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Development of a solution to grid complexities

New enhancements are coming to Livestock Data Link.

Project start date: 27 May 2021
Project end date: 05 August 2021
Publication date: 28 March 2022
Project status: Completed
Livestock species: Grain-fed Cattle, Grass-fed Cattle, Sheep, Goat, Lamb

Summary

The current way in which LDL manages grids is no longer fit for purpose, given the large amount of variation which exists across grids. ISC would like to better understand how the same information regarding “missed opportunity” in relation to non-compliance can be provided in a simpler way to producers in order to enhance their understanding and adoption of feedback. This project was aimed at investigating the opportunity for improvement in consultation and co-design with processors to understand how ISC can better capture and report grid information to producers.

Objectives

1. Understand the barriers and benefits to processors to release grid pricing data to producers
2. Identify a way in which processors would be willing to share grid pricing information to feedback system (formerly/currently LDL)
3. Using a human centred design approach, develop and test prototypes with users (processors) to enable the flow of grid information into feedback system (formerly LDL) (via the ISC Data Platform)
4. Develop the ideal solution to meet the needs of the feedback system (formerly LDL) product whilst ensuring optimal adoption of the solution by processors so ISC can collect the information (human centred design approach)
5. Transfer the developed solution to the ISC development team to develop into the ISC feedback system.

Key findings

Current LDL paradigms around how to absorb and present price grid data from processors constrains price grid data ingestion (technical and industry engagement constraints) which could be overcome with a generalised version of pricing information. Assembling generalised price data in a way that still aligns to producer production systems and livestock growth paths could provide a simpler and more useable feedback for producers.
This generalised aggregation would make it easier for processors to share aggregated price data from a technical perspective.
Benchmarking at a processor level would have less competitive disadvantage, with the potential to enable benchmarking that is not currently possible.

Benefits to industry

There is potential for the component findings of this project to re-imagine completely how alignment of livestock growth pathways with pricing decision making could transform transactional pricing grids to more progressive production to market decision making. Direct outputs of this project will help re-imagine individual producer price grid feedback as well as industry wide reporting of feedback benchmarking and performance analysis.

MLA action

The results of this project are now being incorporated into the designs of future development within ISC feedback products.

Future research

1. Aim for a grid capture MVP and initiate pilot with willing processors (and producers)
2. Perform further technical exploration to confirm data and system feasibility
3. Explore opportunities to integrate MSA/animal health information in new touchpoints.

For more information

Contact Project Manager: Naomi Leahy

E: reports@mla.com.au