Production and paint shop optimization for cost savings in automotive manufacturing

Client NameHyundai

Client CountryCzech Republic

  • Client typeEnterprise
  • IndustryTransportation, Mobility & Logistics
  • Application areasData & Analytics / Business Intelligence, Manufacturing & Production, Operations & Process Automation
  • AI technologiesAI Agents & Task Orchestration, Machine Learning, Optimization & Planning
  • Business impactsData-Driven Decisions & Planning, Operational Efficiency & Cost Savings
  • Data typesSensor / IoT Data, Structured Tabular Data
  • Delivery modelsProduct / Licensed Software, Service / Subscription
  • DeploymentsCloud
  • Key capabilitiesDecision Support & Augmented Analytics, Planning, Scheduling & Optimization
  • Project stagesInitial Production Deployment
  • Solution formsAPI / Micro-service Interface, Automated Backend Process, Web Portal / Dashboard

Solution Description

Problem description

Hyundai aimed to reduce material consumption in the paint shop and improve assembly line planning in Prague to avoid bottlenecks in the production process while maintaining flexibility.

Solution

Using an AI optimization model on the Adastra OptiSuite platform, it was possible to account for 14 key production constraints and minimize solvent consumption by paint robots. The solution was tested over 22 days, leading to significant improvements in planning efficiency.

Main Users of the Solution

Production planning specialists, logistics experts.

Project timeframe (months)

4

Technologies used

Adastra OptiSuite platform, Spring, Kotlin

Additional services

  • Change management and user training
  • Providing MLOps infrastructure

Implementation

Project Owner on the Client's Side

Head of functional/operational unit

Participation on the Client's Side

  • Domain / process experts
  • Project and change management
  • End users

Form of Supplier Involvement

Full implementation.

Operation and Maintenance

Operational Model

Client’s internal team

Needed Competencies on the Client's Side

Planning specialists, data experts.

Other Resources or Infrastructure

Cloud infrastructure, ongoing vendor support.

Impact and Results

Qualitative Benefits

Optimized production planning, reduced material consumption in the paint shop, increased efficiency.

Quantitative Results

Annual savings of over CZK 13 million, return on investment within 3 months, 74% improvement in primer application.

Client Feedback

“Adastra helped us optimize the production plan and improve paint shop utilization, which increased our savings and enhanced operational efficiency.”

Lessons Learned and Recommendations

Key Success Factors

Adaptation to new production methodologies, intensive collaboration with the client, AI integration.

Biggest Challenges

Adjusting the supply chain to the new delivery logic, managing production constraints.

Recommendation for Others

Engage key experts in the planning optimization process and leverage AI to improve operational processes.

Stay Up to Date with CNAIP. The Czech AI is evolving fast—and we'd love for you to be a part of it. Leave your contact to hear about what's next.

By subscribing, you agree to our Terms of Service.

© cnaip 2025

Want to become a part of Czech AI?

Share your story and showcase what you can achieve with artificial intelligence. Your involvement will inspire others and help us map out the Czech AI scene in its entirety.