Business challenge addressed
Implementing a Retail assortment and replenishment process
As part of its Supply Chain transformation and to support its growth ambitions, Jacquemus partnered with OneHive to deploy Anaplan as a solution for assortment management, target stock calculation, replenishment, and order generation across its retail network.
Client testimonial
“Since implementing the Anaplan solution for calculating target stock levels and replenishment, we have seen a clear reduction in stock coverage. We are fully satisfied with the value delivered by the solution and the visibility it provides.”
Jean BOUDOU, Business & Demand Planner
Manual replenishment calculations were time-consuming, making automation essential to increase the frequency of stock target reviews and better align decisions with actual demand.
The Anaplan application designed and implemented by OneHive covers the full replenishment process: in-store assortment management, replenishment calendar planning, substitution management, and operational reporting. The solution calculates average daily sales using multiple approaches: historical data enriched with anticipation factors (seasonality, events), forecasts, or initial allocation quantities.
Target stock levels are automatically calculated and adjusted only by exception (less than 3% of results are modified by users), before being used for replenishment calculations and order generation. Integrated order tracking further strengthens operational visibility and decision reliability.
The application automates many operational tasks while preserving human expertise for high-value arbitrations.
The application automates many operational tasks while preserving human expertise for high-value arbitrations.
From the outset, the Anaplan application was designed to evolve with future needs. Flexible logic was built in to anticipate scenarios such as the opening of local warehouses or changes in the Retail network. This approach ensures a sustainable solution capable of supporting growth and organisational transformation.
The Anaplan application supports physical stores while also integrating Web and Marketplace inventory management. This omnichannel approach ensures consistent product availability both in-store and online, while enabling more accurate demand anticipation based on each channel’s specificities.
Beyond model development, collaboration was reinforced through the training of two users as Anaplan Model Builders. Through co-design sessions, they acquired the skills needed to evolve the application and develop new features autonomously. This approach ensures long-term sustainability and strong ownership by internal teams, supporting agility and responsiveness to future needs.
Implemented solutions
Sprint-based organisation for rapid implementation
Benefits
Deployed in just a few months, the Replenishment model is now used by the Supply Chain teams who co-designed it. It provides a comprehensive view of key performance indicators (stock-outs, overstocks, launch management, etc.), while taking product sales performance into account.
Key figure
-25%
Replenishment Volume
Reduction in replenishment volumes, leading to lower warehouse labour requirements.
Key figure
-30%
Overstock
Significant reduction in overstocks thanks to improved inventory allocation.
Key figure
96
Availability Rate
Increase in product availability by 5% across Core and Signature items.
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, Messika, a luxury jewellery house, secures decision-making and supports its international growth.
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.
Retail Replenishment refers to all the processes used to manage in-store inventory based on actual sales, target coverage levels, and logistical constraints. Its goal is to ensure product availability in the right place, at the right time, while avoiding excess inventory.
In a context of volatile demand and an increasing number of sales channels, Replenishment has become a strategic lever to improve service levels, secure revenue, and control costs related to inventory holding and operations.
An automated Replenishment project primarily helps secure demand calculations and reduce reliance on manual processing. Automation increases the frequency of stock target reviews, improves responsiveness to demand fluctuations, and significantly reduces the risk of errors.
Supply Chain teams can therefore focus on high-value decision-making, which typically results in lower overstocks, reduced replenishment volumes, and a measurable improvement in product availability.
Anaplan makes it possible to model the end-to-end replenishment process within a single, collaborative application.
The platform integrates store assortment management, replenishment calendars, target stock calculations, substitutions, and order generation.
Thanks to its flexibility and real-time calculation capabilities, Anaplan enables exception-based adjustments, strengthens the consistency of business rules, and provides shared visibility across Retail, Supply Chain, and IT teams.
The average duration of a Replenishment project on Anaplan typically ranges from 3 to 5 months. It depends on several factors, including the complexity of the distribution network, data quality and availability, functional scope, and the maturity of the teams.
A short-sprint delivery approach allows usable features to be deployed quickly, secures functional decisions early on, and supports a gradual ramp-up of user autonomy.
Successful adoption relies on strong involvement from business teams from the early stages of the project. Co-designing business rules, conducting regular testing, and ensuring transparency around calculations help build trust in the model.
Change management, combined with targeted training and post-deployment support, enables users to take ownership of the solution, reduce manual adjustments, and embed automated replenishment sustainably into day-to-day operations.
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