Business challenge addressed
Mastering the business and responding to disruptions with agility
We contributed to the structuring of cross-functional planning, from the purchase budget to store replenishment, covering sales forecasting and stock rebalancing, in order to improve sell-through rates and retail network performance.
Client testimonial
“OneHive delivers! A true understanding of the business, relevant advice and fast technical execution, all driven by constant commitment. A genuine transformation accelerator for our operations."
Chief Operations Officer
Our projects deliver measurable gains: improved forecast accuracy, reduced budget variances, better product availability and faster decision-making. By unifying data and processes, we strengthen collaboration between Retail, Finance and Supply Chain. The outcome: greater visibility, fewer silos and sustainably controlled performance.
Key figure
+10
Number of use cases
Numerous use cases addressed across Finance, Merchandising and Supply Chain
Key figure
+25%
Permanent lines growth
The tools enabled ambitious sales targets on permanent lines to be achieved within 2 years
Key figure
30
Number of users
A platform connecting users for seamless collaboration
Contexte & défis
The Maison embarked on an ambitious transformation to structure its planning processes and tools. A high sell-through ambition that was difficult to achieve, recurring overstock and uneven stock distribution across the network led Eres to rethink its methods. Since 2021, OneHive has been supporting Eres through a multi-project roadmap covering Finance, Merchandising and Supply Chain.
The first workstream focused on store replenishment and in-season stock rebalancing. Building on these early results, projects followed in succession:
A connected Anaplan ecosystem, built progressively over five years.
Eres manages its seasonal cycles with precision:
Forecasts are adjustable through to end of product life and are based on sales patterns drawn from historical data, assigned to new references according to their characteristics. A structured framework to secure launches, smooth production and guarantee store availability throughout the year.
In the lingerie and swimwear world, size proliferation is a structural challenge. The Buying Tool deployed at Eres addresses this complexity through four key features:
Buyers focus on product strategy. Consolidation calculations are handled by the tool.
The Best Estimate at Eres is based on a detailed breakdown of the store revenue budget: by product category and by typology (carry-over, seasonal, markdowns). Multi-dimensional reconciliation aligns the Retail, Finance and Merchandising perspectives. Carry-over forecasts are integrated in real time to refine trajectories. This approach reduces gaps between plans and gives each team a consistent view of expected performance.
SOLUTION
Shared data for accelerated decisions
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
Industrial planning
Pochet Group structured its production planning, Demand Planning and S&OP in Anaplan to manage its multi-site industrial Supply Chain.
Assortment and replenishment
By structuring its retail replenishment on Anaplan, Messika, a luxury jewellery house, secures decision-making and supports its international growth.
Assortment and replenishment
By structuring its retail replenishment on Anaplan, premium fashion brand Jacquemus is reducing overstock and improving product availability in stores.
Discover answers to key questions about our services and approach.
Anaplan aligns all stakeholders on a single source of data. Excel file exchanges and back-and-forth emails are replaced by automated flows. The tools are interconnected: information flows reliably and in real time between Finance, Merchandising and Supply Chain.
Structuring assumptions, improving data reliability and implementing shared indicators make it possible to align Retail, Finance and Supply Chain around a common reference framework. Decisions gain coherence across strategy, budgets and operations.
Anaplan connects to existing systems (ERP, CRM, BI) via native connectors, APIs or ETL interfaces. These mechanisms ensure synchronisation, consistency and traceability of data flows. The platform provides a robust foundation for planning analyses and calculations.
The Optimizer solves optimisation problems by maximising product sell-through while minimising logistics costs. It takes into account capacity constraints and stock availability. Anaplan's computing power makes these analyses reliable and instantaneous, regardless of data volume.
Key users are involved from the design phase. They define requirements, validate interfaces and prioritise features. Training sessions are organised for each team. Co-constructing objectives creates lasting engagement and a genuine sense of ownership of the solution.
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