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EPP IMPACT – Spare Parts
October 14 – 15 | Ferrari Maranello Museum, Maranello, Italy
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EPP IMPACT – Spare Parts

Agenda

Forum Day 1 | October 14

18:00
Welcome

Welcome & Registration

18.30

Opening Remarks – The Revenue Revolution in Spare Parts and Aftermarket

Pol Vanaerde – Chair – EPP Pricing Platform

18.35

Welcome from Conference Chair

18.40
Keynote session

The Spare Parts Goldmine – Transforming Components into Profit Centers

  • Discover how to drive spare parts gross margins compared to new equipment
  • Navigate the complexity of pricing thousands of individual SKUs with varying demand patterns
  • Transform spare parts from necessary cost items to strategic revenue drivers through intelligent pricing
19:00
Round Table Discussion
  • Value-Based Pricing for Service Contracts – Moving beyond cost-plus to outcome-based pricing for maintenance agreements, extended warranties, and performance guarantees

  • Parts vs. Services Revenue Mix Optimization – Balancing individual spare parts sales with bundled service offerings to maximize customer lifetime value

  • Digital Services Monetization – Pricing strategies for IoT monitoring, predictive analytics, and software-as-a-service offerings in the aftermarket

  • Global Aftermarket Pricing Harmonization – Managing pricing consistency across spare parts and services while accounting for local market conditions

19:30

Networking F1 Experience

F1 simulators and Pit-Stop Experience

21:00

Gala Dinner

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Forum Day 2 | October 15

8:00
Welcome

Welcome Breakfast & Networking

8:30

Opening Remarks

Pol Vanaerde – Chair – EPP Pricing Platform

PRICING STRATEGY FOUNDATIONS

8:40
Keynote Session

AI-Driven Spare Parts Demand Forecasting

From Reactive Inventory to Predictive Parts Planning

  • Leverage machine learning to predict which parts will be needed when, reducing stockouts
  • Implement AI models that analyze equipment failure patterns, maintenance schedules, and seasonal variations
  • Use demand forecasting to optimize parts pricing based on predicted scarcity and availability
9:10
Keynote Session

Service Lifecycle Pricing: From Warranty to Performance Contracts

Strategic Pricing Across the Complete Customer Journey

  • Navigate pricing evolution from initial warranty through long-term service partnerships
  • Design tiered service offerings: basic maintenance, comprehensive care, and outcome guarantees
  • Implement subscription-based pricing models for continuous aftermarket engagement
  • Ethical considerations in service pricing during equipment emergencies
9:40
Round Table Discussion

Service Lifecycle Pricing: From Warranty to Performance Contracts

  1. OEM vs. Third-Party Parts Pricing Strategy – Balancing premium pricing for genuine OEM parts against competitive pricing pressure from aftermarket alternatives
  2. Critical vs. Consumable Parts Pricing – Developing differentiated pricing approaches for safetycritical components versus high-volume consumable parts
  3. Managing Massive SKU Portfolios – Automated pricing strategies and ABC analysis for manufacturers managing 50,000+ different spare parts
  4. Customer Segmentation for Aftermarket – Tailoring pricing strategies for different customer types: cost-focused vs. uptime-critical
10:10
Break

Networking Break

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TRANSLATING STRATEGY TO EXECUTION

10:50

Your Next Parts Pricing Breakthrough

Conference Chair

11:00
Keynote Session

Building the Smart Parts & Aftermarket Pricing Organization

Structuring Teams for Data-Driven Parts Excellence

  • Design organizational structures that support both parts expertise and pricing analytics
  • Develop cross-functional teams bridging technical parts knowledge with commercial pricing skills
  • Create systems that enable pricing decisions across thousands of SKUs efficiently
11:30
Keynote Session

Breaking Through Implementation Barriers: Real-World Aftermarket Transformation

From Siloed Operations to Integrated Excellence

  • Overcome the five critical challenges preventing successful aftermarket pricing integration
  • Build scalable systems that handle both parts transactions and service contract management
  • Implement governance frameworks that optimize pricing across the entire aftermarket portfolio
12:00
Panel Discussion

Advanced Parts Pricing Metrics and KPIs

Measuring Success Beyond Basic Margin Analysis

  • Implement sophisticated metrics for parts pricing performance: velocity-adjusted margins, market share by part category
  • Track competitor pricing intelligence and market positioning for key component families
  • Measure customer price sensitivity and loyalty at the individual parts level
12:40
Break

Networking luch

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ADVANCED TECHNIQUES

14:00
Keynote Session

Machine Learning for Parts Price Elasticity

Data-Driven Optimization for Individual Components

  • Deploy ML algorithms to understand price sensitivity across different part categories and customer segments
  • Implement dynamic pricing for parts based on availability, demand patterns, and competitive landscape
  • Balance algorithmic price optimization with relationship-based pricing for key accounts
14:30
Keynote Session

Customer Behavior Analytics in Aftermarket Pricing

Understanding Service Buying Patterns and Preferences

  • Segment customers based on service preferences: reactive maintenance vs. proactive partnerships
  • Implement behavioral pricing models that reflect urgency, criticality, and value perception
  • Develop personalized aftermarket offerings that combine parts, services, and digital solutions
15:00
Round Table Discussions

Customer Behavior Analytics in Aftermarket Pricing

Understanding Service Buying Patterns and Preferences

  1. Parts Data Quality and Standardization – Cleaning parts databases, standardizing descriptions, and building reliable datasets for pricing decisions
  2. Legacy Systems Integration for Parts Pricing – Implementing modern pricing tools with existing ERP and parts management systems
  3. Change Management in Parts Pricing – Getting buy-in from sales teams and customers when implementing new parts pricing strategies
  4. ROI Measurement for Parts Pricing Programs – Establishing KPIs and measuring incremental revenue from parts pricing initiatives
15:30
Break

Networking Break

COLLABORATIVE FUTURE-BUILDING

16:00
Keynote Session

Predictive Analytics for Parts Demand and Pricing

Using Machine Learning to Optimize Parts Portfolio Performance

  • Deploy algorithms to predict parts demand fluctuations and adjust pricing accordingly
  • Implement clustering techniques to identify parts with similar demand patterns for pricing optimization
  • Use decision trees to automate pricing decisions across large parts
16:30
Keynote Session

Breaking the Cost-Plus Trap in Parts Pricing

  • Move beyond traditional cost-plus models that ignore customer value perception
  • Implement attribute-based pricing for manufactured parts using physical characteristics
  • Strategic frameworks for pricing purchased vs. manufactured components differently
17:00

Closing remarks

Conference Chair

End of the event
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