Training course · Vibe Coding · Retail & E-Commerce

Vibe Coding for Retail

Build software in natural language: from prompt to app, rapid iteration, quality and security checks, and turning prototypes into production.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Vibe Coding with the everyday processes of Retail & E-Commerce. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Vibe coding lets business users without any programming knowledge build digital tools of their own. You describe in everyday language what a mini app, dashboard or form should do, and tools such as Lovable, Claude, ChatGPT Canvas or Replit generate a working solution. Helpers for your daily work can take shape quickly, without waiting for IT to free up capacity. This course shows you step by step how to make it work, which habits lead to good results, and what really matters along the way.

During the course you build applications drawn from your own work: a KPI overview, a data entry form, a small calculator or an automation for recurring chores. At the same time you learn to assess the risks realistically. Which data may go into such tools, who will run and maintain the solution, and when must IT be involved? With this knowledge you can create useful solutions that are accepted within the organisation and remain secure and sustainable in the long term.

Whether bricks-and-mortar stores, online shops, wholesale or omnichannel, retail works with large ranges, thin margins and high customer expectations. Generative AI helps wherever there is lots of text, lots of data and lots of customer contact. It writes product descriptions and category pages, maintains product master data, answers customer service enquiries, analyses reviews and return reasons and supports promotion planning and campaigns. AI agents can check order status, pre-sort complaints or bundle supplier requests. For buying and category management, AI becomes a tool for commenting on sales data and preparing range decisions. The key is balancing efficiency, brand voice and legally accurate product information.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • E-commerce and online shop teams
  • Buying and category management
  • Store and area managers
  • Customer service and returns management
  • Retail marketing and CRM

Typical challenges we address

  • Large ranges requiring heavy effort for product copy and master data
  • High volumes of customer enquiries, complaints and returns
  • Seasonal peaks and short-notice promotions
  • Data from tills, web shop and merchandise systems that is hard to combine

What you will be able to do

  • You build your own mini apps, dashboards and forms through vibe coding without programming skills.
  • You describe requirements clearly enough for AI tools to produce usable solutions.
  • You improve your applications step by step and check the results for accuracy.
  • You automate simple recurring tasks in your working environment.
  • Produce product copy and campaign content at scale with AI in a consistent brand voice.
  • Analyse customer feedback, returns and sales data with AI in a structured way.
  • Identify service cases and processes that can be automated with AI agents.

Course outline

Day 1

Module 1 Understanding vibe coding as a business user
  • What vibe coding is and what you can achieve without programming skills
  • Tools at a glance: Lovable, Claude, ChatGPT Canvas, Replit and similar platforms
  • Spotting good candidates for your own tools at work
  • Realistic expectations: strengths, limits and common pitfalls
Module 2 Describing and building your own mini app
  • Capturing goal, users, inputs and desired outcome in plain words
  • Generating a first version and clicking through it together
  • Improving look, wording and flow with targeted feedback
  • Saving milestones and returning to an earlier version when things go wrong
Module 3 Dashboards, forms and calculators
  • Turning Excel or CSV data into an interactive dashboard
  • Building entry forms with required fields and plausibility checks
  • Creating calculators and decision aids for your team
  • Checking results for accuracy with test data and spot checks
Module 4 Automating routine work
  • Identifying recurring tasks that lend themselves to automation
  • Building simple automations for reports, notifications or file storage
  • Discussing connections to existing tools via approved interfaces
  • Documenting automations clearly and handing them over to colleagues

Day 2

Module 5 Risks and coordination with IT
  • Which data may and may not go into AI tools: data protection and confidentiality
  • Managing access rights, sharing settings and public links deliberately
  • Avoiding shadow IT: clarifying operation, maintenance and ownership
  • Preparing a handover to IT when a solution grows or becomes critical
Module 6 Hands-on project: your own solution for Retail & E-Commerce
  • Product copy generator – A small app that reads a product CSV and generates a title, description and bullet points for each row in the defined brand voice.
  • Returns analyser – An internal tool that imports returns data, groups reasons by product and supplier and highlights items with unusually high return rates.
  • Store task list – A mobile web app through which head office assigns tasks such as promotional set-ups or price changes to stores and tracks completion.
Module 7 Data protection, quality & transfer to daily work
  • Customer data from web shop, CRM and loyalty programmes is subject to the GDPR, and marketing activities to consent and unfair competition rules. Product information, price displays and advertising claims must comply with consumer protection law, and customer-facing AI chatbots must be disclosed as such under the EU AI Act.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Product copy at scale

