AI & Ecommerce Analytics training
Qualiopi-certified training organization. Our training courses are offered to companies, either face-to-face or remotely, in French or English , and are Opco eligible.
The aim of this course is to help e-commerce teams to make concrete use of artificial intelligence in their analysesin order to gain in efficiency, relevance and decision-making capacitywithout losing touch with business issues.
Objectives
– Transforming AI into an operational lever
– Exploiting reliable, AI-enabled data
– Structuring AI-enhanced analyses
– Moving from analysis to decision-making
Target audience
Ecommerce, acquisition, merchandising, CRO, UX and CRM teams wishing to progress with the use of AI and performance analysis of their e-commerce platforms.
Prerequisites
– Computer literate
– Good digital & e-commerce basics
– Access to a Digital Analytics solution (Google Analytics, Piano Analytics, …)
– Access to an LLM recommended
Benefits
At the end of this course, participants and their companies will benefit from:
– a clear and pragmatic understanding of AI applied to e-commerce,
– truly activatable and business-oriented AI uses,
– better prepared and more reliable data for AI,
– an AI-enhanced, mastered and reproducible analysis methodology,
– faster, actionable and prioritized recommendations,
– enhanced e-commerce management, but still under human control.
Level
Beginners to advanced.
Duration
From 2 h to 12 h depending on the modules chosen.
Practical information
In-company training delivered by an instructor specialized in digital analytics, on site or remotely.
See our practical details >
Module 1: AI & e-commerce analytics – Fundamentals
Level: Beginner | Duration: 2 h
Understand the fundamentals of AI to identify and activate concrete use cases in e-commerce analytics
Objectives :
1. Understand the basic principles of LLM and AI
2. Identify AI use cases
3. Understand the principle of AI workflows
Module 2: AI & e-commerce analytics – Preparing digital analytics data for AI
Level: Beginner | Duration: 2 h
Make Digital Analytics data usable by AI in a reliable and structured way
Objectives:
1. Identify relevant digital data
2. Structure a usable export
3. Limit interpretation errors
Module 3: AI & e-commerce analytics – Preparing e-commerce data for AI
Level: Beginner| Duration: 2 h
Prepare reliable, standardized e-commerce data for effective use by AI
Objectives:
1. Understand the transactional structure
2. Prepare a standardized multi-platform export
3. Anticipate business pitfalls
Module 4: AI & e-commerce analytics – Analysis prompts & methodology
Level: Intermediate | Duration: 2 h
Build reliable prompts and an AI analysis methodology to produce actionable recommendations
Objectives:
1. Build reliable prompts
2. Apply an AI analysis methodology
3. Produce actionable recommendations
Module 5: AI & e-commerce analytics – Digital Analytics case studies
Level: Advanced | Duration: 2 h
Apply AI to concrete digital analytics cases to produce reliable acquisition, merchandising and CRO recommendations.
Objectives:
1. Apply AI + method to Digital Analytics issues
2. Formalize acquisition / merchandising / CRO recommendations
3. Limit interpretation errors
Module 6: AI & e-commerce analytics – Case studies in e-commerce analytics
Level: Advanced | Duration: 2 h
Apply AI to concrete e-commerce analytics cases to formulate reliable merchandising, pricing and CRM recommendations.
Objectives:
1. Apply AI + method to e-commerce Analytics
2. Formalize merchandising / pricing / CRM recommendations
3. Limit interpretation errors
Our teaching methods
Our 2-hour modules are designed to maximize participants’ concentration and commitment. Using real-life case studies and your own data in complete confidentiality, you’ll easily assimilate the concepts covered. Our approach is pragmatic: we share best practices and concrete avenues of analysis.
Learning assessment
A multiple-choice questionnaire is sent to all participants at the end of each training module. A score of at least 70% is required for validation. A training certificate is sent to each participant for the modules completed, once the training is over.
Accessibility
Our online and face-to-face training courses are accessible to people with disabilities. We identify the constraints linked to the disabled situation (accessibility of premises, equipment, mobility, compatibility with the training course, timetables, pace…) and assess the specific needs to adapt the training courses.
Pourquoi choisir Optimal Ways Academy ?
- Nos formateurs experts en Digital Analytics permettent à vos équipes de progresser rapidement dans la démarche d’analyse et d’optimisation.
- Nos modules de 2 heures sont conçus pour maximiser la concentration et l’engagement des participants. Ce format souple facilite la planification des formations pour vos équipes.
- Nos programmes sont conçus pour répondre parfaitement aux besoins uniques et au niveau de maturité de votre équipe.
- L’étude de cas réels et l’utilisation de vos propres données en toute confidentialité permet un apprentissage facile des concepts abordés.
- Nos formations favorisent rapidement et concrètement le développement de nouvelles compétences pour vos équipes.
- La certification Qualiopi atteste de la qualité et l’efficacité de nos actions de formation continue.
Ils nous font confiance
Depuis la création d’Optimal Ways Academy, des équipes de nombreuses enseignes
d’envergure nationale et internationale ont pu bénéficier de nos formations.
