AI-Powered Inventory Optimization & Replenishment
Cut inventory while maintaining service levels – with machine learning that works today
Audience
Inventory planners, heads of materials management, supply chain managers, heads of purchasing and logistics in manufacturing and wholesale companies. No programming skills required.
Starting point
In most ERP systems, reorder points and safety stocks are configured once – and then left untouched for years. The result: 20–40% of working capital is needlessly tied up in inventory, while stockouts cost revenue at the same time. Machine learning can improve both at once – if you know how.
Contents
- Why traditional replenishment methods (reorder point, min/max) systematically produce excess inventory
- How AI demand forecasts work: expected value, uncertainty and probability distributions explained in plain terms
- Why safety stock holds the biggest optimization potential – and how to capture it
- Building the business case for your own company: capital tied up, cost of capital, availability
- Hands-on session: your own (or sample) sales data in an AI forecasting tool – the complete workflow from CSV file to optimized order recommendation
- Putting it into practice: how AI parameters flow back into your existing ERP (SAP & co.) – without a major IT project
- Limits and pitfalls: what AI cannot do, what data quality is required, why projects fail
Your takeaway
After the seminar you can assess the optimization potential of your own warehouse, know the prerequisites in your company, and have walked the complete path from data to order decision yourself.
In-house option
On request, the hands-on session works directly with anonymized data from your company – turning the seminar into a first potential analysis.
Your trainer
Dr. Jan Fränkle
20+ years of machine learning and AI, founder of ITM-predictive, lecturer and consultant. Teaches complex methods in a way that lets you apply them the very next day.
Interested in this seminar?
Dates, pricing and in-house variants are best discussed directly – book a short call or send us an email.
All seminarsRequest a training
Briefly describe what you have in mind – we will get back to you within one business day with a proposal.