Sodebo Selects DynaSys Demand Planning Solution

About a year ago, QAD made the wise and relatively inexpensive acquisition of DynaSys in France for sales and operations planning (S&OP), procurement planning, production planning, distribution planning, demand planning, strategic network planning, and inventory optimization capabilities. Strasbourg is now a supply chain management (SCM) competence center for QAD, as DynaSys has 27 years of experience and several million (USD) in revenues. About 20 percent of its customers are joint with QAD.

QAD can now vicariously tackle some other industries where it hasn’t had much success in light of its traditional focus on manufacturing. Most recently, DynaSys, a supply chain planning (SCP) division of QAD, announced it has signed a new contract with Sodebo, a European producer of fresh food including pizza, sandwiches, pasta, and salads. The company’s products are distributed to supermarkets and caterers and exported within the European Union.

Sodebo needed a better way to automate and optimize its forecast processes for normal demand as well as for that generated by promotions (and to better manage promotional expenses and activity). The company also sought a solution that could coordinate departments across its enterprise, such as marketing, production, operations, and finance. From amid a slew of considered solutions, DynaSys beat out the lesser known local specialist offerings FuturMaster and VIF in the final round.

DynaSys' flagship n.SKEP solution was designed to meet the demand management needs of agri-food businesses, and this was one of the “order-winning” criteria for Sodebo.

DynaSys has patented its Single Click Collaborative (SCC) in-memory technology, and it boasts a list of more than 120 high-profile European customers in luxury consumer goods and life sciences. The solution supports collaboration for long-, medium-, and short-term forecast needs within a monthly, weekly, or daily horizon.

In addition, Sodebo should be able compare strategic plans with tactical and operational plans to more efficiently plan capacities for product families at different sites within its enterprise.
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