Michelin meeting 28/06/21


- Problem Statement: Inventory reduction, not only on Michelin side but also on customer side
- Root cause analysis: Forecast accuracy, inability to leverage → HOW?
- Customer internal forecasts: MAPE M-3 = 45% → Improvement achieved by 10% through internal Planning Clinic; Tomasz would expect at least MAPE = 30% (or even 25%).
- Customer is providing 12-months rolling forecast
- Service level of 95% but not reactive enough → but this is the Michelin business model
- Workshop with 11 customers
- Diversified portfolio, big, small, digitized, no IT maturity

Customer feedback from workshop:
- We want to improve Working Capital
- We want to increase Sales
- We are supplying Europe from Europe with weekly signal; good reactivity with short lead times compared to competitors in Asia

- Yearly forecast shared by customers, monthly bucket on product level
- Contractually agreed bands of flexibility → 95% availability is only measured on the contractually committed demand but Michelin would like to deliver also on the non-contractually agreed Sales ("spot orders")
Scope:

Tier 3: 2000
Tier 2: 400
Locations: 2 sites
Customers: 110, all share forecasts
4 years of data, comparison to 2019 results
Results:

- Michelin has a group target to reduce scrapping of tyres very soon
⛔ Michelin would like to provide AI explainabilty. Why is the value as it is?
—> They are looking more for trends
External data from Michelin Market Intelligence team:
- Market data = composite index
- OEM data
Potential additional data points: Sell-out from customers (customer demand)
Timeline:
- 2 years for implementation of the final solution
- Customers dont expect to see much before the end of 2021
- For example, first internal validation in the end of the year
Discussion (Gelald's questions)
- How to measure success?
- Gerald: What if customer is changing priority of stock-out and stock reduction in the middle of the project?
- What is the reference when 2020 was crisis mode? → historic references not really valid.
- What is the Flowlity business model? - How do we share value with the customers? Pricing?
- What is the right way to start?
- How many customers?
- How many products?
- What is the architecture for capturing and sending data?
- Complexity of the model: Is it a problem that only some customer are part of the pilot.
- Working together:
- Digital factory in Pune → there is a possibility to source internally
- Pricing