Manufacturer data and attributes become consistent, search-optimised product descriptions, bullet points and category pages in several languages, with mandatory details carried over accurately. Spot checks happen before publishing.

Cleaning master data

AI helps standardise product data, detect missing attributes, normalise colours and sizes and assign products to the correct categories – with spot checks by the team.

Supporting customer service

Enquiries about delivery status, exchanges, warranty or product details are classified and given draft replies; AI agents can handle standard cases directly. Complex cases are handed to staff with a summary.

Analysing reviews and returns

Customer reviews and return reasons are grouped by themes such as fit, quality or inaccurate descriptions in order to improve copy, range and suppliers in a targeted way.

Promotions and campaigns

Promotion plans, newsletters, social posts and copy for leaflets or displays are created for each target group and aligned with seasonal occasions. Results of past promotions inform the planning.

Commenting on sales data

For buying and category management, AI summarises sales data, explains variances against last year and plan and prepares arguments for supplier negotiations. Figures come from the merchandise system.

Possible hands-on projects

Product copy generator

A small app that reads a product CSV and generates a title, description and bullet points for each row in the defined brand voice.

Returns analyser

An internal tool that imports returns data, groups reasons by product and supplier and highlights items with unusually high return rates.

Store task list

A mobile web app through which head office assigns tasks such as promotional set-ups or price changes to stores and tracks completion.

Prerequisites

No programming knowledge is required; confident use of a browser, office applications and spreadsheets is enough. Professional experience in store-based or online retail; no technical background required.

Technical requirements

Your own laptop with an up-to-date browser, Git and an AI coding tool of your choice, such as an AI editor or coding agent with an active account.

Data protection & compliance

Customer data from web shop, CRM and loyalty programmes is subject to the GDPR, and marketing activities to consent and unfair competition rules. Product information, price displays and advertising claims must comply with consumer protection law, and customer-facing AI chatbots must be disclosed as such under the EU AI Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
  • Tue, 1 December 2026 – Wed, 2 December 2026 Munich Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Online Request
  • Wed, 16 December 2026 – Thu, 17 December 2026 Stuttgart Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Berlin Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Online Request

Frequently asked questions

Is vibe coding only suitable for quick prototypes?

Vibe coding shines with prototypes, internal tools and experiments. With the right practices, namely clear specifications, tests, reviews and sound version control, results can also be turned into production-ready applications. The course teaches you to manage that transition deliberately and to recognise early on when rebuilding is the wiser option.

Which tools are used in the course?

The course is vendor-neutral. We work with the main tool categories: AI editors such as Cursor or Windsurf, coding agents such as Claude Code or Codex, and browser-based app builders. You are welcome to use your preferred tool, as the principles of specification, iteration, quality and security apply to all of them.

How should I deal with security risks in generated code?

Generated code often contains typical weaknesses such as hard-coded credentials, missing input validation or overly open interfaces. You learn to check specifically for these patterns, build security requirements into the specification from the start, use automated scanning and require a deliberate human sign-off before every deployment.

How do I make sure AI product copy is accurate?

Feed the AI only verified product data, specify which details must not be changed and run systematic spot checks. Dimensions, materials, mandatory labelling and advertising claims are critical. In the course you develop a workflow with templates and review steps for producing copy at scale.

Is AI worthwhile for smaller retailers too?

Smaller teams in particular benefit, because AI takes on tasks there is otherwise no capacity for – such as product copy, newsletters or customer replies. Many features can be used without major investment. The course shows pragmatic starting points that work without an IT department.

How much does “Vibe Coding for Retail” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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