Elevating Supply Chain Management with Predictive Analytics

Overview_

Euvic equipped the client with predictive analytics to optimize supply chain operations. The solution provided actionable insights into demand forecasting, reducing waste and improving resource allocation.

Client_

A multinational manufacturing company managing complex supply chains.

Industry

Manufacturing

Country

France

Challenge_

The client faced the following challenges:

Inefficient forecasting: Legacy systems provided inaccurate demand predictions.

High operational costs: Excess inventory and waste strained budgets.

Fragmented data: Disconnected systems limited supply chain visibility.

Solution_

Euvic implemented:

Centralized data: Integrated supply chain data into a unified platform.

Machine learning models: Developed predictive algorithms for accurate demand forecasting.

Custom dashboards: Enabled real-time visibility into supply chain metrics.

Tools & technologies

SQL Server, SSIS

ETL

Result_

The project delivered the following benefits:

Cost savings: Reduced waste and excess inventory by 20%.

Enhanced forecasting: Improved demand prediction accuracy by 30%.

Streamlined operations: Achieved better resource allocation and inventory management.

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