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# Aperam - Pilote

Created | @June 4, 2021 5:06 PM
Created By |
Type | Prospect
Property |
Facilitators |
customer |
date of interview |
Participants |

Objective of the POC:

=> Improve Forecasts on Finished Goods

=> Compare Flowlity recommendations of buffers with actual B2Wise DDMRP

Scope:

Industrial Site of Izberg

150 Finished Goods

- 60% direct sales of finished goods, products in MTS

- 30% are intermediate products

- 10% are on make to order

100 more products for internal distribution

Users:

- 1 Demand Planning Manager ⇒ Head of Project // Paul Aubrun

- 2 Sales Representatives

- 2 Buffers Managers

Where they sell their products:

- Direct Sales to Automotive => Relative Stability in the demand and no modification of orders

- Oportunistic orders of some clients to prevent from higher prices etc

- Internal distribution to service center to finish the products for specific clients

Specific Constraints to dig:

- Multi-level locking for forecasting
  - Some specific adjustments on the forecast regarding product or customers

Timeline:

- Validate the scope and price before mid July

- Kick-off beginning September

Next Step:

- Sign NDA

- Introduce the project Management: Lukas, Jean for Flowlity. Paul Aubrun + Olivier Marx + Data Owner for Aperam.
  - Understand where the data is and how we connect to it

- Make a quote for integration and usage of the tool

QUOTE:

Integration:

Licence Fee ⇒ 2650€

- 1 Demand Planner

- 2 Sales Representative

- 2 Buffer Optimizer

Notes / User-Meeting

NOTES - MEETING 16/06/21 // Lukas leading the meeting

Validating objectives of the project, what are the main steps of a project with Flowlity.

Introducing Data Integration.

Philippe => Head of Data, All data warehousing

Olivier Marx => Head of Supply Chain Project in Europe for Supply Chain

Gregory Homareau => Head of Supply Chain

Separated approach on the two subjects

1. Optimizing forecasts

2. Optimizing Buffer Sizing

=> Inisisted, goal of the project is to demonstrate value on the forecasts

Focus on the demand side

Results and success of the project will be based on the quality of the forecasts that will be made

Demand coming from the first center and demand coming from the other center

=> Cover 150 products

To be able to demonstrate value during the POC, need to optimize forecasting on:

- Sold Articles

- Intermediate product

FYI - Order Book they have is constrained.

Simplify should be the most interesting

=> First Approach will go for the order book

WARNING => Different levels of Agrégation needed for Forecasts (Customer, Family...)

First Priority, have a full agility to do the forecasts:

- Customers view

- Product view