Inventory Optimization Course

Excellence in Inventory Planning

Improving service levels and product availability while minimizing costs

6 online sessions | Tuesdays, 09:00 am EST | First session: March 25th

About the Course

Optimizing the Planning Process

Finding the balance between inventory levels and customer service levels is a complex process. Excess inventory leads to high costs, while low service levels result in financial losses.

Effective inventory management, while maintaining maximum efficiency, optimizes the work of planners, reduces losses, and contributes to increased profitability.

Course Agenda

In this course, we will learn advanced techniques for effective inventory management and the application of key inventory planning principles.

We will also cover how to transform data into actionable insights and effective inventory policies. Finally, we will explore the most effective inventory management KPIs and data-driven cost reduction strategies.

Comprehensive Training

Intelichain’s unique training program, with participation from leading companies, offers a range of learning opportunities. These include online courses on various topics and customized programs designed to meet specific company needs.

Let’s learn together what your future looks like.

Our Instructors

Roei Aviram

CEO & Founder, Intelichain

Supply chain industry leader, recognized as a subject matter expert in inventory & demand forecasting and management, manufacturing planning and S&OP. Acknowledged as the top 5 global influencers in supply chain planning. Former senior management experience at leading consulting firms and global companies.

Holds a B.Sc. in Industrial Engineering and Management and a Master’s in Supply Chain Management, and teaches academic courses in the field.

Dr. Gabriel (Gaby) Pinto

Chief Scientist & Head of Algorithms, Intelichain

Leading researcher in inventory & demand planning algorithms, S&OP, Operation excellence & manufacturing planning and scheduling and the study of complex production planning algorithms. Former Head of the Industrial Engineering and Management Department at Azrieli Academic College of Engineering in Jerusalem.

Holds a B.Sc. in Industrial Engineering and Management, a Master of Business Administration (MBA) and a Ph.D. in Industrial Engineering and Management.

Key Takeaways

Intro & Basics

What is inventory, and what are the different types of inventory?
What questions does inventory management answer?
What are the costs involved in holding inventory?
What is the role of inventory in the supply chain?
What is the relationship between demand forecasting, inventory levels, and service level?

Inventory Management Metrics

Five effective inventory management metrics: inventory availability, turnover, service levels, forecast accuracy, and holding costs.
Identifying opportunities for cost reduction.
Tools and techniques for metric tracking.
Analysis methods for process improvement.

Classification and Segmentation

Analyzing types of inventory using one-dimensional classification.
Holistic inventory segmentation via combined classifications.
Adapting inventory policies based on segmentations.
Leveraging classification insights for strategic inventory decisions
Multi-echelon warehouse networks optimization

From Raw Data to Dollars

Data-driven analytical tools for inventory optimization and control
Forecast analysis models for improved planning.
Tools for identifying and analyzing data patterns and trends.
Transforming data insights into effective inventory policies.
Practical examples of analytics driving inventory improvements.
Case study analysis of inventory management successes and failures

Safety Stock Management Models

Applying quantitative models for optimal safety stock in constrained and volatile environments.
Implementing inventory risk management strategies.
Managing safety stock during emergencies and uncertainty.
Using statistical models for safety stock calculation.
Leveraging advanced algorithms for safety stock planning.