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Drive efficient value creation

Leverage Data and AI at engineering, manufacturing and supply chain to boost efficiency from design to execution.​​

Drive efficient value creation showcases

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This demo video is showing our end-to-end approach enabling engineering agility by improving the product performance metrics provided by the suppliers using dedicated AI technologies.​


Challenges: ​​

  • Manual data collection is time-consuming and costly​
  • Upstream supply chain data is vast and fragmented​
  • No standard approach foreseeable in the near term

Solution:​

​AI agents are supporting the human experts to obtain product performance metrics from the suppliers using established and new communication channels and feeding data into the existing business applications.

Results: ​

Enabling value chain adaptations beyond the possibilities of supply chain modifications.

What (partner) technologies are implemented in the showcase?

  • Makersite using a custom-trained AI for product data enrichment​
  • Agentic Workbench no-code solution for automating the overall process

What value do these technologies bring for our client?

  • 90% reduction of manual effort and thus labor cost​
  • 5-times faster product portfolio adaptation by significant process acceleration​
  • Up to 20% higher data quality and reliability

Our Experts:

Lukas Birn
Vice President | Sustainability Lead bei Capgemini in Deutschland

Mirachandra Klostermann
Manager | Smart Plant Germany, Capgemini Invent

The production of the battery system currently accounts for 30% of the vehicle’s value. By implementing a stringent data management system in the production process, rework and waste can be significantly reduced. Our Demo presentation in browser incl. video for Anomaly detection with AWS services and chat-bot agent for battery system manufacturing processes optimization – end to end approach.

Challenges: ​​

  • How to realize an efficient production process of battery Manufacturing​
  • How to realize savings in manufacturing of battery systems in the whole process

Solution:​

AI-Driven Root-Cause-Analysis with Comprehensive Monitoring, Cloud-Based Analytics, AI-Powered Assistance and Continuous Improvement

Results: ​

With data powered optimization solutions, a factory can reduce up to 40mio € /year costs in each factory, not to mention the additional savings in recycling and opportunity costs​

What (partner) technologies are implemented in the showcase?

  • AWS Amplify & Claude Sonnet 4 via Bedrock​

What value do these technologies bring for our client?

  • >20% faster root cause analyze to improve manufacturing process​
  • Rework down by -3%​
  • Scrap rate down by -2%

Our experts:

André Tubbesing
Principal Business Analyst in Deutschland

Julian Bloess
Consultant, Managing Business/ Enterprise Architect

Bernhard Niessen
Managing Delivery Architect – Data Driven Transformations

Wings Luo
Insights & Data | People Manager Team Data Science

Handling supply chain disruptions is still largely manual. Through a live demo of our multi-agent, automated early warning system Reflow, visitors experience how disruptions are detected, assessed, and mitigated in real time. The demo is supported by a real-world client case (anonymized).

Challenges: ​​

  • SC disruptions are increasingly affecting businesses, requiring significant efforts for meaningful impact and mitigation analysis.​
  • The impact on parts, suppliers, and service providers often becomes visible too late – when corrective action is no longer possible.​

Solution:​

  • Continuous and transparent data flows enable more accurate and timely risk insights.​
  • An agent-based AI validates, prioritizes, and converts insights into targeted, actionable measures..​

Results: ​

  • Accelerated response to supply chain risks with focus on mitigation strategies with maximum business impact​

What (partner) technologies are implemented in the showcase?

  • Prewave​
  • CrewAI​
  • (Microsoft)

What value do these technologies bring for our client?

  • 30% reduction in response time to disruptions​
  • 80% increase in anticipated supplier escalations

Our experts:

Dr. Henrik Bathke
Manager Supply Chain Transformation

Daniel Garschagen
Director Innovation and (Gen)AI North and Central Europe

Carla Eilering
Consultant | Supply Chain Transformation

More Showcases

Master the transition to software defined vehicles and autonomous driving in a mobility ecosystem.​

Blend the best of the physical and digital worlds to enhance every stage of the mobility experience. ​