Video: Demand Planning Optimisation with Machine Learning & AI

GRA Partner Carter McNabb discusses Machine Learning (ML) and Artificial Intelligence (AI), and the significant opportunities for supply chains – specifically in relation to demand planning and inventory optimisation as well as sales, inventory and operations planning (SIOP).

In this presentation to the ASCI audience in Melbourne, Carter looks at what’s real and what’s hype in ML and AI in 2019. He reveals what systems and toolsets are utilising these cutting edge capabilities to help improve demand planning outcomes.

Following Carter's presenation is a demonstration of the GAINS advanced planning system by GRA Partner Luke Tomkin and GRA Manager Nathan Singhavong. The demonstration takes the audience through the three essential modules of the system: Demand Planning, Inventory Optimisation and Replenishment Planning and how ML and AI are being applied to great effect in these areas.

GAINS was recently rated as the leading Supply Chain Planning (SCP) toolset in Gartner Research’s 2018 Magic Quadrant report. For more information visit

If you would like to view just the GAINS demonstration watch it here:

If you would like to view just Carter’s presentation, watch it here:

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I have found it a great pleasure to work with the GRA team. Their responsiveness is a real game changer as it allows us to quickly fix issues as they arise. Also, their mindset is really driven towards improvement and finding solution during our regular meetings.

– Didier Vaillant, Supply Planning Manager, 7-Eleven

Typical results

  • 20-40% inventory investment reduction
  • increased service levels ranging up to 99.9%
  • 10%-15% reduction in supply chain operating costs
  • 5%-20% spend management savings
  • the ability to fund business initiatives from operating cash flow (OCF) improvements
  • improved return on capital employed (ROCE)
  • a minimum 3:1 ROI (10:1 to 30:1 typical)