Training course · ChatGPT · Procurement

ChatGPT for Procurement Teams

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

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

“ChatGPT for Procurement Teams” is designed for roles such as Strategic buyers and category managers, Operational buyers and material planners and Heads of procurement and CPOs and shows step by step how to use ChatGPT productively, safely and transparently in Procurement – from the fundamentals to advanced workflows.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

Procurement has evolved from order processing into a strategic value driver: cutting costs, securing supply, managing supply chain risk and meeting sustainability requirements. Generative AI supports buyers in every phase of the source-to-pay process. AI assistants draft specifications and tender documents, compare bids, summarise supplier contracts and prepare negotiations with arguments and scenarios. AI agents and automation research potential suppliers, analyse spend data, monitor risk signals such as insolvency or delivery delays and process order confirmations. This gives procurement more time for supplier development and strategic category management. Reliable master data, clear approval rules and careful handling of confidential terms and supplier information remain essential.

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?

  • Strategic buyers and category managers
  • Operational buyers and material planners
  • Heads of procurement and CPOs
  • Supplier managers and supplier quality engineers
  • Public sector procurement staff

Typical challenges we address

  • Comparing bids with different structures quickly and fairly
  • Keeping track of supplier risks and supply chain due diligence obligations
  • Drafting precise tender documents and specifications
  • Making spend data from different systems usable for analysis

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Use AI for tenders, bid comparisons and negotiation preparation.
  • Analyse spend and supplier risks with AI support in a data-driven way.
  • Take confidentiality, public procurement law and supply chain due diligence into account when using AI.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: Procurement
  • Drafting specifications
  • Bid comparison
  • Negotiation preparation
  • Supplier research
  • Spend analysis
  • Supplier risk monitoring
Module 7 Data protection, quality & transfer to daily work
  • Bids, terms and supplier contracts are trade secrets and may only be processed in approved AI environments; contact details are subject to the GDPR. Public contracting authorities must also comply with procurement law and equal treatment, and companies may be subject to supply chain due diligence legislation.
  • 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

Drafting specifications

An AI assistant turns requests from business units into structured requirement specifications and statements of work, closes gaps by asking follow-up questions and keeps wording product-neutral.

Bid comparison

AI extracts prices, lead times, payment terms and deviations from the request from differently structured bids and builds a comparison matrix as the basis for the award decision.

Negotiation preparation

Market information, price trends and supplier history are turned into negotiation strategies with targets, concessions and arguments, plus role plays to prepare for difficult conversations.

Supplier research

AI supports the search for alternative sources, summarises publicly available information on potential suppliers and creates questionnaires for supplier qualification.

Spend analysis

Spend data from ERP exports is classified with AI support, mapped to categories, consolidation opportunities identified and results presented clearly for management.

Supplier risk monitoring

Automations monitor news and public sources on key suppliers; AI assesses signals of insolvency, sanctions or human rights risks and alerts the responsible people early.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. You work in procurement or purchasing and know your organisation's sourcing processes.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

Data protection & compliance

Bids, terms and supplier contracts are trade secrets and may only be processed in approved AI environments; contact details are subject to the GDPR. Public contracting authorities must also comply with procurement law and equal treatment, and companies may be subject to supply chain due diligence legislation.

Suggested dates

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

  • Tue, 24 November 2026 Online Request
  • Thu, 3 December 2026 Kaiserslautern Request
  • Wed, 9 December 2026 Online Request
  • Tue, 15 December 2026 Bremen Request
  • Mon, 11 January 2027 Online Request
  • Tue, 26 January 2027 Salzburg Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

May AI decide on contract awards?

AI can structure and compare bids and highlight anomalies. The award decision is made by procurement according to defined criteria. In the public sector, the decision must also be documented and traceable under procurement law. We show how to integrate AI support transparently into your award process.

How do we protect confidential supplier terms?

Use only approved enterprise environments where inputs are not used for training and data processing is contractually governed. Terms offered by other bidders must never find their way into communication with suppliers. In the course we discuss practical rules for handling sensitive procurement data.

How much does “ChatGPT for Procurement Teams” 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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