| Date | Venue | Duration | |
|---|---|---|---|
| 23 - 27 November 2026 | Sandton, Gauteng | 5 Days | |
| 08 - 12 February 2027 | Sandton, Gauteng | 5 Days | |
| 05 - 09 April 2027 | Sandton, Gauteng | 5 Days | |
| 17 - 21 May 2027 | Sandton, Gauteng | 5 Days | |
| 28 June - 02 July 2027 | Sandton, Gauteng | 5 Days | |
| 16 - 20 August 2027 | Sandton, Gauteng | 5 Days | |
| 27 September - 01 October 2027 | Sandton, Gauteng | 5 Days | |
| 15 - 19 November 2027 | Sandton, Gauteng | 5 Days |
Please note: This is not a final registration, one of our team members will contact you shortly to finalise your registration.
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Effective demand planning and stock control are critical components of Supply Chain Management (SCM), enabling organisations to enhance forecast accuracy, maintain optimal inventory levels, and boost profitability by minimising expenses. Proper execution of these processes eliminates the risks of stock shortages and surplus inventory, streamlining operations. Demand planners, often working behind the scenes, face complex challenges due to the dynamic and uncertain nature of their role. However, when performed successfully, these efforts unlock significant opportunities for organisations to optimise their supply chains.
This 5-day course delves into key demand planning theories, models, and best practices, equipping participants with the tools to manage diverse scenarios and ensure a steady flow of inventory at the lowest possible cost — including how AI is now used for reorder point automation and predictive demand forecasting.
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
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Master statistical forecasting, demand alignment, safety stock optimization, and inventory cycle management to balance supply with demand, reduce excess holding costs, and enhance fulfillment reliability.
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