. Our role is to make the most of these platforms to design a robust model, aligned with your decision-making processes, and deliver value from the first weeks of production.
A successful international deployment or multi-entity rollout involves more than replicating a model across new regions. It requires a structured methodology, clear governance and a platform capable of delivering global consolidation without sacrificing local operational realities.
This is what we build with our clients: a robust core model, teams engaged from the design phase and an organisation capable of maintaining and evolving the model over time. Go-live is not the end of the project. It is the starting point for value creation. This is the ambition we bring to every client engagement.
behind the article
A graduate of INSA Lyon, Nicolas supports OneHive’s clients in the design and roll-out of planning solutions. With over five years’ experience, he works on a wide range of supply chain issues, including demand planning, DRP, PDP, S&OP, OTB and restocking. His expertise enables him to support projects in demanding environments, particularly in the retail, fashion, luxury and agri-food sectors.
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Success depends on three elements: a shared core model, clear governance between global and local teams, and a phased deployment approach. The model must harmonise calculation rules, performance indicators and decision-making processes, while allowing certain local configurations. A pilot site or region makes it possible to validate these choices before rolling them out more broadly.
Involving local teams from the design phase is also essential to identify operational constraints and encourage solution adoption.
A core model must define the elements that should remain consistent across all entities: master data, performance indicators, calculation rules and key decision-making processes. It must also identify which parameters can vary locally, such as certain commercial calendars or operational rules.
Building the model involves workshops bringing together central and local teams, a gap analysis of existing practices and validation of common rules. Exceptions must be managed through dedicated governance to preserve the consistency of the global model.
A phased deployment by country, region or entity generally makes it easier to manage risks. An initial pilot region validates the model's functionality, data interfaces and business use cases under real operating conditions.
Lessons learned during this phase are then used to refine the approach before expanding the rollout. This also facilitates user training and change management. A simultaneous deployment remains possible, but requires greater coordination and offers fewer opportunities to make adjustments between stages.
The first step is to distinguish between rules that must be standardised and those that can remain specific to each entity. Core calculations, shared performance indicators and decision-making cycles must be harmonised to enable reliable consolidation.
Local constraints can be incorporated through configuration when the core model architecture allows it. If an exception requires a more significant adaptation, it must be assessed and approved by the team responsible for the global model. This governance prevents the proliferation of incompatible local versions.
The choice should be based as much on the partner's ability to manage a multi-entity project as on their technical expertise in the platform. A partner must be able to design a scalable core model, coordinate local teams, organise decision-making across different governance levels and support adoption after go-live.
It is also important to assess their phased deployment methodology, their ability to integrate existing systems and their approach to knowledge transfer. At OneHive, these dimensions are built into the project from the scoping phase, with particular attention to governance, local champions and establishing a centre of excellence.
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