Supply Chain Analytics

Transparency - more important than ever!

Decisions such as the adoption of the Supply Chain Due Diligence Act place new demands on the transparency of supply chains, especially with regard to compliance with human and environmental rights. But the increasing importance of supply chain risk assessment also necessitates new approaches to analysis. How can the risk or resilience of the supply chain against unexpected events be assessed? Innovative metrics such as TTR (time-to-recover), TTS (time-to-survive) or PI (performance impact) help to identify hidden risks and increase the resilience of the supply chain.

Overall, this increases the complexity of the required KPI models and thus, of course, also the requirement for the underlying basic data. In supply chains, this data usually accumulates in huge quantities.

Supply chain analytics helps define the right timely metrics, ensure data availability, and make sense of that data via appropriate infrastructures by uncovering patterns and providing insights.

In summary, supply chain analytics enables companies to make data-driven decisions that strengthen their competitiveness and drive business success.

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The dashboard shows the most important key figures at a glance.

The scorecard provides insights into operational performance.

Our services for you

Transparency

Based on your individual requirements, we develop suitable key performance indicator models and control systems. With the help of best practice experience, we provide the right input to efficiently integrate new requirements into existing models.

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Risk analysis

Together, we develop the risk assessment of your supply chain based on defined key figures. We identify where the greatest weaknesses exist and what damage could occur, for example, due to delivery failures.

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Data integration

Based on existing data requirements, we identify availability, derive data models and sensible architectures, integrate and harmonize data, and thus ensure a central basis for all relevant data.

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AI Data Analytics

Using AI-supported models, we analyze your data and identify unknown patterns or forecast future developments. Possible is the one-time external analysis or the permanent integration into your system landscape.

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Implementation

We support you in the introduction, expansion or migration of innovative analytics software solutions or technologies such as artificial intelligence, machine learning and IoT.