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Metals & Mining

A scenario-based planning solution that uses AI to root out supply chain inefficiencies

Key facts

50+scenarios assessed to maximise margin
Next Steps
Book a call
Email sales

Top business benefits

Increase cost efficiency

Time saved on manual planning

Optimised stock rates

Streamlined logistical processes

Reduced risk of human error

In more detail

Full description

Finding the most effective and cost-efficient route for inputs such as ore, coal and end products to customers requires overcoming a variety of challenges and bottlenecks, especially in industries such as mining where there are many moving parts and factors which are subject to statistically significant change. With seasonal, geographical and pricing issues holding sway – not to mention production and logistical challenges – having a solution that gets the right product to the right place at the right time, and maximises return on investment, is key.

This dynamic and scalable automated solution uses AI and scenario-based planning to identify and eliminate bottlenecks in the supply chain by optimising logistics and creating smoother processes to reduce planning time, increase cost efficiency, and break down barriers to ensure greater overall transparency.

The challenge

Finding an efficient route to market, especially when that market is volatile, can be costly, and people tend to make planning decisions within operational silos which can be inefficient against a backdrop of pressure to be agile and responsive.

This often results in missed deadlines, hidden costs due to delays, and plans that involve significant time and labour but quickly become outdated.

Companies are constantly at risk of severe inefficiencies throughout their supply chain. You may recognise the challenges of:

  • Data overload

  • Reliance on other parties who operate in silos

  • Significant complexities across multiple logistics stakeholders

  • The absence of aligned operational, sales, and financial plans

  • The need to automate recurring tasks and predict change success and failure

  • High waiting and loading times

  • Having many logistical steps

  • The inability to clearly identify scheduling impact on business performance

These inefficiencies directly impact your bottom line.

The approach

This automated demand forecasting, planning and scheduling of production, logistics and service processes uses innovative AI technologies to gradually remove people from making planning decisions.

It’s an analytical application that models current business processes and identifies and solves problems to help decrease costs, improve efficiency, and get products to market on-time and on-budget.

Planning calculations (and recalculations) no longer need as much time or manpower. In fact, precise planning can be done every day. Recalculations take as little as 50 seconds, and planning for the next 90 days can be done quickly and easily every 10 days. This allows greater scenario and risk planning and, more importantly, mitigation planning.

The solution offers a single, seamless source of data that provides cost and profitability measurements, analysis and reporting, and modelling and planning.

How does the solution work?

  • Analysis: predicting product demand, event correlation and anomaly detection, and cost calculations

  • Scenario planning & risk management: by making your business resilient to known and unknown risks, scenario planning becomes actionable

  • Implementation: easy to make changes that are optimised to deal with both volume and sparsity

  • Easy-to-navigate user interface: software applications for every role, can be used simultaneously by multiple people

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