Training course · Claude Code · Logistics & Supply Chain
Claude Code for Logistics and Supply Chain Teams
Agentic coding with Claude Code in the terminal and IDE: CLAUDE.md, subagents, hooks, MCP, CI pipelines and secure permissions.
- 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 Claude Code with the everyday processes of Logistics & Supply Chain. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.
Claude Code is not only for professional developers. Business users with no programming background can use it to analyse data, clean up Excel and CSV files, generate reports or build small internal tools, all in plain language. You describe what should happen, and Claude Code writes and runs the necessary scripts itself. This course variant shows you how to put these capabilities to work in your daily job without needing to understand code, and how to check the results reliably before anyone relies on them.
You will work through realistic office scenarios: merging exports from several systems, producing analyses with charts, generating documents and mail merges automatically, or turning repetitive file chores into a single command. Working safely is a central theme: which data may be processed, how you stay in control of approvals, and when to involve your IT department. The result is a set of useful helpers that take load off your team while remaining transparent and easy to hand over.
Logistics and supply chain management are under constant pressure: volatile demand, disrupted supply chains, rising freight costs, staff shortages and growing demands for transparency and sustainability. Generative AI offers new tools for planning and communication. AI assistants analyse inventory and shipment data, explain forecast deviations, create work instructions for warehouse and shipping, answer customer status enquiries and help clarify customs and Incoterms questions. AI agents and automation process delivery notifications, freight documents and order confirmations, monitor delays and suggest actions. This frees up time for exception management and optimisation. The prerequisites are clean master data, access to ERP, WMS and TMS data and clear ownership of decisions.
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?
- Supply chain managers and planners
- Logistics and warehouse managers
- Transport dispatchers and freight forwarders
- Customs and foreign trade specialists
- Demand and inventory planners
Typical challenges we address
- Detecting and communicating delivery delays and disruptions early
- Balancing inventory between service levels and working capital
- Processing large volumes of freight documents and notifications manually
- Onboarding new warehouse and dispatch staff quickly
What you will be able to do
- You commission data analyses and file tasks from Claude Code in plain language.
- You clean and combine Excel and CSV data and check the results for plausibility.
- You automate recurring document and reporting tasks with reusable instructions.
- You have small internal helper tools built and refine them step by step.
- Use AI for inventory, forecast and disruption analysis in the supply chain.
- Automate document processing and status communication with clear review steps.
- Design AI-supported logistics processes that are secure, traceable and respect employee co-determination.
Course outline
Day 1
Module 1 Getting started without coding skills
- What a coding agent is and what it is allowed to do on your computer
- Launching Claude Code and setting up a protected working folder
- Describing tasks in everyday language: goal, input files, expected result
- Understanding approval prompts and consciously accepting or declining them
Module 2 Analysing data in Excel and CSV files
- Cleaning exports: duplicates, date formats, missing values
- Combining several tables and calculating key figures
- Producing charts and summaries as Excel files or images
- Sanity-checking results with spot checks and cross-calculations
Module 3 Automating documents and routine tasks
- Generating reports, minutes and mail merges from templates and data
- Renaming, sorting and converting files automatically
- Saving recurring procedures as reusable instructions
- Writing a simple team guide in CLAUDE.md
Module 4 Building small scripts and internal tools
- From idea to working helper: stating requirements clearly
- Having simple input forms or local web interfaces created
- Improving step by step: describing problems instead of debugging yourself
- Documenting results so colleagues can use them
Day 2
Module 5 Working safely and responsibly
- Handling personal and confidential data correctly
- Limiting permissions and working only in approved folders
- Recognising limits: when a tool should be handed over to IT
- Coordinating with IT, data protection and business owners
Module 6 Hands-on project: your own solution for Logistics & Supply Chain
- Delay monitor – A dashboard that imports shipment data from CSV, flags delays against delivery dates and lists affected customer orders by priority.
- ABC/XYZ analysis tool – A small app that imports item consumption, calculates an ABC/XYZ classification and suggests replenishment parameters such as reorder point and safety stock.
- Lightweight load planner – A calculator that distributes packages with dimensions and weights across pallets and loading space and visualises utilisation.
