April 8, 2026
Demand Planning: how to improve your forecasts
Three key levers to structure your Demand Planning

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behind the article
A graduate of École Centrale Paris, Mathis has supported OneHive’s clients for more than five years in designing and deploying planning solutions. Specialising in highly complex modelling challenges, he acts as an expert across the entire project lifecycle, from scoping through to go-live, ensuring design consistency, solution robustness and compliance with OneHive quality standards.
He is recognised for his expertise in ESG topics, upstream Supply Chain processes (including MPS and procurement) and in modelling challenges specific to the agri-food industry.
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April 8, 2026
Three key levers to structure your Demand Planning
Cas Client
Industrial planning
Pochet Group structured its production planning, Demand Planning and S&OP in Anaplan to manage its multi-site industrial Supply Chain.
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March 4, 2026
Feedback from the Pochet Group and Yoplait (Sodiaal)
Discover answers to key questions about our services and approach.
HiveWay does not replace existing planning tools. It operates upstream or alongside them as a decision-support module designed to inform strategic trade-offs such as warehouse location, transport mix evolution, hub transformation or ESG trajectories.
Its outputs can then be fed into S&OP or IBP processes to guide short- and mid-term planning. Its role is to bring coherence and clarity to structural decisions.
Key inputs include network structure (sites, capacities, geographies), current flows, unit costs, growth assumptions and emission factors used in ESG reporting. HiveWay adapts to your maturity level: the model can start with relatively simple granularity and be refined over time.
Carbon footprint projection requires modelling the network (sites, flows, distances and transport modes) and applying appropriate emission factors. HiveWay automates these calculations and projects them over multiple years based on growth assumptions, enabling comparison of environmental impacts across network scenarios.
Impact is assessed across three dimensions: costs, CO₂-equivalent emissions and operational capacity. HiveWay simulates each transformation scenario and automatically calculates these indicators, making it easier to identify the most efficient and sustainable option.
This requires comparing multiple network architectures: number of warehouses, locations, sizing and transport mix. HiveWay simulates these configurations, calculates financial and environmental impacts and identifies the most robust configuration based on your objectives. This approach avoids isolated decisions and supports a coherent, long-term network strategy.
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