Industrial planning with Anaplan
Yoplait - Sodiaal
Discover how Yoplait optimizes industrial planning with Anaplan, combining production scheduling, inventory deployment and fresh dairy constraints.





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Our teams remain available to share a more detailed feedback on this project or to explore your advanced planning and constrained optimisation challenges.
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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Cas Client
Industrial planning with Anaplan
Discover how Yoplait optimizes industrial planning with Anaplan, combining production scheduling, inventory deployment and fresh dairy constraints.
Article • 10 min
October 19, 2026
Learn how to structure trade-offs, define the right planning granularity and make better decisions with Anaplan.
Cas Client
Supply Chain Planning
Transformation of supply chain planning operations at a major French perfumes and cosmetics group, in partnership with Argon & Co
Discover answers to key questions about our services and approach.
Yoplait (Sodiaal) was recognised for an industrial planning project delivered in a highly constrained ultra fresh environment. The award highlights the solution’s ability to support complex industrial decisions, secure daily execution and embed a constrained optimisation model at the core of planning processes.
The Customer Award recognises outstanding transformation projects delivered on the Anaplan platform. It rewards operational impact, process robustness and the value created for business teams in complex environments.
Ultra fresh planning involves strict constraints related to lead times, capacities, product shelf life and distribution. Decisions must be made quickly and with high accuracy while anticipating short and mid term disruptions. This requires particularly robust tools and processes.
Such an application relies on a mathematical model capable of simultaneously integrating industrial capacities, flows, resources and demand. It generates production and scheduling proposals aligned with operational reality and updated regularly to secure daily decisions.
Advanced industrial planning is especially relevant for companies operating in complex or constrained environments such as food and beverage, pharmaceuticals, consumer goods or process industries. It delivers the greatest value where production trade offs are frequent and critical to overall performance.
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