MODULE 1
Store data and goals
orders, products, customers and defining the problem to address.
Vibecoding
Vibe Coding for E-commerce: AI Applications for Sales and Customers
The Vibe Coding for E-commerce course explores AI applications for sales and customer analysis. Work on segmentation, recommendations, churn and upselling to build prototypes based on verifiable data and measurable hypotheses.
Understand. Apply. Evaluate.
Proposed duration8 hours
Programme4 course modules
ArrangementsInformation on request
Why choose this course.
Store data can suggest useful questions but must be interpreted in context. The course connects analysis and interfaces to turn insights into testable proposals.
THE SKILLS
What you will learn.
- Organize the data needed for an e-commerce application.
- Define segments and signals of customer inactivity.
- Design product suggestions using verifiable criteria.
- Distinguish a sales hypothesis from a demonstrated result.
THE PROGRAMME
A course, step by step.
MODULE 2
Segmentation and churn
metrics, customer groups and operational definitions of inactivity.
MODULE 3
Recommendations and upselling
rules, product affinities, relevance criteria and catalog constraints.
MODULE 4
Application and testing
display segments and suggestions, verify outputs and plan impact measurement.
What the course includes
- Applied exercise described in the programme
WHO IT IS FOR
Find your starting point.
- E-commerce managers and CRM leads
- Sales and marketing analysts
- Business owners and digital consultants
Before you start
- Basic understanding of online store processes.
- Use synthetic or authorized data; real personal data is not required.
An example application
Build a demonstration application that segments fictional customers, identifies inactivity signals and suggests relevant products, with explained rules and a commercial validation plan.
YOUR QUESTIONS, ANSWERED
Questions about the course.
Does the course guarantee higher sales or lower churn?
No. Tools produce hypotheses and analyses to assess. Effects also depend on products, prices, market conditions, data and implementation.
Do I need real customer data?
No. Exercises can use demonstration datasets. Company data requires appropriate permissions and safeguards.
What is the proposed duration?
The proposed duration is 8 hours. The school will confirm scheduling, session structure, delivery arrangements and tool requirements according to the agreed course.
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Your next step
starts here.
Would you like information about AI courses or training opportunities for your business?
- Course programmes and content
- Participation options
- Training for businesses and teams
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Tell us what interests you and what you need.