Join in
CS

Automation and optimization of inspector scheduling in China

Client NameTÜV SÜD

Client CountryChina

  • Client typeEnterprise
  • IndustryDefense & Security
  • Application areasOperations & Process Automation, Strategy, Planning & Decision-Making, Supply Chain & Logistics
  • AI technologiesAI Agents & Task Orchestration, Machine Learning, Optimization & Planning
  • Business impactsCustomer Experience & Market Growth
  • Data typesGeospatial Data, Structured Tabular Data
  • Delivery modelsProduct / Licensed Software, Service / Subscription
  • DeploymentsHybrid
  • 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

TÜV SÜD needed to streamline its inspector scheduling process for pre-shipment factory inspections, as they struggled to meet demand during peak season due to complex business rules and travel constraints.

Solution

An automated system was implemented to streamline inspector scheduling, enabling rapid reassignment in case of reservation changes and integrating central software with corporate data sources.

Main Users of the Solution

Planning managers, coordination teams, data analysts.

Project timeframe (months)

5

Technologies used

Optimization algorithms, integration with UI software.

Additional services

  • Audit / feasibility study
  • AI model selection and customisation
  • Change management and user training

Use of Personal / Regulated Data

Yes

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

Joint implementation with the client

Operation and Maintenance

Operational Model

Client’s internal team

Needed Competencies on the Client's Side

Planning specialists, data analysts.

Other Resources or Infrastructure

Vendor support, centralized software.

Impact and Results

Qualitative Benefits

Streamlining the planning process, reducing staff workload, improving dispatch quality.

Quantitative Results

Reduction of planning costs by 80%, reduction of operating costs by 10%, acceleration of the process to 10 minutes.

Client Feedback

“Planning automation enabled rapid resolution of scheduling conflicts and prepared our business for scaling.”

Lessons Learned and Recommendations

Key Success Factors

Efficient process analysis, customization of optimization algorithms to the client’s specific needs.

Biggest Challenges

Complex business rules and the need for rapid changes during peak season.

Recommendation for Others

Invest in automated solutions that can handle complex tasks and are flexibly adaptable to business requirements.

Promotion

Demo / Public Resources

Show profile

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.

Contact

Follow us

© cnaip 2025

Privacy Policy

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.