Business challenge addressed
Optimising retail replenishment in a context of rapid international growth
The project enabled Messika to secure and industrialise store replenishment across its entire retail network. OneHive designed a bespoke Anaplan application to manage stock allocation, integrate local specificities and support the brand’s international expansion.
Client testimonial
"What truly sets OneHive apart is how seamlessly they combine business understanding with technical know-how. Thanks to their unique mix of skills, we were able to move fast, stay on track, and deliver a solid solution, on time and on budget."
Jérôme Saint Yves, Chief Operating Officer Messika
As a fast-growing luxury jewellery house, Messika needed to strengthen the performance of its retail network in a context of rapid international expansion, high unit value products and strong availability requirements.
Historically managed through complex and time-consuming Excel files, the replenishment process lacked agility, visibility and robustness.
OneHive supported Messika in designing and implementing a replenishment application on Anaplan, unifying data, standardising business rules and involving local markets in operational decision-making to improve collaboration and responsiveness.
After designing and deploying the application on a first pilot market within three months, the solution was progressively rolled out across all markets in less than four months, ensuring rapid and consistent adoption by local teams.
Our Supply Chain experts were involved from the scoping phase to structure business requirements and secure functional and technical design choices. Priority features were delivered in an initial MVP release, enabling a fast go-live.
From this first phase onward, Messika’s internal Model Builders were trained and actively involved in building the model, contributing to subsequent releases. This collaborative approach enabled a gradual skills ramp-up, making Messika largely autonomous today in supporting and evolving the application.
The scoping phase defined the application objectives, key process steps and the core principles of the algorithms. This groundwork facilitated detailed design, particularly around replenishment rules, inter-store transfers and interfaces between ERP systems and Anaplan.
By structuring delivery around short, iterative sprints, OneHive secured on-time and on-budget delivery while maintaining a high level of functional quality.
To address Messika’s specific requirements, OneHive designed and implemented a bespoke replenishment algorithm that mirrors a merchandiser’s reasoning. The calculation iterates through each model, identifies the store with the highest demand, then selects the most relevant colour and size.
This step-by-step logic prioritises needs where they create the most value, limits manual arbitrations and ensures fine-grained, consistent distribution across the network. Thanks to Anaplan’s calculation power, the entire catalogue is processed in just a few seconds.
In the luxury jewellery sector, ergonomics are critical to securing decision-making. The application provides a clear, actionable view of the store network, avoiding indicator overload.
Advanced filters and visual alerts allow users to quickly prioritise actions, while adaptive views facilitate navigation across different scopes. The objective: make confident decisions quickly in a data-rich environment.
Progressively deployed and co-built with the teams, the replenishment application is now used daily by Merchandising and Supply Chain teams. It provides consolidated visibility on stocks, needs and network priorities, while streamlining collaboration between central teams and local markets. Decisions are faster, better aligned and more robust.
Implemented solutions
A 3-month deployment with a progressive increase in complexity
Specialized solutions for every link of your value chain
Business Process
Simultaneously optimize product availability and commercial performance. We model your logistics network: warehouses, hubs, distribution points, in alignment with demand flows. This end-to-end view enables optimal inventory levels, efficient warehouse sizing, lower logistics costs, and consistently high service levels.
Business Process
Anticipate market fluctuations with precision and reinforce your forecasting capabilities. Our statistical and AI models capture predictive signals while our tools harness your organization’s collective intelligence. The result: a reliable forecast that supports decision-making across the entire company.
Business Process
Align commercial strategy with operational capabilities through a structured S&OP process. We implement applications that enable collaborative decision-making and effective trade-offs between service levels, resource utilization, and financial performance, ensuring seamless execution of your strategy.
Business Process
Optimize your industrial performance by balancing capacities, technical constraints, and commercial priorities. Our models help you maximize resource utilization while honoring customer commitments, supply constraints, and your broader industrial strategy.
Business Process
Maximize sales with the right product, in the right place, at the right time. Our replenishment approach combines predictive analytics with customized business rules to ensure optimal availability at point of sale while respecting operational constraints.
Other Case Studies
Assortment and replenishment
By structuring its retail replenishment on Anaplan, premium fashion brand Jacquemus is reducing overstock and improving product availability in stores.
Store Replenishment
By optimizing replenishment for more than 1,500 stores in Anaplan, L’OCCITANE, an international cosmetics group, is improving inventory reliability and product availability worldwide.
Global planning
By modelling its global end-to-end Supply Chain in Anaplan, an agri-industrial player scenarios its decisions to improve overall performance, optimise financial impact and strengthen synchronisation between Finance, Operations and Supply Chain.
Discover answers to key questions about our services and approach.
A successful retail replenishment project starts with a clear scoping of business processes, management rules, and data flows. The approach consists of designing an Anaplan application aligned with operational challenges, while progressively structuring functional scopes to secure go-live and ensure strong user adoption.
Luxury retail involves high unit values, finely tuned assortments, and demanding availability requirements. Replenishment algorithms must reflect these constraints by replicating merchandisers’ decision logic, with detailed prioritisation by store, model, colour, and size, in order to avoid overstocks and stockouts.
Anaplan provides shared visibility on key data such as inventory levels, demand signals, and network priorities, while structuring decisions through role-based workflows. This approach strengthens alignment between Supply and Merchandising teams, reduces informal arbitrations, and enables faster, more consistent, and traceable decision-making.
Capability building relies on early involvement of teams throughout the project lifecycle and on training internal Model Builders. By participating in model design, documentation, and hypercare phases, teams progressively gain autonomy in maintaining and evolving the application.
An MVP approach makes it possible to deliver core functionalities quickly, generate value within the first weeks, and secure key functional choices. It facilitates user adoption, limits project risks, and enables the solution to be progressively enhanced based on field feedback and team maturity.
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