Cdiscount meets the students of the MSC Data Analytics for Business

Cdiscount, leading French online retailer, meets the students of the MSc Data Analytics for Business and gives a lecture dedicated to artificial intelligence applied to pricing, sales forecasting and purchase planning.

Cdiscount meets the students of the MSc Data Analytics for Business

On December 15, 2022, the students of the MSc, Master of Science Data Analytics for Business met with Cdiscount for a conference on AI applied to pricing, sales forecasting and purchase planning in the presence of Olivier Dupoüet, MSc, Master of Science Data Analytics for Business director.

The conference was hosted by

Hugo Larricq, Pricing and Commercial Performance Director at Cdiscount;
Claire Hillion, Head of Business Planning at Cdiscount.

Following a company’s presentation, Hugo Larricq and Claire Hillion detailed how artificial intelligence applied to their professional field, pricing, sales forecasting and purchase planning.
The students were able to take advantage of this moment to exchange with leading professionals in their sector

Cdiscount, French e-commerce platform leader

Founded in 1998 in Bordeaux, Cdiscount's mission is to facilitate access to cultural products for as many people as possible. In less than 10 years, Cdiscount has become the leading French e-commerce company with a customer base of over 10 million people. Cdiscount has more than 2000 employees

Source: cdiscount.com

Meeting professionals, an opportunity for MSc Data Analytics for Business students

Meeting experts, exchanging with them, asking questions, building a network, discovering a new company, this is what the MSc, Master of science Data Analytics for Business course offers throughout the year. KEDGE is committed to training future professionals who are aware of the realities of the business sector for which they will become professionals.

Why choose the Data Analytics for Business programme

The MSc, Master of Science in Data Analytics for Business is built on three pillars essential to the success of the digital transformation of companies:

Modelling, based on machine learning and business analytics techniques, which enable companies to improve their operational excellence and develop new business models.

Understanding information systems, which are the infrastructure for deploying models.
Knowledge of the company's businesses and major functions, which initiate projects and ultimately use the applications.