Training course · Google Gemini · Retail & E-Commerce

Google Gemini for Retail

Make productive use of Google Gemini and Gemini in Workspace: Docs, Sheets, Gmail, Meet, custom Gems and NotebookLM for your sources.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Google Gemini for Retail” is designed for roles such as E-commerce and online shop teams, Buying and category management and Store and area managers and shows step by step how to use Google Gemini productively, safely and transparently in Retail & E-Commerce – from the fundamentals to advanced workflows.

For organisations running on Google Workspace, Gemini is the natural AI assistant: it is available as a standalone app and is also built directly into Gmail, Docs, Sheets, Slides, Drive and Meet. In this practical day you learn to combine both access points deliberately. You summarise email threads and draft replies, create document drafts based on existing files in Drive, structure and analyse spreadsheets in Sheets and have Meet take meeting notes automatically – always with a focus on your own day-to-day workflows.

You also build your own Gems: specialised assistants with fixed instructions and knowledge files that standardise recurring tasks across the team. With Deep Research you produce well-founded research reports, and you use NotebookLM as a source-grounded workspace that answers only from your own documents and cites the relevant passages. A dedicated module covers data protection and administration in Workspace environments. You leave with tested prompts, a working Gem and a clear picture of which Google tool suits which task.

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 use Gemini in Gmail, Docs, Sheets, Slides and Meet for your recurring tasks.
  • You write prompts that bring existing Drive files and emails into the context.
  • You build a custom Gem and share it with your team.
  • You work source-grounded in NotebookLM and obtain referenced answers from your own documents.
  • 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

Module 1 Gemini fundamentals and effective prompts
  • The Gemini app and Gemini in Workspace: access points and use cases
  • Prompts with task, context, format and references to Drive files
  • Web search, Deep Research and checking sources
  • Limitations, hallucinations and critical evaluation of output
Module 2 Gmail, Docs and Slides
  • Summarising email threads and drafting context-aware replies
  • Drafting, rewriting and tailoring documents in Docs
  • Pulling in and combining content from Drive files
  • Creating presentation content and images in Slides
Module 3 Sheets and Meet
  • Structuring tables, generating formulas and cleaning data
  • Analyses, summaries and charts in Sheets
  • Letting Meet take meeting notes automatically
  • Deriving action items and decisions from meeting notes
Module 4 Gems and NotebookLM
  • Creating custom Gems with instructions and knowledge files
  • Testing, improving and sharing Gems with the team
  • NotebookLM as a source-grounded workspace for your own documents
  • Generating summaries, study aids and audio overviews from sources
Module 5 Data protection, administration and rollout
  • Privacy commitments for Workspace customers versus personal accounts
  • Drive sharing settings and how they affect Gemini results
  • Handling personal and confidential data in line with GDPR
  • Usage policies and quality assurance within the team
Module 6 Practice lab: Retail & E-Commerce
  • Product copy at scale
  • Cleaning master data
  • Supporting customer service
  • Analysing reviews and returns
  • Promotions and campaigns
  • Commenting on sales data
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.

Prerequisites

Confident everyday use of Google Workspace (Gmail, Drive, Docs, Sheets); no prior AI knowledge is required. Professional experience in store-based or online retail; no technical background required.

Technical requirements

A laptop with an up-to-date browser and a Google Workspace account with Gemini features enabled; alternatively a Google account for the Gemini app and NotebookLM.

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.

  • Fri, 27 November 2026 Online Request
  • Mon, 7 December 2026 Stuttgart Request
  • Thu, 7 January 2027 Hanover Request
  • Tue, 19 January 2027 Online Request
  • Tue, 2 February 2027 Berlin Request
  • Fri, 12 February 2027 Online Request

Frequently asked questions

What is the difference between the Gemini app and Gemini in Workspace?

The Gemini app is a standalone chat assistant for research, writing and analysis. Gemini in Workspace works directly inside Gmail, Docs, Sheets, Slides and Meet and can draw on your emails and Drive files. In practice they complement each other: the app for open questions, the integrated version for work on specific documents.

Why would I use NotebookLM in addition to Gemini?

NotebookLM restricts its answers to the sources you upload – policies, studies or project files, for example – and points to the relevant passages. This reduces hallucinations and works well for getting up to speed on a topic, building internal knowledge collections or preparing training material. Gemini is broader in scope and can also draw on the web.

Is my Workspace data used to train Gemini?

For Google Workspace customers, Google commits that content from Gmail, Drive and other services is not used to train models outside your domain without permission. Different rules apply to personal accounts. Either way, GDPR and your internal policies remain decisive – in the course we review the relevant settings together.

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 “Google Gemini for Retail” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 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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