Sales Forecast Industrialization at the Monnaie de Paris: A Key Challenge for the Supply Chain

Sales forecast industrialization at the Monnaie de Paris: a key challenge for the supply chain

As part of its digital transformation, the Monnaie de Paris launched a project to improve it’s sales forecasting process and to optimize production and inventory. As a supply chain expert, I had the opportunity to support this initiative, which aimed to better anticipate demand through data and new technologies.

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Challenges and Objectives

The Monnaie de Paris manufactures both circulating and collector coins, subject to high demand variability. Prior to the project, forecasting relied on historical approaches, leading to significant gaps between supply and demand. The objective was therefore to adopt a more analytical solution, integrating artificial intelligence and statistical modeling.

Solution Implementation

1. Selection and deployment of a forecasting tool

Following a needs analysis, a solution combining machine learning and statistical analysis was selected, enabling better account for seasonality and market trends.

2. Data structuring

We worked on improving data quality, integrating external indicators (pre-orders, search trends) and automating predictive models.

3. Change Management

Team adoption was facilitated through training, dedicated governance and closer collaboration between Supply Chain and Sales.

Results and Benefits

• 30% reduction in forecast variance on selected product lines.
• Reduction in overstock and improved stockout management.
• Optimization of procurement and service level.

This project demonstrates how a data-driven approach strengthens Supply Chain agility and performance

Takeaways and Looking Ahead

Improving forecast accuracy is a strategic lever for any business facing demand variability. At the Monnaie de Paris, this initiative is part of a broader continuous improvement journey.

Sources :

• Monnaie de Paris, activity reports (https://www.monnaiedeparis.fr)

• Sales forecasting and Supply Chain studies (Gartner, McKinsey, 2024)