GAINS - Demand Planning, Inventory & Supply Chain Optimisation, with Machine Learning, Neural Networks, AI

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Reproduction of GRA whitepapers and articles

GRA permit the reproduction of GRA authored whitepapers and articles so long as all the following conditions are understood and met:

  • Entire credit details must be included:
    • Author's name(s)
    • GRA name and contact details
    • GRA URL link to the original article
  • All hyperlinks within the article must also be retained
  • Articles must not be resold
  • GRA retain full copyright.

If you have any queries about reproducing a GRA article or whitepaper, please contact GRA Marketing

Testimonials

“GRA worked closely with our team to design, develop and deliver an end to end supply chain transformation. This involved implementing a demand-led supply chain that today drives a disciplined, integrated and effective S&OP process. Culturally, our organisation with help from GRA has significantly increased its awareness and appreciation for supply chain decision-making. The above has allowed us to improve our service levels & customer experience albeit whilst reducing inventory and supply chain operating expense.”

– Zel Medak , Regional Business Director (ANZ), Allnex

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)