Gundagai Meat Processors

Learn how Toustone’s Agi DI Solution enabled GMP to improve their productivity through the utilisation of data.

Gundagai Meat Processors

Learn how Toustone’s Agi DI Solution enabled GMP to improve their productivity through the utilisation of data.

GMP

About GMP

Gundagai Meat Processors (GMP) is located in the prime lamb growing region of Gundagai in NSW. Over the past 45 years, their business has evolved from processing 5,000 lambs a year to processing one million per year. They attribute their success to their innovative methods, the trust they have built with long-term clients, and investment in employees. GMP is a significant contributor to the local Gundagai economy, employing approximately 250 staff, one of the largest employers in the region.

www.gmpgundagai.com.au

Transport Operation

What's the biggest challenge in the meat processing industry?

“The biggest challenge the industry is facing right now is how to make sure we are as efficient as we can be, for us, the big ethos is you can’t manage what you can’t measure”

Will Barton, CEO at GMP

Transport Operation

What's the biggest challenge in the meat processing industry?

“The biggest challenge the industry is facing right now is how to make sure we are as efficient as we can be, for us, the big ethos is you can’t manage what you can’t measure”

Will Barton, CEO at GMP

GMP

The Challenge

The meat processing industry faces a higher cost to operate than other global competitors due to labour and regulatory costs, which creates a greater focus on operational efficiency and managing costs closely to generate more profit. This lead GMP to implement an expansion project with a significant investment in automation and the internet of things to create a data-rich environment. Soon after this, GMP realised that the investment in infrastructure and technology alone wasn’t enough. At the same time, the Red Meat Advisory Council (RMAC) released their ‘Red Meat 2030’ strategic outline and shared vision for the Australian red meat and livestock industries. The paper highlighted how the industry intends to achieve a new level of success by 2030, which is to double the value of red meat sales.

This led to the creation of a new set of industry priorities to help achieve this goal:

  • Systems
  • Markets
  • Livestock
  • Environment
  • People
  • Consumers, Customers, and Communities

These new industry priorities highlighted the need for improved efficiencies and lower costs to generate higher productivity to achieve this new level of success.

Meat Industry
GMP

For GMP, they looked at the Key Performance Indicators (KPIs) that were critical to their efficiency and growth. The manual entering and collection of data from several different systems to assess KPIs was taking up time that would be better spent working on how to improve their KPIs. As mentioned earlier, the meat processing industry operates at a higher cost compared to other sectors. Absenteeism is a significant contributor and has a major effect on understanding the true cost of labour, making it difficult to forecast and minimise the impact on productivity.

Moreover, the industry drivers’ assessment was based on ‘gut feeling’ and subjective interpretation of the data, requiring further creation of reports to communicate these results. The time between collection, interpretation, reporting and decision-making meant any resulting action was taken well after an event occurred making it difficult to analyse and forecast quickly to minimise impact. Having the data available instantly with automatic visualisation of a KPI dashboard report has ensured the business is consistently operating on current, up-to-date information and improve efficiency in operations to achieve their own KPIs and the RMACs 2030 strategic vision.

GMP

The Challenge

The meat processing industry faces a higher cost to operate than other global competitors due to labour and regulatory costs, which creates a greater focus on operational efficiency and managing costs closely to generate more profit. This lead GMP to implement an expansion project with a significant investment in automation and the internet of things to create a data-rich environment. Soon after this, GMP realised that the investment in infrastructure and technology alone wasn’t enough. At the same time, the Red Meat Advisory Council (RMAC) released their ‘Red Meat 2030’ strategic outline and shared vision for the Australian red meat and livestock industries. The paper highlighted how the industry intends to achieve a new level of success by 2030, which is to double the value of red meat sales.

This led to the creation of a new set of industry priorities to help achieve this goal:

  • Systems
  • Markets
  • Livestock
  • Environment
  • People
  • Consumers, Customers, and Communities

These new industry priorities highlighted the need for improved efficiencies and lower costs to generate higher productivity to achieve this new level of success.

For GMP, they looked at the Key Performance Indicators (KPIs) that were critical to their efficiency and growth. The manual entering and collection of data from several different systems to assess KPIs was taking up time that would be better spent working on how to improve their KPIs. As mentioned earlier, the meat processing industry operates at a higher cost compared to other sectors. Absenteeism is a significant contributor and has a major effect on understanding the true cost of labour, making it difficult to forecast and minimise the impact on productivity.

Moreover, the industry drivers’ assessment was based on ‘gut feeling’ and subjective interpretation of the data, requiring further creation of reports to communicate these results. The time between collection, interpretation, reporting and decision-making meant any resulting action was taken well after an event occurred making it difficult to analyse and forecast quickly to minimise impact. Having the data available instantly with automatic visualisation of a KPI dashboard report has ensured the business is consistently operating on current, up-to-date information and improve efficiency in operations to achieve their own KPIs and the RMACs 2030 strategic vision.

The Solution

With an established clear vision and a new set of priorities, the meat processing industry is facing challenges to improve productivity. At the core of this challenge, data is key. Toustone’s Agri Decision Intelligence solution delivers automated dashboard reporting based on current data. For GMP the automation of this process improved staff efficiency as the time previously spent entering and collecting data can now be used to focus on analysis and decision-making.

This advancement in data insight allowed GMP to identify the conditions that lead to absenteeism and its associated costs. This allowed greater management of future absenteeism, which resulted in improved labour costs and a higher retention rate.

The simplicity of dashboard reporting for GMP presents an opportunity for data insights, while also providing the ability to drill down to lower levels of detail to see the data behind the results. This automation enabled GMP to quickly alter or fix problems before they encountered any major costs. This solution enabled GMP to access high-level data insight to utilise equipment better, improve operating costs, increase their cents per kilo in sales, and have an overall positive impact on productivity.

GMP
GMP

The Solution

With an established clear vision and a new set of priorities, the meat processing industry is facing challenges to improve productivity. At the core of this challenge, data is key. Toustone’s Agri Decision Intelligence solution delivers automated dashboard reporting based on current data. For GMP the automation of this process improved staff efficiency as the time previously spent entering and collecting data can now be used to focus on analysis and decision-making.

This advancement in data insight allowed GMP to identify the conditions that lead to absenteeism and its associated costs. This allowed greater management of future absenteeism, which resulted in improved labour costs and a higher retention rate.

The simplicity of dashboard reporting for GMP presents an opportunity for data insights, while also providing the ability to drill down to lower levels of detail to see the data behind the results. This automation enabled GMP to quickly alter or fix problems before they encountered any major costs. This solution enabled GMP to access high-level data insight to utilise equipment better, improve operating costs, increase their cents per kilo in sales, and have an overall positive impact on productivity.

GMP

Key business outcomes

  • Enhanced efficiencies and improved KPI performance
  • Enabled continuous production improvements
  • Refined procedures to maximise production
  • Better management of absenteeism
  • An overall reduction in labour costs
  • Decision-making based on accurate, up-to-date data!
Transport Operation

Testimonial

“We are a ‘data rich’ plant. We have many systems capturing data which can be overwhelming and hard to manage but since working with Toustone they have positively influenced our labour costs and productivity. During this process, Toustone has been great to work with and is always readily available. We look forward to working more with them to bring even more value to the business.”

Will Barton, CEO at GMP

Transport Operation

Toustone Client

“We are a ‘data rich’ plant. We have many systems capturing data which can be overwhelming and hard to manage but since working with Toustone they have positively influenced our labour costs and productivity. During this process, Toustone has been great to work with and is always readily available. We look forward to working more with them to bring even more value to the business.”

Will Barton, CEO at GMP

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