Use Case - Optimizing Supply Chain Data at a Multinational FMCG Company

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Customer description

A leading multinational FMCG company, based in the Rotterdam region, that is known worldwide for its wide range of consumer products. The company has a complex supply chain that covers multiple continents and processes millions of products per year.

Challenge

The company was struggling with inefficiencies in their supply chain due to outdated data management systems. These systems were unable to integrate and analyse real-time data, leading to delays, higher operational costs and a lack of insight into supply chain performance.

Solution

Implementation of an advanced data management platform that enables real-time data integration and analysis. This platform uses modern frameworks such as Apache Kafka for data streaming, Apache Hadoop for data storage and processing, and Tableau for data visualization. In addition, specific security measures such as end-to-end encryption and role-based access control were implemented to ensure the integrity and security of the data.

Approach

  1. Analysis and Planning:

Blackbirds started with a thorough analysis of the existing systems and processes. This included identifying bottlenecks and inefficiencies in current supply chain data management.

  1. Design and Implementation:

Based on the analysis, Blackbirds designed a customized data management platform. This platform was implemented using an agile methodology, allowing continuous improvement and adaptation.

  1. Integration and Testing:

The new platform was integrated with the company's existing systems. Rigorous testing was conducted to ensure that the platform functioned seamlessly and met business requirements.

  1. Training and Support:

Blackbirds provided extensive training for the company's staff to ensure they were able to use the new system effectively. In addition, ongoing support was provided to quickly resolve any issues.

Results

  • Improved Efficiency:

The company saw a 20% improvement in supply chain efficiency thanks to the ability to integrate and analyze real-time data.

  • Cost reduction:

Operational costs were reduced by 15% by eliminating inefficiencies and delays.

  • Better Insights:

The new platform provided in-depth insights into supply chain performance, allowing the company to make better-informed decisions.

  • Increased Safety:

The implementation of advanced security measures increased protection of sensitive business data.

Conclusion

Through this approach and solution, the multinational FMCG company was able to significantly improve its supply chain data management. The implementation of an advanced data management platform led to increased efficiency, cost savings and better insights, which ultimately contributed to overall business operations and competitiveness.

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