Objectives

40% of procurement decision-makers believe that better visibility and analytical capabilities on data will enable them to create more value. This is especially true in the context of recurring crises, which put pressure on supply chains.

Beyond merely reducing costs, the procurement function is now scrutinized for its ability to better understand markets, make smarter purchases, capture innovation through sourcing, and manage supplier risk. This is compounded by the increasing complexity of the procurement process, with exploding data volumes and a need for extreme responsiveness.

By the end of this training, you will understand how Data Science and AI can be used to enhance the procurement function.

5

maximum number of people

7 hours

of training courses

French

as the main language

Prerequisites

Have participated in the training: Introduction to Data Science and AI.

Target audience

Anyone working in the purchasing department who wants to find data solutions in order to improve performance.

Educational resources

The training alternates between theoretical courses and participatory sessions with illustrations by concrete cases (business use cases).

Instructor profiles

Optimiser la façon d’utiliser les ressources pour créer le plus de valeur possible.

Training program

Procurement: Current Issues and Challenges

  • Scope of challenges in the procurement world
  • Analysis of market trends and innovations
  • Data for Decision-Making in Procurement
    • Types of procurement data
    • Importance of data quality
    • Data cleansing
  • CSR and AI in Procurement
    • CSR in procurement
    • Contribution of AI to CSR challenges
  • Use Case Presentations
    • Review of real-world use cases illustrating AI applications in procurement
  • Business Problem Analysis
    • Identification of relevant AI technologies
    • Determination of prerequisites
  • Problem-Solving Brainstorming
    • Interactive session to identify sector-specific challenges
    • Identification of use cases to address listed issues
  • Use Case Implementation Framework
    • Interactive session to detail the most promising use case
    • Which AI technology to use
    • Necessary prerequisites
  • Trainings that may be of interest to you

    Introduction to Data Science and AI

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    AI applied to HR

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