CODE: PS18
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
Predictive Analytics and Inventory Management Systems is a focused course that examines how predictive analytics uses historical data, machine learning models, and statistical techniques to anticipate market trends, customer demand, and supply chain disruptions. The course has been designed to equip supply chain and inventory professionals with advanced analytical skills to forecast demand accurately and optimize inventory levels efficiently. Participants will explore inventory management best practices supported by data-driven insights, enabling them to reduce stockouts, minimize carrying costs, and improve overall supply chain responsiveness and profitability.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the principles and techniques of predictive analytics in inventory management.
Use data-driven models to forecast demand and identify inventory needs accurately.
Optimize inventory levels to balance service levels and cost efficiency.
Implement advanced inventory management systems integrated with predictive analytics tools.
Analyze inventory performance using key metrics and data visualization techniques.
Address common challenges in inventory forecasting and control.
Communicate predictive analytics insights effectively to stakeholders for informed decision-making.
At the end of this course, you’ll understand:
This course is ideal for inventory managers, supply chain analysts, demand planners, logistics coordinators, procurement professionals, and data analysts who aim to enhance inventory control through predictive analytics. It also benefits business managers and IT professionals involved in designing, implementing, or improving inventory management systems within organizations.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
1 month ago
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