Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

The automotive and mobility ecosystem spans strict IATF 16949, APQP/PPAP and Customer-Specific Requirements (CSRs) across OEMs and Tier-1/Tier-2 suppliers, alongside warranty claims, spare-parts logistics and customer experience across distributors, dealer networks and mobility operators. This course covers AI workflows from engineering and quality documentation to warranty/aftersales analytics and dealer/mobility operations.

Participants work on a case matched to their segment (OEM/Tier-1 manufacturing-quality or distributor/aftersales/mobility), producing a TISAX- and KVKK-aligned security checklist and an automotive AI workflow template.

Who Should Attend?

  • Engineering, manufacturing and quality managers at automotive OEMs and Tier-1/Tier-2 suppliers
  • Automotive distributor, dealer-network, aftersales and warranty teams
  • Fleet leasing, shared mobility, EV charging and connected-vehicle product managers
  • Automotive procurement, supplier quality (STA/SQE) and digital transformation leads

Key Takeaways

  • Analyse OEM Customer-Specific Requirements (CSRs), technical specs and DFMEA/PFMEA documents rapidly
  • Detect early field-quality signals from warranty claims, diagnostic trouble codes (DTCs) and repair logs
  • Design technical-service-bulletin (TSB) and repair-manual lookup assistants for dealer technicians
  • Develop data-driven decision workflows for fleet maintenance, residual-value pricing and mobility ops
  • Apply TISAX information security, prototype IP protection and connected-vehicle data privacy (KVKK) rules

Curriculum

AI Across the Automotive and Mobility Value Chain
  • AI use-case map across R&D, Tier-1 manufacturing, distribution, aftersales and mobility
  • New opportunities driven by software-defined vehicles (SDVs), EVs and connected-car data
  • Impact on unit cost, PPM quality metrics and customer retention
Engineering, APQP/PPAP and Supplier Quality (IATF 16949)
  • Extracting requirements from OEM Customer-Specific Requirements (CSRs) and standards
  • AI copilots for DFMEA/PFMEA, control plans and 8D problem solving
  • Supplier audit summaries, PPAP file checks and deviation analysis
Warranty Analytics and Aftersales Service Operations
  • Early field-failure detection from repair orders, technician notes and DTC logs
  • Technical service bulletin (TSB) and parts-catalogue assistants for dealer workshops
  • Spare-parts demand scenarios and warranty claim screening
Dealer Network, Sales, Fleet and Mobility Operations
  • Lead prioritisation, test-drive follow-up and personalised financing/trade-in offers
  • Fleet maintenance scheduling, damage assessment summaries and residual-value analysis
  • Demand and customer-support workflows for EV charging and shared mobility
TISAX, IP Protection and Vehicle/Driver Data Privacy
  • Protecting prototype, CAD and OEM confidential data under TISAX standards
  • KVKK and GDPR compliance for connected-vehicle telemetry and location data
  • Safe AI usage and verification checklist for automotive teams

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