Category: Data science

Inventory network optimization

A leading flavor and fragrance producer with complex inter-company good flows and a high level of dependencies asked EyeOn to further optimize inventory settings in their supply chain.

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Warehouse footprint optimization

One of the leading providers of paper-based packaging struggled with seasonality creating an unbalanced situation between supply and demand. To absorb the swings they rented external warehousing which caused a high total cost of warehousing.

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Tactical and strategic industrial footprint optimization

Global animal nutrition producer needed fact-based decision making based on scenario analysis. EyeOn offered a structured approach to build a decision support model. Watch the demo video!

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Inventory reduction by multi echelon optimization

We performed a project on inventory reduction for a global market leader in flavors and fragrances. They started a journey to improve their supply chain planning capabilities.

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Market driver-based forecasting at Rockwool

The challenge in long-term forecasting is to find the relevant drivers that predict market changes and development. We developed a model that supports Rockwool to understand the market with fact-based forecasting.

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Supporting with planning activities

EyeOn supported Aspen with multiple planning activities during a large scale SAP implementation: support with master data design and collection, cut-over, go-live and hypercare activities.

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Redesigning statistical forecast

EyeOn supported a multinational semiconductor manufacturer to redesign their statistical forecast based on an efficient process to quickly evaluate various scenarios in order to improve their lead times.

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Forecasting sales patterns for capacity planning

A leading global manufacturer of animal processing equipment needed a good insight in capacity requirements for production and engineering on the tactical horizon based on sales information.

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