Technologies / Artificial Intelligence

Demand forecasting and supply chain optimization

Specialized training in the application of AI predictive models for more accurate demand forecasting, inventory optimization and logistics automation. The program focuses on the practical implementation of advanced forecasting techniques and supply chain optimization algorithms. The workshop includes real-world case studies from various industries and complex supply chain scenarios. Data-driven methodology provides hands-on experience with advanced analytical tools.

Issues

Demand forecasting
Machine learning
Time series analysis
Inventory optimization
Supply chain analytics
Network optimization
Automatic replenishment
Predictive maintenance
Risk management
KPI monitoring
Real-time analytics
Operational research

Benefits

A 30-40% improvement in demand forecast accuracy will be achieved by using advanced ML algorithms
A 20% reduction in inventory costs will be achieved through optimized management of warehouse levels
Optimization of supply chain networks will increase efficiency and reduce total cost of ownership
Automation of decision-making processes will reduce response time and human error
Real-time visibility of the entire supply chain will enable proactive problem solving
Integration of external data sources will improve the accuracy and responsiveness of forecasting
Standardization of optimization processes will ensure scalable and repeatable approaches

Who is this training for?

Supply chain consultants

Supply chain managers

Operations analysts

Demand planners

Logistics specialists

Purchasing managers

Operational consultants

Inventory optimization specialists

Prerequisites

Experience in supply chain management or operations management
Knowledge of basic inventory management and logistics concepts
Ability to analyze operational data and interpret KPIs
Basic knowledge of forecasting methods and statistical analysis

Training program

Time series analysis and forecasting models
Machine learning for demand prediction
Integration of external factors (weather, events, trends)
Multi-level forecasting (SKU, category, geography)

Safety stock optimization
Automation of ABC/XYZ analysis
Dynamic pricing and inventory interactions
Seasonal inventory planning

Supplier selection and risk assessment
Distribution network design
Transport optimization
Storage location planning

Automatic refilling systems
Real-time inventory tracking
Exception management
Indicator monitoring and alerts

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Demand forecasting and supply chain optimization we recommend: Experience in supply chain management or operations management; Knowledge of basic inventory management and logistics concepts; Ability to analyze operational data and interpret KPIs.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Supply chain consultants; Supply chain managers; Operations analysts.