Module 7 Data protection, quality & transfer to daily work
- Logistics data contains personal information, for example about drivers and recipients, which must be processed in line with the GDPR; AI-based analysis of employee performance or location requires works council involvement in Germany. Customs and export control decisions remain governed by applicable trade regulations, and AI output must be checked by experts.
- 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
Managing disruptions and delays
Automations compare shipment status with planned dates; AI summarises critical delays, assesses affected orders and drafts customer notifications and options for action.
Freight document processing
AI reads delivery notes, consignment notes, packing lists and customs documents, checks them for completeness and consistency with the order and passes structured data to the ERP or WMS.
Inventory and forecast analysis
Exports from planning and ERP systems are analysed, slow movers and stock-out risks identified and forecast deviations explained clearly as input for S&OP meetings.
Work instructions and training
Process descriptions become clear, multilingual work instructions for goods receipt, picking and shipping, including checklists and quiz questions for onboarding.
Customs and trade questions
An AI assistant explains Incoterms, rules of origin or tariff classification as a starting point for research and prepares questions for customs experts, who verify results against official sources.
Shipment status enquiries
An assistant answers status enquiries based on tracking data, explains delays transparently and routes complaints with complete information to the responsible team.
Possible hands-on projects
Delay monitor
A dashboard that imports shipment data from CSV, flags delays against delivery dates and lists affected customer orders by priority.
ABC/XYZ analysis tool
A small app that imports item consumption, calculates an ABC/XYZ classification and suggests replenishment parameters such as reorder point and safety stock.
Lightweight load planner
A calculator that distributes packages with dimensions and weights across pallets and loading space and visualises utilisation.
Prerequisites
No programming knowledge is needed; confident use of Excel, files and folders on your own computer is sufficient. You work in logistics, supply chain management or dispatch and know the processes and systems in your area.
Technical requirements
Your own laptop with admin rights, Git, a Node.js runtime and an up-to-date editor; a Claude subscription or Anthropic API access is required for the exercises.
Data protection & compliance
Logistics data contains personal information, for example about drivers and recipients, which must be processed in line with the GDPR; AI-based analysis of employee performance or location requires works council involvement in Germany. Customs and export control decisions remain governed by applicable trade regulations, and AI output must be checked by experts.
Suggested dates
All dates are suggestions – your preferred date is always possible.
- Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
- Thu, 3 December 2026 – Fri, 4 December 2026 Augsburg Request
- Thu, 17 December 2026 – Fri, 18 December 2026 Online Request
- Thu, 21 January 2027 – Fri, 22 January 2027 Kaiserslautern Request
- Thu, 4 February 2027 – Fri, 5 February 2027 Online Request
- Wed, 10 February 2027 – Thu, 11 February 2027 Bremen Request
Frequently asked questions
How is Claude Code different from traditional code completion?
Code completion suggests the next few lines, whereas Claude Code acts as an agent that handles whole tasks: it searches the repository, plans changes across several files, runs tests and commands, and corrects itself based on the results. You define the goal and review the outcome instead of steering every single line yourself.
Is Claude Code secure enough for enterprise use?
By default, Claude Code asks for approval before editing files or running commands. Permission rules, sandboxing, managed settings and hooks let you define precisely what the agent may do. During the course you learn to configure these mechanisms to match your security and data protection requirements and to assess risks such as prompt injection.
Does Claude Code work with my language and tech stack?
Yes. Claude Code is language-agnostic because it works with files, terminal commands and your existing build and test tooling. Whether you use Python, Java, TypeScript, Go, SAP-related code or infrastructure as code, what matters most is a well-written CLAUDE.md describing your commands and conventions. Each course variant adds the relevant domain focus.
Will generative AI replace our planning software?
No. Specialised planning, warehouse management and transport systems remain the backbone. Generative AI complements them with analysis, explanation, communication and document processing. In the course we show how to analyse exports from these systems with AI and automate recurring workflows.
Is AI reliable for customs questions?
AI is a good starting point for research and structure, but it can be wrong about tariff codes, preference rules or sanctions lists. Binding decisions require official sources and expertise, such as binding tariff information. We practise checking AI output systematically against official sources.
How much does “Claude Code for Logistics and Supply Chain Teams” 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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- Make for Logistics and Supply Chain Teams
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- EU AI Act & AI Compliance for Logistics and Supply Chain Teams
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