Client Results

Industry 4.0 Project
Silver Fern Farms NZ


Precision target yield analytics utilising machine learning:

Silver Fern Farms have 14 meat processing plants across the country and are one of NZ’s largest employers and exporters. There is constant pressure to make improvements in an industry that operates with huge revenue, but wafer-thin margins.


The project is focused upon providing information and insights to the Leaders within the business, allowing them to make quicker and more appropriate decisions that will lift yield and revenue.  The main tools and approaches being utilised from the I4 suite are:

  • Data analytics
  • IoT connectivity of systems
  • Machine Learning

The pilot project has been completed and Silver Fern Farms are now rolling out the project across all plants.

Read the Callaghan case study here 

Contact us to get started now

Complete the questions below to test your data maturity.

Over the next two years, which three of the 14 key performance indicators do you most want to improve on as a business?

Make a note of these before you carry on reading.

The key 14 performance indicator categories:


  • Asset & equipment efficiency
  • Inventory efficiency
  • Materials efficiency
  • Utilities efficiency
  • Workforce efficiency


  • Planning & scheduling effectiveness
  • Production flexibility
  • Workforce flexibility


  • Time to market
  • Time to delivery


  • Product quality
  • Process quality
  • Safety
  • Security

Now ask yourself – what is your current performance against these three KPIs? Can you tell me how you performed in the last hour, yesterday or last week?

If you can’t answer this question for all three because you aren’t measuring the data, then the next step is clear. Figure out what data you need to enable you to measure it, and decide how you are going to collect that data.

If you can answer it historically; last week or last month – ask yourself, is this retrospective view sufficient for me to really make improvements?

If you can answer it for all three up to the minute, then it is quite possible that shopfloor intelligence isn’t a number one priority for you. Look out for parts 2 and 3 of this blog series for some more insights into how you can make the data work for you.