AI in E-Commerce Masterclass

AI in E-Commerce Masterclass The two-day masterclass for shop decision-makers who want to turn individual AI tools into a dependable operations system — with a clear architecture, measurable relief and an AI operations plan for their own shop.

AI in E-Commerce Masterclass at a glance

• Format: 2 days on site + self-learning track
• Level: Advanced with an e-commerce focus
• Participants: Max. 16 people
• Language: German
• Certificate: AEI certificate of participation
• Investment: €1,090.00 plus VAT

AI has long stopped being a future topic in e-commerce. It sits in search, content, customer service, pricing, data analysis and operations. Yet in many shops it remains an experiment: individual tools, loose prompts, no clear architecture, no measurable relief in day-to-day work.

This masterclass turns AI dabbling into a dependable operations system. You will understand which AI technologies genuinely matter, how to integrate them into shop processes and how that produces faster decisions, better workflows and scalable working routines. In the end you have a clear AI operations plan for your shop.

Who is this seminar for?

For shop owners, founders, e-commerce teams and digital entrepreneurs who do not just want to try AI out but want to anchor it as a productive part of their working processes.

• You do not want to use AI as a collection of tools but as a real operating system for your shop.
• You have many operational tasks: content, product data, customer service, reports, campaigns and coordination.
• You lack a clear overview of which AI solutions are genuinely relevant for e-commerce.
• You want to speed up processes without losing quality, control or brand impact.
• You need a realistic AI roadmap that fits your team, budget and shop system.

Your learning objectives

After this seminar you can:

• analyse which AI application areas have the greatest leverage in your shop.
• assess which tools, agents and automations fit your e-commerce setup.
• develop an understanding of how AI relieves your content, service, marketing and operations processes.
• build an understanding of how prompts, workflows and data sources become repeatable working routines.
• decide which processes you automate, support or deliberately keep manual.
• implement how AI is integrated into daily work safely, under control and on brand.
• measure which effects AI has on time saved, quality, conversion and cost structure.
• steer how your team uses AI without sprawl, tool chaos or unclear responsibilities.

The 6 AI levers in e-commerce

• Tools — Understand AI technologies and assess them by benefit, risk and integrability.
• Content — Create product copy, landing pages, newsletters and social content faster and more consistently.
• Service — Structure and speed up customer enquiries, FAQs and support processes with AI.
• Data — Evaluate and operationalise reports, shop data and customer patterns in an understandable way.
• Automation — Map recurring tasks as workflows, agents or process chains.
• Governance — Define rules, roles and quality controls for dependable AI use.

Programme — 2 days

Day 1 – AI strategy, technology & use cases

09:30–10:45 — Placing AI in e-commerce

• What generative AI, agents and automations actually deliver
• The difference between a tool, a workflow, an agent and a system
• Typical e-commerce fields with high AI potential
• Assessing limits, risks and quality questions realistically

11:00–12:30 — AI use case mapping

• Making operational tasks in the shop visible
• Assessing pain points by time, error-proneness and revenue impact
• Clustering use cases for content, service, marketing and operations
• A priority matrix for fast and sensible implementation

13:30–15:00 — Prompting, data & shop context

• Building prompts as repeatable work instructions
• Including brand voice, product data and target group information
• Defining quality criteria for AI output
• Setting up a prompt library for recurring shop tasks

15:15–16:45 — AI content & commerce workflows

• Structuring product copy, category texts and landing page modules
• Developing campaign ideas and variants for performance marketing
• Preparing newsletter and CRM impulses with AI
• Setting approval processes for on-brand content

Day 2 – AI driven operations & implementation

09:30–10:45 — AI in customer service & back office

• Classifying support requests and preparing reply logic
• Improving FAQ and help centre structures with AI
• Relieving returns, delivery and payment questions operationally
• Controlling service quality despite automation

11:00–12:30 — Data analysis & decision support

• Presenting shop metrics with AI in an understandable way
• Deriving reports, hypotheses and recommended actions
• Reviewing campaign, range and conversion questions on a data basis
• Recognising the limits of AI analysis and of data quality

13:30–15:00 — Planning automations & agents

• Modelling recurring processes as automation chains
• Assessing tool stacks for small and growing shops
• Defining interfaces, triggers and handovers
• Filling in an AI agent canvas for a first operational process

15:15–16:45 — Implementation plan & governance

• Developing a 90-day roadmap for AI driven operations
• Setting roles, rules and responsibilities in the team
• Considering privacy, approvals and quality control
• Planning next steps with clear priorities and measurement points

Our approach

AEI separates hype from real impact. You do not work with random tool demos but translate AI into concrete shop processes, clear workflows and verifiable implementation steps.

The self-learning track prepares you with tool shortlists, prompt fundamentals and an AI readiness check for the live days.

• USE-CASE THINKING You identify AI levers by operational relevance, not by tool trend.
• WORKFLOW ARCHITECTURE You build repeatable routines from prompts, data, approvals and responsibilities.
• IMPLEMENTATION UNDER CONTROL You define measurement points, quality rules and responsibilities for day-to-day work.

What you take with you

• AEI AI readiness check for your shop and your team.
• AI use case matrix with prioritisation by effort, risk and impact.
• Prompt library for product copy, campaigns, service and reporting.
• AI workflow canvas for planning concrete process chains.
• Tool stack overview for content, service, data analysis and automation.
• Quality and approval checklist for AI-generated content.
• AI governance mini playbook with roles, rules and responsibilities.
• Personal 90-day roadmap for AI driven operations.
• Exclusive: AEI agent briefing template for your first e-commerce process.

Investment and dates

• Regular price: €1,090 plus VAT
• Early bird price: €870 plus VAT up to 21 days before the seminar starts
• Bundle offer: 15% discount in combination with „E-Commerce Operations“
• Format: 2 days on site + self-learning track
• Participants: Max. 16 people
• Language: German
• Location: Berlin, Munich, Cologne and Hamburg

Dates are added continuously. On request we will name the next available date and advise on on-site, live online or self-paced.