About GRA About GRA

GRA History

GRA was formed in 1997.

From the beginning, we specialised in supply chain strategy, planning and execution, with a strong focus on delivering sustainable results. Our clients experienced real results in short time frames, and our business grew quickly through referrals. With meticulous recruitment practices and careful development, our team of supply chain and logistics experts has expanded to thirty-five professionals who work across Australia and Asia. Over the years, we have worked with organisations across a broad range of industries at both strategic and operational levels. We continue to pride ourselves on achieving outstanding results for our clients, and as a consequence, are now positioned as Australia's premier specialist supply chain consultancy.

GAINS History

GAINS is a 'best-of-breed' demand, inventory and supply chain planning and optimisation system. For the last 35 years GAINS has worked with over 500 companies across a range of industries managing in excess of $75 billion worth of inventory across 50 million items. GAINS has delivered inventory reductions in excess of $30 billion whilst increasing and sustaining service level performance.

With its origin as an operations research consulting tool in the early 1970s, GAINS has had over three decades of focused effort invested in its development. Development input has come from recognised international and domestic experts in fields such as academia, operations research, advanced mathematics and industry best practice. Importantly, the effectiveness of GAINS has been rigorously time-tested and proven over the years. The amount of specialist, proven knowledge that GAINS embodies is unparalleled in the industry. The benefit to our clients is a sophisticated, easy-to-use tool that consistently and rapidly delivers benefit.

Today GAINS is the most powerful and sophisticated advanced planning inventory software on the market. It is a time-tested solution with the proven ability to rapidly deliver results and create additional value within the supply chain.

Find out more about inventory management with GAINS.

ORion-PI® History

Orion-PIis is a powerful and proven supply chain network optimisation toolset that:

    • determines the optimal supply chain network structure and operating policies from a cost, profit and/or service perspective
    • assesses the opportunities, risks, feasibility and implications of different supply chain strategies
    • simulates new supply chain models
    • audits and benchmarks supply chain performance
    • determines the optimal approach for responding to changes such as increased growth, acquisition of new business, divestiture of a division etc

    Using ORion-PI, we can conduct fact-based analyses to support supply chain decision-making enabling our clients to act with confidence and deliver superior cost, service and efficiency improvements.
    ORion-PI is developed by Axxom, a market leading international provider of software solutions developed for the optimisation of value-add processes. The company offers solutions for the design, simulation, planning and optimisation of all business processes and systems in all fields of supply chain and logistics. Axxom has experience spanning 25 countries, and they participate in international research projects. Axxom also work closely with international universities, supporting the continuous exchange between science and industry.

    GRA has had the exclusive Australian and New Zealand rights to consult with, distribute and implement Axxom's ORion-PI product suite since 2008.

    Find out more about supply chain network optimisation with ORion-PI.

 

Typical Benefits
  • increased service levels up to 99.9%
  • 20-40% inventory reduction
  • the ability to fund business initiatives from operating cash flow (OCF) improvements
  • improved return on capital employed (ROCE)
  • improved debt to equity ratios
  • 10-15% reduction in supply chain costs & improved operating efficiencies
  • a minimum 3:1 ROI for work undertaken (10:1 to 30:1 typical)