Feedback

HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
Mémoire

Mémoire-projet

Télécharger
Libert, Manon ULiège
Promoteur(s) : Ooms, Frédéric ULiège
Date de soutenance : 16-jui-2025/24-jui-2025 • URL permanente : http://hdl.handle.net/2268.2/22765
Détails
Titre : Mémoire-projet
Auteur : Libert, Manon ULiège
Date de soutenance  : 16-jui-2025/24-jui-2025
Promoteur(s) : Ooms, Frédéric ULiège
Membre(s) du jury : Lerusse, Yannick 
de Langautier, Quitterie 
Langue : Français
Nombre de pages : 155
Mots-clés : [en] Generative artificial intelligence, customer journey, commercial performance, business model canvas
Discipline(s) : Sciences économiques & de gestion > Multidisciplinaire, généralités & autres
Institution(s) : Université de Liège, Liège, Belgique
Diplôme : Master en sales management, à finalité spécialisée
Faculté : Mémoires de la HEC-Ecole de gestion de l'Université de Liège

Résumé

[en] In a context where generative artificial intelligence is profoundly transforming commercial processes,
companies in the advertising sector are confronted with a dual requirement, to innovate in order to remain
competitive while responding to the rapidly changing expectations of their clients.
This thesis explores the integration of generative artificial intelligence into the customer journey of an ad
tech company, with the primary objective of assessing its impact on commercial performance. The study
is based on the concrete case of the company Locala, a French player specialized in geolocated digital
advertising, engaged since 2023 in the development of a proprietary generative artificial intelligence
solution, called Insights AI.
This work aims to enrich academic knowledge on the innovative uses of generative artificial intelligence in
the digital advertising sector, while offering concrete operational recommendations to optimize its
integration within commercial processes.
The approach adopted combines an in-depth theoretical analysis of the literature on generative artificial
intelligence, commercial performance, and ad tech innovations, with a qualitative investigation based on
a series of semi-structured interviews conducted with professionals in the sector. The thematic analysis of
empirical data highlights the levers for adopting generative artificial intelligence, its perceived
contributions in terms of commercial efficiency, as well as the structural and organizational obstacles to
its adoption.
The results show that generative artificial intelligence, when deployed within a controlled framework and
aligned with business needs, can significantly improve the relevance of client recommendations,
accelerate the production of personalized briefs, and strengthen the differentiation of the commercial
offer. The study also emphasizes the importance of internal team appropriation, local technological
mastery, and compliance with current regulations to ensure an ethical and sustainable integration of these
technologies.
In conclusion, this thesis demonstrates that generative artificial intelligence constitutes a strategic lever
for value creation in advertising companies, as long as it is conceived as a tool serving performance and
not as an end in itself.


Fichier(s)

Document(s)

File
Access MasterThesis_ManonLibert_MSMA2024-2025.pdf
Description:
Taille: 3 MB
Format: Adobe PDF

Auteur

  • Libert, Manon ULiège Université de Liège > Mast. sales. man. à fin. spéc. (en alternance)

Promoteur(s)

Membre(s) du jury

  • Lerusse, Yannick
  • de Langautier , Quitterie








Tous les documents disponibles sur MatheO sont protégés par le droit d'auteur et soumis aux règles habituelles de bon usage.
L'Université de Liège ne garantit pas la qualité scientifique de ces travaux d'étudiants ni l'exactitude de l'ensemble des informations qu'ils contiennent.