Elevating Supply Chain Management with Predictive Analytics
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
Background
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.
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Technology Overview
Technology
SQL Server, SSIS
ETL
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Technology
The Dream Team
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Results
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.
