Case Study: L’Équipe optimizes newspaper sales and reduces waste with BearingPoint’s Nitro AI solution

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Preview of the L’Équipe Case Study

L’Équipe cuts unsold newspapers by 5% with BearingPoint

L’Equipe, the French sports newspaper market leader, faced the challenge of accurately forecasting daily print demand across 25,000 vendor locations. Fluctuations due to sports events and weather led to costly overproduction or missed sales opportunities. The company partnered with the consulting firm BearingPoint to address this using BearingPoint's AI-driven Nitro solution.

BearingPoint implemented its Nitro managed service, which uses machine learning on historical and daily data to generate precise next-day demand forecasts for each retail location. This allowed L’Equipe to reduce unsold copies by over 5%, cutting approximately 2 million unnecessary prints, lowering costs, and reducing its carbon footprint. Even during the COVID-19 pandemic, BearingPoint's solution helped planners maintain high forecast accuracy and adapt to volatile conditions.


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